Power BI
Unlock the Full Potential of Your Data with the "Power BI Data Mastery Made Easy" Book Bundle!Are you ready to transform your data into actionable insights and make informed decisions that drive success? Look no further! Introducing the "Power BI Data Mastery Made Easy" book bundle, a comprehensive collection of resources that will empower you to harness the true power of Microsoft's leading business intelligence and data visualization tool-Power BI.Here's what you'll discover in this incredible bundle: Book 1 - Power BI Essentials: A Beginner's Guide to Data Visualization Mastery- Ideal for beginners: Build a solid foundation in data visualization.- Learn to import and transform data from various sources.- Master the art of data analysis and visualization.Book 2 - Mastering Power BI: Advanced Techniques and Best Practices for Analysts- Elevate your skills to the next level with advanced techniques.- Discover best practices for tackling complex analytical challenges.- Master DAX formulas and optimize data models.- Become an analytics expert and excel in your field.Book 3 - Power BI Data Modeling: Building Robust Datasets for Effective Analysis- Unlock the full potential of Power BI with robust data modeling.- Design efficient and flexible data models.- Gain the skills to create powerful data sets for effective analysis.Book 4 - Expert Power BI: Advanced Analytics and Custom Visualizations Mastery- Dive into the world of advanced analytics and custom visuals.- Explore machine learning integration and geographic analysis.- Become a Power BI expert and stand out in your field.Grab the "Power BI Data Mastery Made Easy" book bundle today and start your exciting adventure into the world of Power BI-where data mastery is within reach for everyone!
SQL Data Analytics Made Easy
Untangle the mesh of complex data with this user-friendly manual to SQLImagine a world overflowing with data - numbers, stats, facts, all buzzing around, waiting to tell a story. And you are in the middle of it all, seeking to make sense of this information whirlwind. Perhaps you're a professional trying to unlock new opportunities, a student aiming to stand out in the competitive job market, or simply just a curious individual fascinated by the power of data. Whichever it is, there's one common element that can help you navigate this vast sea of data - Structured Query Language (SQL). Think of it as your magical compass, guiding you to reveal the hidden treasures within data. SQL is not just a computer language - it's the bridge between you and valuable insights that can boost your career, enhance your studies, or even just satisfy your curiosity.The thought of stepping into this journey may feel daunting. You might be looking at this data ocean, wondering how you're ever going to make sense of it all. That's where exactly what this book is all about.This guide is all about turning what seems complex into something remarkably simple, replacing confusion with crystal-clear clarity, and answering the countless questions you've likely been struggling with.It's time to decode the complexities of data with SQL and evolve into a data wizard. Stop watching from the shoreline and dive into the data sea as you read this book, where inside you'll discover: The foundational principles of data analytics and the instrumental role of SQL - knowing the basics is the first step to success!Practical, hands-on exercises that will transition you from SQL novice to confident practitioner - level your skills up with every flip of this book's pagesProven techniques for data cleaning and integration using SQL (the secret ingredient behind sound data analysis)Advanced SQL queries to dig deep into data and extract meaningful insights - arrive at better and more reliable resultsHow to conduct robust statistical analyses using SQL... from hypothesis testing to regression analysis The art of creating compelling visualizations from SQL data - turn raw numbers into powerful storiesReal-world case studies that highlight the practical applications of SQL in various industriesAnd much more!Think SQL is too complex for you? Don't worry... this guide is designed to take you from the basics to advanced topics, regardless of your technical background.If you're concerned about practical applications, the book is laced with hands-on exercises to make sure you can apply the lessons immediately. Even better, there's no need to worry about evolving trends - SQL is a timeless skill, and this guide includes the latest advancements.So, what are you waiting for?It's time for data to make sense: Scroll up and click "Add to Cart" right now.
Economic Terms in the News During the Great Recession
This book explores the evolution of sentiment in economic terms in the press during financial crises applying a combination of sentiment analysis techniques and usage fluctuation analysis on a diachronic corpus derived from editorials in quality newspapers during the Great Recession. The book uncovers two key findings: first, certain economic terms become event words during times of crisis due to their increased use in the press and the general public, revealing rapid semantic changes in economic terms caused by major socio-economic events. Second, sentiment-laden collocations are found to be influenced by culture, highlighting language's adaptability to financial upheavals. This work proposes an innovative methodology that combines lexicon-based Sentiment Analysis, Corpus Linguistics, and qualitative Discourse Analysis to shed light on how language shapes economic discourse, making it a valuable resource for scholars exploring the relationship between language and historic events.
Mastering MongoDB 7.0 - Fourth Edition
Gain MongoDB expertise and discover advanced queries and Atlas insights with this ultimate guide to version 7.0Key Features: Enhance your proficiency in advanced queries, aggregation, and optimized indexing to achieve peak MongoDB performanceMonitor, back up, and integrate applications effortlessly with MongoDB AtlasImplement security thorough RBAC, auditing, and encryption to ensure comprehensive data protection and privacyPurchase of the print or Kindle book includes a free PDF eBookBook Description: Mastering MongoDB 7.0 explores the latest version of MongoDB, an exceptional NoSQL database solution that aligns with the needs of modern web applications. This book starts with an informative overview of MongoDB's architecture and developer tools, guiding you through the process of connecting to databases seamlessly.This MongoDB book explores advanced queries in detail, including aggregation pipelines and multi-document ACID transactions. It delves into the capabilities of the MongoDB Atlas developer data platform and the latest features, such as Atlas Vector Search, and their role in AI applications, enabling developers to build applications with the scalability and performance that today's organizations need. It also covers the creation of resilient search functionality using MongoDB Atlas Search. Mastering MongoDB 7.0's deep coverage of advanced techniques encompasses everything from role-based access control (RBAC) to user management, auditing practices, and encryption across data, network, and storage layers.By the end of this book, you'll have developed the skills necessary to create efficient, secure, and high-performing applications using MongoDB. You'll have the confidence to undertake complex queries, integrate robust applications, and ensure data security to overcome modern data challenges.What You Will Learn: Execute advanced MongoDB queries for intricate data insightsHarness the power of aggregation pipelines to transform dataEnsure data integrity with multi-document ACID transactionsOptimize query performance using strategic indexing techniquesNavigate MongoDB Atlas seamlessly for monitoring and backupsEnable robust search functionality with Atlas SearchMaster RBAC, user management, and data encryption for securityImplement auditing practices for transparency and accountabilityWho this book is for: This book is for developers with an intermediate skill level who aim to become MongoDB experts. Working knowledge of MongoDB is recommended to gain the most from this guide. Ideal for database administrators, app developers, and software engineers, this book will assist you in developing advanced skills to conquer intricate data tasks.
Ubiquitous Security
This book constitutes the proceedings of the Third International Conference, UbiSec 2023, held in Exeter, UK, during November 1-3, 2023.The 29 full papers were carefully reviewed and selected from 91 submissions. They were organized in following topical sections: Cyberspace Security, Cyberspace Privacy, Cyberspace Anonymity
Data Warehouse and Data Mining
Data warehouse and data mining are essential technologies in the field of data analysis and business intelligence. Data warehouse provides a centralized repository of structured data and facilitates data storage and retrieval. Data mining, on the other hand, utilizes various algorithms and techniques to extract valuable patterns, trends, and insights from large datasets. The book explains the ins and outs of data warehousing by discussing its principles, benefits, and components, differentiating it from traditional databases. The readers will explore warehouse architecture, learn to navigate OLTP and OLAP systems, grasping the crux of the difference between ROLAP and MOLAP. The book is designed to help you discover data mining secrets with techniques like classification and clustering. You will be able to advance your skills by handling multimedia, time series, and text, staying ahead in the evolving data mining landscape.
Chatbot Research and Design
This book constitutes the proceedings of the 7th International Workshop on Chatbot Research and Design, CONVERSATIONS 2023, which was held during November 2023.The 12 regular papers were carefully reviewed and selected for inclusion in the book. They were organized in following topical sections: Understanding and Enhancing Conversational Interactions, LLM-driven Conversational Design and Analysis, Ethical Perspectives and Bias, Complementing Perspectives.
The Ultimate Power Query Cookbook for Power Bi and Excel
Novice or expert, learn to simplify and optimize data transformationsDESCRIPTION "The Ultimate Power Query Cookbook for Power BI and Excel" serves up easy-to-follow recipes that transform data into meaningful insights. You will learn to clean messy files, combine datasets, and even use AI magic to Power BI and Excel.This book will walk you through the basics of getting connected to data with Power Query. You will understand how to ingest data from files, folders, databases, websites, APIs, and other third party sources. Once connected, you will learn how to transform the data so it is ready for your use. We will clean up columns, filter, replace, extract, and classify data in Power Query to meet your needs. The book offers over 100 practical recipes, ensuring you understand each step with clear explanations and examples. Lastly, we will go over advanced techniques to help optimize and simplify your transformations allowing fast refreshes all while helping you manage them in the future.This book will help you know how to apply these techniques and recipes to your data all while understanding the implications of making certain decisions. This will enable you to have better conversations with other data professionals who are providing data for your use.WHAT YOU WILL LEARN● Learn to connect to files, databases, and third-party services.● Manage data types and formats to optimize storage.● Transform, create, and manipulate queries.● Combine, merge, filter, and cleanse queries.● Integrate artificial intelligence to accelerate insights.● Perform complex and scalable transformations.WHO THIS BOOK IS FORNovice or expert, this book is designed for all Excel users, data analysts, Power BI power users, business professionals and data enthusiasts to get the most out of your data solutions when transforming your data in Power Query.
Analysis of Images, Social Networks and Texts
This book constitutes revised selected papers from the thoroughly refereed proceedings of the 11th International Conference on Analysis of Images, Social Networks and Texts, AIST 2023, held in Yerevan, Armenia, during September 28-30, 2023. The 24 full papers included in this book were carefully reviewed and selected from 93 submissions. They were organized in topical sections as follows: natural language processing; computer vision; data analysis and machine learning; network analysis; and theoretical machine learning and optimization. The book also contains one invited talk in full paper length.
Service-Oriented Computing - Icsoc 2023 Workshops
This book constitutes revised selected papers from the scientific satellite events held in conjunction with the 21st International Conference on Service-Oriented Computing, ICSOC 2023. The conference was held in Rome, Italy, during November 28 - December 1, 2023.This year, these satellite events were organized around four main tracks, including a workshop track, a demonstration track, a Ph.D. symposium, and an invited tutorial track.The ICSOC 2023 workshop track consisted of the following six workshops covering a wide range of topics that fall into the general area of service computing: Third International Workshop on AI-Enabled Process Automation (AI-PA 2023)7th Workshop on Adaptive Service-Oriented and Cloud Applications (ASOCA2023)First International Workshop on Secure, Accountable and Privacy-Preserving Data-Driven Service-Oriented Computing (SAPD 2023)First Services and Quantum Software Workshop (SQS 2023)First International Workshop on Sustainable Service-Oriented Computing: Addressing Environmental, Social, and Economic Dimensions (SSCOPE 2023) 19th International Workshop on Engineering Service-Oriented Applications and Cloud Services (WESOACS 2023)
MATLAB for Machine Learning - Second Edition
Master MATLAB tools for creating machine learning applications through effective code writing, guided by practical examples showcasing the versatility of machine learning in real-world applicationsKey FeaturesWork with the MATLAB Machine Learning Toolbox to implement a variety of machine learning algorithmsEvaluate, deploy, and operationalize your custom models, incorporating bias detection and pipeline monitoringUncover effective approaches to deep learning for computer vision, time series analysis, and forecastingPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionDiscover why the MATLAB programming environment is highly favored by researchers and math experts for machine learning with this guide which is designed to enhance your proficiency in both machine learning and deep learning using MATLAB, paving the way for advanced applications.By navigating the versatile machine learning tools in the MATLAB environment, you'll learn how to seamlessly interact with the workspace. You'll then move on to data cleansing, data mining, and analyzing various types of data in machine learning, and visualize data values on a graph. As you progress, you'll explore various classification and regression techniques, skillfully applying them with MATLAB functions.This book teaches you the essentials of neural networks, guiding you through data fitting, pattern recognition, and cluster analysis. You'll also explore feature selection and extraction techniques for performance improvement through dimensionality reduction. Finally, you'll leverage MATLAB tools for deep learning and managing convolutional neural networks.By the end of the book, you'll be able to put it all together by applying major machine learning algorithms in real-world scenarios.What you will learnDiscover different ways to transform data into valuable insightsExplore the different types of regression techniquesGrasp the basics of classification through Naive Bayes and decision treesUse clustering to group data based on similarity measuresPerform data fitting, pattern recognition, and cluster analysisImplement feature selection and extraction for dimensionality reductionHarness MATLAB tools for deep learning explorationWho this book is forThis book is for ML engineers, data scientists, DL engineers, and CV/NLP engineers who want to use MATLAB for machine learning and deep learning. A fundamental understanding of programming concepts is necessary to get started.Table of ContentsExploring MATLAB for Machine LearningWorking with Data in MATLABPrediction Using Classification and RegressionClustering Analysis and Dimensionality ReductionIntroducing Artificial Neural Networks ModelingDeep Learning and Convolutional Neural NetworksNatural Language Processing Using MATLABMATLAB for Image Processing and Computer VisionTime Series Analysis and Forecasting with MATLABMATLAB Tools for Recommender SystemsAnomaly Detection in MATLAB
Data Engineering with Scala and Spark
Take your data engineering skills to the next level by learning how to utilize Scala and functional programming to create continuous and scheduled pipelines that ingest, transform, and aggregate dataKey FeaturesTransform data into a clean and trusted source of information for your organization using ScalaBuild streaming and batch-processing pipelines with step-by-step explanationsImplement and orchestrate your pipelines by following CI/CD best practices and test-driven development (TDD)Purchase of the print or Kindle book includes a free PDF eBookBook DescriptionMost data engineers know that performance issues in a distributed computing environment can easily lead to issues impacting the overall efficiency and effectiveness of data engineering tasks. While Python remains a popular choice for data engineering due to its ease of use, Scala shines in scenarios where the performance of distributed data processing is paramount. This book will teach you how to leverage the Scala programming language on the Spark framework and use the latest cloud technologies to build continuous and triggered data pipelines. You'll do this by setting up a data engineering environment for local development and scalable distributed cloud deployments using data engineering best practices, test-driven development, and CI/CD. You'll also get to grips with DataFrame API, Dataset API, and Spark SQL API and its use. Data profiling and quality in Scala will also be covered, alongside techniques for orchestrating and performance tuning your end-to-end pipelines to deliver data to your end users. By the end of this book, you will be able to build streaming and batch data pipelines using Scala while following software engineering best practices.What you will learnSet up your development environment to build pipelines in ScalaGet to grips with polymorphic functions, type parameterization, and Scala implicitsUse Spark DataFrames, Datasets, and Spark SQL with ScalaRead and write data to object storesProfile and clean your data using DeequPerformance tune your data pipelines using ScalaWho this book is forThis book is for data engineers who have experience in working with data and want to understand how to transform raw data into a clean, trusted, and valuable source of information for their organization using Scala and the latest cloud technologies. Table of ContentsScala Essentials for Data EngineersEnvironment SetupAn Introduction to Apache Spark and Its APIs - DataFrame, Dataset, and Spark SQLWorking with DatabasesObject Stores and Data LakesUnderstanding Data TransformationData Profiling and Data QualityTest-Driven Development, Code Health, and MaintainabilityCI/CD with GitHubData Pipeline OrchestrationPerformance TuningBuilding Batch Pipelines Using Spark and ScalaBuilding Streaming Pipelines Using Spark and Scala
Computer Science and Education. Computer Science and Technology
T​his three-volume set constitues selected papers presented at the 18th International Conference on Computer Science and Education, ICCSE 2023, held in Sepang, Malaysia, in December 2023. The 106 full papers and 36 short papers presented were thoroughly reviewed and selected from the 305 submissions. They focus on a wide range of computer science topics, especially AI, data science, and engineering, and technology-based education, by addressing frontier technical and business issues essential to the applications of data science in both higher education and advancing e-Society.
Data-Centric Business and Applications
This book examines aspects of financial and investment processes, as well as the application of information technology mechanisms to business and industrial management, using the experience of the Ukrainian economy as an example. An effective tool for supporting business data processing is combining modern information technologies and the latest achievements in economic theory. The variety of industrial sectors studied supports the continuous acquisition and use of efficient business analysis in organizations. In addition, the book elaborates on multidisciplinary concepts, examples, and practices that can be useful for researching the evolution of developments in the field. Also, in this book, there is a description of analysis methods for making decisions in business, finance, and innovation management.
Machine Learning, Optimization, and Data Science
This book constitutes the refereed proceedings of the 9th International Conference on Machine Learning, Optimization, and Data Science, LOD 2023, which took place in Grasmere, UK, in September 2023. The 72 full papers included in this book were carefully reviewed and selected from 119 submissions. The proceedings also contain 9 papers from and the Third Symposium on Artificial Intelligence and Neuroscience, ACAIN 2023. The contributions focus on the state of the art and the latest advances in the integration of machine learning, deep learning, nonlinear optimization and data science to provide and support the scientific and technological foundations for interpretable, explainable and trustworthy AI.
100 Livestreaming & Digital Media Predictions, Volume 4
WINNER OF 21 BOOK AWARDSIn the ever-evolving digital media landscape, where Artificial Intelligence (AI) reshapes creativity and connection, "100 Livestreaming & Digital Media Predictions, Volume 4" emerges as your essential guide. Compiled by Ross Brand, an on-air personality and consultant for leading live video brands, this latest volume in our award-winning series (with 25 book awards to its name) is more than just a collection of predictions; it's a roadmap to mastering the digital realm in 2024 and beyond. Within these pages, 113 expert contributors, including Emmy winners, renowned YouTube influencers and Hall of Fame podcasters, share their foresight. They delve into how AI is redefining content creation, offering both foundational advice and groundbreaking strategies. From exploring AI's role in enhancing productivity to addressing fears of losing authenticity, this book tackles the pressing questions every creator and entrepreneur faces: What are the essential tools to integrate AI into your work?How can AI be leveraged to maximize efficiency without sacrificing creativity?What are the pitfalls of AI in digital media, and how can you navigate them?How can you maintain a genuine connection with your audience in an AI-driven world?"100 Livestreaming & Digital Media Predictions, Volume 4" isn't just a window into the future; it's a treasure trove of insights from industry leaders. You'll find exclusive predictions that shed light on emerging trends and practical pathways to navigate the complex interplay of AI and human creativity. Whether you're a seasoned creator or just starting, this book equips you with the knowledge to thrive in the dynamic digital media frontier. Critics and peers alike praise the "100 Predictions" series for its depth, accuracy and utility. As the fourth installment, this volume continues the tradition of excellence, offering a unique blend of expert opinions and actionable advice. Embark on a journey through the converging paths of AI and human ingenuity. Let the insights of seasoned experts arm you with the tools to not just anticipate the future but to shape it. GET IT NOW and be part of the vanguard shaping the digital media landscape in 2024 and beyond.
Data-Centric Business and Applications
This book examines aspects of financial and investment processes, as well as the application of information technology mechanisms to business and industrial management, using the experience of the Ukrainian economy as an example. An effective tool for supporting business data processing is combining modern information technologies and the latest achievements in economic theory. The variety of industrial sectors studied supports the continuous acquisition and use of efficient business analysis in organizations. In addition, the book elaborates on multidisciplinary concepts, examples, and practices that can be useful for researching the evolution of developments in the field. Also, in this book, there is a description of analysis methods for making decisions in business, finance, and innovation management.
Data Mining and Big Data
This two-volume set, CCIS 2017 and 2018 constitutes the 8th International Conference, on Data Mining and Big Data, DMBD 2023, held in Sanya, China, in December 2023. The 38 full papers presented in this two-volume set included in this book were carefully reviewed and selected from 79 submissions. The papers present the latest research on advantages in theories, technologies, and applications in data mining and big data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc.
Data Mining and Big Data
This two-volume set, CCIS 2017 and 2018 constitutes the 8th International Conference, on Data Mining and Big Data, DMBD 2023, held in Sanya, China, in December 2023. The 38 full papers presented in this two-volume set included in this book were carefully reviewed and selected from 79 submissions. The papers present the latest research on advantages in theories, technologies, and applications in data mining and big data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc.
Computer Science and Education. Educational Digitalization
T​his three-volume set constitues selected papers presented at the 18th International Conference on Computer Science and Education, ICCSE 2023, held in Sepang, Malaysia, in December 2023. The 106 full papers and 36 short papers presented were thoroughly reviewed and selected from the 305 submissions. They focus on a wide range of computer science topics, especially AI, data science, and engineering, and technology-based education, by addressing frontier technical and business issues essential to the applications of data science in both higher education and advancing e-Society.
Computer Science and Education. Teaching and Curriculum
T​his three-volume set constitues selected papers presented at the 18th International Conference on Computer Science and Education, ICCSE 2023, held in Sepang, Malaysia, in December 2023. The 106 full papers and 36 short papers presented were thoroughly reviewed and selected from the 305 submissions. They focus on a wide range of computer science topics, especially AI, data science, and engineering, and technology-based education, by addressing frontier technical and business issues essential to the applications of data science in both higher education and advancing e-Society.
ICT Innovations 2023. Learning: Humans, Theory, Machines, and Data
This book constitutes the refereed proceedings of the 15th International Conference on ICT Innovations 2023. Learning: Humans, Theory, Machines, and Data, ICT Innovations 2023, held in Ohrid, North Macedonia during September 24-26, 2023.The 17 full papers included in this book were carefully reviewed and selected from 52 submissions. They are organized in sections by topics as follows: AI and natural language processing; bioinformatics; dew computing; e-learning and e-services; image processing; network science; theoretical informatics.
Principles of Data Science - Third Edition
Transform your data into insights with must-know techniques and mathematical concepts to unravel the secrets hidden within your dataKey FeaturesLearn practical data science combined with data theory to gain maximum insights from dataDiscover methods for deploying actionable machine learning pipelines while mitigating biases in data and modelsExplore actionable case studies to put your new skills to use immediatelyPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionPrinciples of Data Science bridges mathematics, programming, and business analysis, empowering you to confidently pose and address complex data questions and construct effective machine learning pipelines. This book will equip you with the tools to transform abstract concepts and raw statistics into actionable insights.Starting with cleaning and preparation, you'll explore effective data mining strategies and techniques before moving on to building a holistic picture of how every piece of the data science puzzle fits together. Throughout the book, you'll discover statistical models with which you can control and navigate even the densest or the sparsest of datasets and learn how to create powerful visualizations that communicate the stories hidden in your data.With a focus on application, this edition covers advanced transfer learning and pre-trained models for NLP and vision tasks. You'll get to grips with advanced techniques for mitigating algorithmic bias in data as well as models and addressing model and data drift. Finally, you'll explore medium-level data governance, including data provenance, privacy, and deletion request handling.By the end of this data science book, you'll have learned the fundamentals of computational mathematics and statistics, all while navigating the intricacies of modern ML and large pre-trained models like GPT and BERT.What you will learnMaster the fundamentals steps of data science through practical examplesBridge the gap between math and programming using advanced statistics and MLHarness probability, calculus, and models for effective data controlExplore transformative modern ML with large language modelsEvaluate ML success with impactful metrics and MLOpsCreate compelling visuals that convey actionable insightsQuantify and mitigate biases in data and ML modelsWho this book is forIf you are an aspiring novice data scientist eager to expand your knowledge, this book is for you. Whether you have basic math skills and want to apply them in the field of data science, or you excel in programming but lack the necessary mathematical foundations, you'll find this book useful. Familiarity with Python programming will further enhance your learning experience.Table of ContentsData Science TerminologyTypes of DataThe Five Steps of Data ScienceBasic MathematicsImpossible or Improbable - A Gentle Introduction to ProbabilityAdvanced ProbabilityWhat are the Chances? An Introduction to StatisticsAdvanced StatisticsCommunicating Data How to Tell if Your Toaster is Learning - Machine Learning EssentialsPredictions Don't Grow on Trees, or Do They?Introduction to Transfer Learning and Pre-trained ModelsMitigating Algorithmic Bias and Tackling Model and Data DriftAI GovernanceNavigating Real-World Data Science Case Studies in Action
Mastering Snowflake Platform
Handling ever evolving data for business needs can get complex. Traditional methods create bulky and costly-to-maintain data systems. Here, Snowflake emerges as a cost-effective solution, catering to both traditional and modern data needs with zero or minimal maintenance costs. This book helps you grasp Snowflake, guiding you to create complete solutions from start to finish. The starting focus covers Snowflake architecture, key features, native loading and unloading capabilities, ANSI SQL support, and processing of diverse data types and objects. The next part utilizes acquired knowledge to look into implementing data security, governance, and collaborations, utilizing Snowflake's features like data sharing and cloning.
Chinese Lexical Semantics
This book constitutes the refereed proceedings of the 24th Workshop on Chinese Lexical Semantics, CLSW 2023, held in Singapore, during May 19-21, 2023. The 61 full papers and 15 short papers included in this book were carefully reviewed and selected from 215 submissions. They are organized in the following topical sections: lexical semantics and related fields, including Theoretical Linguistics, Applied Linguistics, Computational Linguistics, Computational Lexicography, Phycological Linguistics, and Sociological linguistics.
Influence Unleashed
"Influence Unleashed: How to Make Your Social Media Presence Strong" is the most important book you need to learn how to use digital influence in the fast-paced world of social media. This book, written by the experienced expert Lucia Santoro, is a complete guide that gives people and companies the tools they need to not only survive but also thrive in the constantly changing world of social media."Influence Unleashed" is the ultimate guide to building a strong and influential social media presence in a world where being seen online is the same thing as being successful. This book gives you tried-and-true methods and useful information to make your mark in the digital world, whether you want to be an influencer, an entrepreneur, or a worker who wants to improve your personal brand.Lucia Santoro is a pioneer in the field of social media impact. In this book, she distills her years of experience and knowledge into an interesting story that reveals how to build a strong and lasting online presence. Each part is a treasure trove of information meant to help you become successful on social media. It covers everything from finding your target audience and creating your personal brand to using the newest social media analytics tools and following the latest trends.Learn how to use pictures and videos to tell stories, how to understand the different types of people who might be interested in your content, and how to get the most out of working with influential people in your area. It's not just about ideas; "Influence Unleashed" also tells you how to engage your audience in a real way, get more likes, comments, and shares, and react to comments and messages in a good way.Diversifying your income streams, looking into sponsored content and affiliate marketing, and making the most of your e-commerce channels on social media sites are all things you can do to stay ahead of the pack. It's not just about short-term gains; the book also talks about how to make deep, long-lasting relationships with your audience."Influence Unleashed" by Lucia Santoro is a lively guide that gets to the heart of what it takes to do well in the constantly changing world of social media. This book is your guide to navigating the digital world, claiming your influence, and making your social media presence not just strong but truly powerful. It is full of real-life examples, case studies, and tips that you can use right away. This is the guide you've been waiting for to get the most out of your online impact, no matter how much experience you have with social media.
Computational Data and Social Networks
This book constitutes the refereed conference proceedings of the 12th International Conference on Computational Data and Social Networks, CSoNet 2023, held in Hanoi, Vietnam, in December 2023.The 23 full papers and 14 short papers presented in this book were carefully reviewed and selected from 64 submissions. The papers are divided into the following topical sections: machine learning and prediction; optimization; security and blockchain; and network analysis.
Mastering MongoDB 7.0 - Fourth Edition
Gain MongoDB expertise and discover advanced queries and Atlas insights with this ultimate guide to version 7.0Key FeaturesEnhance your proficiency in advanced queries, aggregation, and optimized indexing to achieve peak MongoDB performanceMonitor, back up, and integrate applications effortlessly with MongoDB AtlasImplement security thorough RBAC, auditing, and encryption to ensure comprehensive data protection and privacyPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionMastering MongoDB 7.0 explores the latest version of MongoDB, an exceptional NoSQL database solution that aligns with the needs of modern web applications. This book starts with an informative overview of MongoDB's architecture and developer tools, guiding you through the process of connecting to databases seamlessly. This MongoDB book explores advanced queries in detail, including aggregation pipelines and multi-document ACID transactions. It delves into the capabilities of the MongoDB Atlas developer data platform and the latest features, such as Atlas Vector Search, and their role in AI applications, enabling developers to build applications with the scalability and performance that today's organizations need. It also covers the creation of resilient search functionality using MongoDB Atlas Search. Mastering MongoDB 7.0's deep coverage of advanced techniques encompasses everything from role-based access control (RBAC) to user management, auditing practices, and encryption across data, network, and storage layers. By the end of this book, you'll have developed the skills necessary to create efficient, secure, and high-performing applications using MongoDB. You'll have the confidence to undertake complex queries, integrate robust applications, and ensure data security to overcome modern data challenges.What you will learnExecute advanced MongoDB queries for intricate data insightsHarness the power of aggregation pipelines to transform dataEnsure data integrity with multi-document ACID transactionsOptimize query performance using strategic indexing techniquesNavigate MongoDB Atlas seamlessly for monitoring and backupsEnable robust search functionality with Atlas SearchMaster RBAC, user management, and data encryption for securityImplement auditing practices for transparency and accountabilityWho this book is forThis book is for developers with an intermediate skill level who aim to become MongoDB experts. Working knowledge of MongoDB is recommended to gain the most from this guide. Ideal for database administrators, app developers, and software engineers, this book will assist you in developing advanced skills to conquer intricate data tasks.Table of ContentsIntroduction to MongoDBThe MongoDB ArchitectureDeveloper ToolsConnecting to MongoDBCRUD Operations and Basic QueriesSchema Design and Data ModelingAdvanced Querying in MongoDBAggregationMulti-Document ACID TransactionsIndex OptimizationMongoDB Atlas: Powering the Future of Developer Data PlatformsMonitoring and Backup in MongoDBIntroduction to Atlas SearchIntegrating Applications with MongoDBSecurityAuditingEncryption
Advanced Engineering, Technology and Applications
This book constitutes the Revised Selected Papers of the Second International Conference, ICAETA 2023, held in Istanbul, Turkey, during March 10-11, 2023.The 37 full papers included in this volume were carefully reviewed and selected from 139 submissions. The topics cover a range of areas related to engineering, technology, and applications. Main themes of the conference include, but are not limited to: Data Analysis, Visualization and Applications; Artificial Intelligence, Machine Learning and Computer Vision; Computer Communication and Networks; Signal Processing and Applications; Electronic Circuits, Devices, and Photonics; Power Electronics and Energy Systems.
Winning with Data Science
Whether you are a newly minted MBA or a project manager at a Fortune 500 company, data science will play a major role in your career. Knowing how to communicate effectively with data scientists in order to obtain maximum value from their expertise is essential. This book is a compelling and comprehensive guide to data science, emphasizing its real-world business applications and focusing on how to collaborate productively with data science teams. Taking an engaging narrative approach, Winning with Data Science covers the fundamental concepts without getting bogged down in complex equations or programming languages. It provides clear explanations of key terms, tools, and techniques, illustrated through practical examples. The book follows the stories of Kamala and Steve, two professionals who need to collaborate with data science teams to achieve their business goals. Howard Steven Friedman and Akshay Swaminathan walk readers through each step of managing a data science project, from understanding the different roles on a data science team to identifying the right software. They equip readers with critical questions to ask data analysts, statisticians, data scientists, and other technical experts to avoid wasting time and money. Winning with Data Science is a must-read for anyone who works with data science teams or is interested in the practical side of the subject.
Redis Stack for Application Modernization
Discover the multi-model capabilities of Redis Stack as a document store and vector database, with support for time series, stream processing, probabilistic data structures, and moreKey FeaturesModel, index, and search data using JSON and vector data typesModernize your applications with vector similarity search, documents hybrid search, and moreConfigure a scalable, highly available, and secure server using RedisInsightPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionIn modern applications, efficiency in both operational and analytical aspects is paramount, demanding predictable performance across varied workloads. This book introduces you to Redis Stack, an extension of Redis and guides you through its broad data modeling capabilities. With practical examples of real-time queries and searches, you'll explore Redis Stack's new approach to providing a rich data modeling experience all within the same database server.You'll learn how to model and search your data in the JSON and hash data types and work with features such as vector similarity search, which adds semantic search capabilities to your applications to search for similar texts, images, or audio files. The book also shows you how to use the probabilistic Bloom filters to efficiently resolve recurrent big data problems. As you uncover the strengths of Redis Stack as a data platform, you'll explore use cases for managing database events and leveraging introduce stream processing features. Finally, you'll see how Redis Stack seamlessly integrates into microservices architectures, completing the picture.By the end of this book, you'll be equipped with best practices for administering and managing the server, ensuring scalability, high availability, data integrity, stored functions, and more.What you will learnGet started with data modeling using JSON and hash documents, vectors, and time seriesImplement microservices patterns and resolve typical use casesUse probabilistic data structures to analyze datasets and streamsIntegrate Redis Stack into your Java, Python, C#, Golang, and Node.js projectsDevelop powerful data flows using triggers and stream processing featuresManage your database server for scalability, high availability, and securityVisualize and manage your data with RedisInsightWho this book is forThis book is for database administrators, database developers, software developers, and software architects who want to discover the powerful real-time, multi-model capabilities of the Redis Stack database. A basic understanding of Redis and databases in general, coupled with software development skills in at least one of Java, Python, C#, Golang, or JavaScript languages will help you understand the concepts covered in this book.Table of ContentsIntroducing Redis StackResolving Use Cases with Redis StackGetting Started with Redis StackSetting Up Client LibrariesRedis Stack as a document storeRedis Stack as a vector databaseRedis Stack as a time series databaseUnderstanding Probabilistic Data StructuresProgrammability of Redis StackRedisInsight: the Data Management GUIUsing Redis Stack as a primary databaseManaging development and production environments
Benchmarking, Measuring, and Optimizing
This book constitutes the refereed proceedings of the 14th BenchCouncil International Symposium on Benchmarking, Measuring, and Optimizing, Bench 2023, held in Sanya, China, during December 3-5, 2023. The 11 full papers included in this book were carefully reviewed and selected from 20 submissions. The Bench symposium invites papers that exhibit three defining characteristics: (1) It provides a high-quality, single-track forum for presenting results and discussing ideas that further the knowledge and understanding of the benchmark community; (2) It is a multi-disciplinary conference, attracting researchers and practitioners from different communities, including architecture, systems, algorithms, and applications; (3) The program features both invited and contributed talks.
Statistics Using Python
This book is designed to offer a fast-paced yet thorough introduction to essential statistical concepts using Python code samples, and aims to assist data scientists in their daily endeavors. The ability to extract meaningful insights from data requires a deep understanding of statistics. The book ensures that each topic is introduced with clarity, followed by executable Python code samples that can be modified and applied according to individual needs. Topics include working with data and exploratoryanalysis, the basics of probability, descriptive and inferential statistics and their applications, metrics for data analysis, probability distributions, hypothesis testing, and more. Appendices on Python and Pandas have been included. From foundational Python concepts to the intricacies of statistics, this book serves as a comprehensive resource for both beginners and seasoned professionals. FEATURESProvides Python code samples to ensure readers can immediately apply what they learnCovers everything from basic data handling to advanced statistical conceptsFeatures downloadable companion files with code samples and figuresIncludes two appendices, An Introduction to Python and an Introduction to Pandas as refresher material
Intelligent Computers, Algorithms, and Applications
This book constitutes the proceedings of the Third BenchCouncil International Symposium on Intelligent Computers, Algorithms, and Applications, IC 2023, which took place in Sanya, China, in December 2023. The 18 full papers and 8 short papers included in this book were carefully reviewed and selected from 50 submissions. They were organized in topical sections as follows: AI Algorithms and Systems; AI for Ocean science and engineering; AI in finance; AI for education; AI for materials science and engineering; AI for medicine; AI for civil aviation; AI for high energy physics; AI for law.
Smart Objects and Technologies for Social Good
This book constitutes the refereed post-conference proceedings of the 9th EAI International Conference on Smart Objects and Technologies for Social Goods, GOODTECHS 2023, held in Leiria, Portugal, during October 18-20, 2023.The 13 full papers included in this book were carefully reviewed and selected from 30 submissions. They were organized in topical sections as follows: designing, implementing, deploying, operating, and evaluating smart objects and technologies for social benefit.
Mapping the Enterprise
One of the hardest tasks strategists and enterprise architects face is mapping an enterprise in a form that creates and supports making sense of the whole. This book introduces an alternate approach to create consistency at every level by modelling the enterprise as services with the Enterprise Canvas. This new model type that can be used to describe just about anything in any area and at any level of the enterprise, and that acts as a consistent frame for all the other models that we need in our architectures. It is also simple enough to scribble on the back of a napkin - and engage all of your stakeholders in the enterprise-scale conversations you need. There is also a simple notation for Enterprise Canvas that is suitable for use in service-design toolsets. The book teaches the use of architectural techniques to describe any aspect of the enterprise. It will help you identify the business reasons and business value for every activity, and you will also learn how to align strategy, tactics and operations to enterprise vision and values. By the end of this book, you will understand how an enterprise works as a web of services, and what needs to be done to make your enterprise work in the best possible way. What You'll Learn Gain insight into the concepts of service to enhance agility, adaptability and resilience.Understand how to enhance efficiency and effectiveness throughout the enterprise.Grasp how an enterprise is made up of services that each serve an overall set of needs Who This Book Is For Enterprise architects, Business architects, IT architects and process designers.
Spatial SQL
Spatial SQL: A Practical Approach to Modern GIS Using SQLby Matthew ForrestLearn to create, index and query spatial databases using SQL that applies to PostgreSQL/PostGIS and more.Learn how to use Spatial SQL to analyze and manipulate geographic data. This book covers everything from basic spatial queries to advanced spatial analysis techniques all using SQL. Even if you don't know how SQL, this book starts from the beginning all the way to advanced queries.Over 500 pages covers a comprehensive set of GIS topics.Why SQL? - The evolution to modern GIS, why spatial SQL matters, and the spatial SQL landscape todaySetting up - Installing PostGIS with Docker on any operating systemThinking in SQL - How to move from desktop GIS to SQL and learn how to structure queries independentlyThe basics of SQL - Import data to PostgreSQL and PostGIS, SQL data types, and core SQL operationsAdvanced SQL - Statistical functions, joins, window functions, managing data, and user-defined functionsUsing the GEOMETRY - Working with GEOMETRY and GEOGRAPHY data, data manipulation, and measurementsSpatial relationships - Spatial joins, distance relationships, clustering, and overlay functionsSpatial analysis - Recreate common spatial analysis "toolbox" tools all in spatial SQLAdvanced analysis - Data enrichment, line of sight, kernel density estimation, and moreRaster data - Importing, analyzing, interpolating, and using H3 spatial indexes with raster data in PostGISSuitability analysis - Importing, analyzing, interpolating, and using H3 spatial indexes with raster data in PostGISRouting with pgRouting - Routing for cars and bikes, travel time isochrones, and traveling salesperson problemSpatial data science - Spatial autocorrelation, location allocation, and create territories with PySAL in PostGIS
Computer Applications
The two-volume set CCIS 1959 and 1960 constitutes the refereed post-conference proceedings of the 38th CCF National Conference on Computer Applications, CCF NCCA 2023, held in Suzhou, China, during July 16-20, 2023.The 39 revised full papers presented in these proceedings were carefully reviewed and selected from 197 submissions. The papers are organized in the following topical sections: Volume I: Artificial intelligence and application. Volume II: Data science and technology; pattern recognition and machine learning; network communication and security; frontier and comprehensive applications.
Big Data
This book constitutes the refereed proceedings of the 11th CCF Conference on BigData 2023, which took place in Nanjing, China, in September 2023. The 14 full papers presented in this volume were carefully reviewed and selected from 69 submissions. The topics of accepted papers include theories and methods of data science, algorithms and applications of big data.
Operations Research and Enterprise Systems
This book includes extended and revised versions of selected papers from the 11th and 12th editions of the International Conference on Operations Research and Enterprise Systems (ICORES 2022 and ICORES 2023). ICORES 2022 was held as a virtual event in February 2022, and ICORES 2023 was held in Lisbon, Portugal, in February 2023. The 5 full papers included in this book were carefully reviewed and selected from the 55 submissions for ICORES 2022, and 8 full papers were reviewed and selected from the 55 submissions for ICORES 2023. The papers are focused on operations research and enterprise systems.
Transfer, Diffusion and Adoption of Next-Generation Digital Technologies
This book constitutes the refereed proceedings of the IFIP WG 8.6 International Working Conference on Transfer and Diffusion of IT, TDIT 2023, which took place in Nagpur, India, in December 2023. The 87 full papers and 23 short papers presented in these proceedings were carefully reviewed and selected from 209 submissions. The papers are organized in the following topical sections: Volume I: Digital technologies (artificial intelligence) adoption; digital platforms and applications; digital technologies in e-governance; metaverse and marketing. Volume II: Emerging technologies adoption; general IT adoption; healthcare IT adoption. Volume III: Industry 4.0; transfer, diffusion and adoption of next-generation digital technologies; diffusion and adoption of information technology.
Transfer, Diffusion and Adoption of Next-Generation Digital Technologies
This book constitutes the refereed proceedings of the IFIP WG 8.6 International Working Conference on Transfer and Diffusion of IT, TDIT 2023, which took place in Nagpur, India, in December 2023. The 87 full papers and 23 short papers presented in these proceedings were carefully reviewed and selected from 209 submissions. The papers are organized in the following topical sections: Volume I: Digital technologies (artificial intelligence) adoption; digital platforms and applications; digital technologies in e-governance; metaverse and marketing. Volume II: Emerging technologies adoption; general IT adoption; healthcare IT adoption. Volume III: Industry 4.0; transfer, diffusion and adoption of next-generation digital technologies; diffusion and adoption of information technology.
Practical Aspects of Declarative Languages
This book constitutes the refereed proceedings of the 26th International Conference on Practical Aspects of Declarative Languages, PADL 2024, held in London, UK, during January 17-19, 2024.The 13 full papers included in this book were carefully reviewed and selected from 25 submissions. The accepted papers span a range of topics related to functional and logic programming, including reactive programming, hardware implementations, implementation of marketplaces, query languages, and applications of declarative programming techniques to artificial intelligence and machine learning.
Algorithms and Discrete Applied Mathematics
This book constitutes the refereed proceedings of the 10th International Conference on Algorithms and Discrete Applied Mathematics, CALDAM 2024, held in Bhilai, India during February 15-17, 2024. The 22 full papers included in this book were carefully reviewed and selected from 57 submissions. They were organized in topical sections as follows: Algorithms and Complexity; Computational Geometry; Discrete Applied Mathematics; Graph Algorithms; Graph Theory.
Large-Scale Data Analytics with Python and Spark
Based on the authors' extensive teaching experience, this hands-on graduate-level textbook teaches how to carry out large-scale data analytics and design machine learning solutions for big data. With a focus on fundamentals, this extensively class-tested textbook walks students through key principles and paradigms for working with large-scale data, frameworks for large-scale data analytics (Hadoop, Spark), and explains how to implement machine learning to exploit big data. It is unique in covering the principles that aspiring data scientists need to know, without detail that can overwhelm. Real-world examples, hands-on coding exercises and labs combine with exceptionally clear explanations to maximize student engagement. Well-defined learning objectives, exercises with online solutions for instructors, lecture slides, and an accompanying suite of lab exercises of increasing difficulty in Jupyter Notebooks offer a coherent and convenient teaching package. An ideal teaching resource for courses on large-scale data analytics with machine learning in computer/data science departments.
Volunteered Geographic Information
This open access book includes methods for retrieval, semantic representation, and analysis of Volunteered Geographic Information (VGI), geovisualization and user interactions related to VGI, and discusses selected topics in active participation, social context, and privacy awareness. It presents the results of the DFG-funded priority program "VGI: Interpretation, Visualization, and Social Computing" (2016-2023).The book includes three parts representing the principal research pillars within the program. Part I "Representation and Analysis of VGI" discusses recent approaches to enhance the representation and analysis of VGI. It includes semantic representation of VGI data in knowledge graphs; machine-learning approaches to VGI mining, completion, and enrichment as well as to the improvement of data quality and fitness for purpose. Part II "Geovisualization and User Interactions related to VGI" book explores geovisualizations and user interactions supporting the analysis and presentation of VGI data. When designing these visualizations and user interactions, the specific properties of VGI data, the knowledge and abilities of different target users, and technical viability of solutions need to be considered. Part III "Active Participation, Social Context and Privacy Awareness" of the book addresses the human impact associated with VGI. It includes chapters on the use of wearable sensors worn by volunteers to record their exposure to environmental stressors on their daily journeys, on the collective behavior of people using location-based social media and movement data from football matches, and on the motivation of volunteers who provide important support in information gathering, filtering and analysis of social media in disaster situations.The book is of interest to researchers and advanced professionals in geoinformation, cartography, visual analytics, data science and machine learning.
Data Science and Machine Learning
This book constitutes the proceedings of the 21st Australasian Conference on Data Science and Machine Learning, AusDM 2023, held in Auckland, New Zealand, during December 11-13, 2023.The 20 full papers presented in this book were carefully reviewed and selected from 50 submissions. The papers are organized in the following topical sections: research track and application track. They deal with topics around data science and machine learning in everyday life.
