Business Data Analytics
This beginner-friendly textbook on data analytics is designed to quickly immerse readers in the world of Python programming and its applications in data analysis. While we assume a basic familiarity with programming languages, relational databases, and statistics, the book caters to learners of all backgrounds.The main focus of the book is to equip data analysts with essential knowledge and skills, guiding them through Python fundamentals and gradually delving into advanced topics like time series and regression analysis. A special emphasis is placed on the practical implementation of concepts using the powerful Python library, Pandas.Throughout the book, we utilize simple datasets in most chapters, allowing readers to grasp the inner workings of tools and techniques. However, in the final chapter, we present real-world datasets to expose learners to the challenges and complexities of actual data scenarios, encouraging further skill development and problem-solving abilities.Key topics covered include Python syntax, data loading, cleaning, preparation, aggregation, visualization, time series analysis, and regressions. Our teaching philosophy revolves around active learning, and to facilitate this, we provide numerous code examples for readers to practice. Additionally, the book includes a comprehensive set of 669 review questions that encompass both conceptual understanding and coding proficiency.By the end of this journey, readers will have gained a solid foundation in data analytics and Python, empowering them to apply their newfound knowledge to real-world challenges with confidence.
Human Aspects of Information Security and Assurance
This book constitutes the proceedings of the 16th IFIP WG 11.12 International Symposium on Human Aspects of Information Security and Assurance, HAISA 2022, held in Mytilene, Lesbos, Greece, in July 2022. The 25 papers presented in this volume were carefully reviewed and selected from 30 submissions. They are organized in the following topical sections: cyber security education and training; cyber security culture; privacy; and cyber security management.
Computational Intelligence in Data Science
This book constitutes the proceedings of the 6th IFIP TC 12 International Conference on Computational Intelligence in Data Science, ICCIDS 2023, which took place in Kalavakkam, India, in February 2023.The 24 full papers presented in this volume were carefully reviewed and selected from 134 submissions. The major theme of the conference was intended to be computation intelligence and knowledge management. Various emerging areas like IoT, cyber security and data science need computation intelligence to align with the cutting-edge research. Machine learning delivers insights hidden in data for rapid, automated responses and improved decision making. Machine learning for IoT can be used to project future trends, detect anomalies, and augment intelligence by ingesting image, video, and audio.
AI & Data Literacy
Learn the key skills and capabilities that empower Citizens of Data Science to not only survive but thrive in an AI-dominated world.Purchase of the print or Kindle book includes a free PDF eBookKey Features: Prepare for a future dominated by AI and big dataEnhance your AI and data literacy with real-world examplesLearn how to leverage AI and data to address current and future challengesBook Description: AI is undoubtedly a game-changing tool with immense potential to improve human life.This book aims to empower you as a Citizen of Data Science, covering the privacy, ethics, and theoretical concepts you'll need to exploit to thrive amid the current and future developments in the AI landscape.We'll explore AI's inner workings, user intent, and the critical role of the AI utility function while also briefly touching on statistics and prediction to build decision models that leverage AI and data for highly informed, more accurate, and less risky decisions.Additionally, we'll discuss how organizations of all sizes can leverage AI and data to engineer or create value. We'll establish why the economies of learning are more powerful than the economies of scale in a digital-centric world. Ethics and personal/organizational empowerment in the context of AI will also be addressed.Lastly, we'll delve into ChatGPT and the role of Large Language Models (LLMs), preparing you for the growing importance of Generative AI. By the end of the book, you'll have a deeper understanding of AI and the knowledge of how best to leverage it and thrive alongside it.What You Will Learn: Get to know the fundamentals of data literacy, privacy, and analyticsFind out what makes AI tick and the role of the AI utility functionMake informed decisions using prominent decision-making frameworksUnderstand relevant statistics and probability conceptsCreate new sources of value by leveraging and applying AI and dataApply ethical parameters to AI development with real-world examplesFind out how to get the most out of ChatGPT and its peersWho this book is for: This book is for anyone looking to navigate an AI-driven future and make the most of the emerging technologies that have begun changing every industry without exception. Whether you're looking to expand your career prospects, find opportunities in your industry, future-proof your organization, or simply need guidance to keep up with the rapid progress, this book will help you gain a better understanding of AI and data for years to come.
A Guide to Hi-Fi and Audio Recording
On a learning curve when setting up or upgrading your Home Entertainment AVR and/or Hi-Fi system, and/or Sudio Recording system? When trying to work out the why, the what, the how of acoustics, audio devices and setup options? I answer these questions by integrating all the parts into one holistic system. Once you see the system, you will be able to think your way through how you want to do things. This book is to help you understand the system, so you can discover your own remarkable listening and production experiences. I include DIY acoustic treatment instruction, a reasonable budget approach, yet not sacrificing the aim of emotional connection to audio, nor the ability to record and produce professional level audio. Practically written, focussing on modern methods and technologies as they are in 2024: home recording setups, lounge listening options, mobile options, online integration, home entertainment, and software.
Visualization
Are you currently seeking to actualize your aspirations? Would you be interested in a guaranteed method to fulfill all of your aspirations? Do you find yourself fatigued by the repetition of success narratives detailing the accomplishments attained through visualization, and yearn to personally experiment with this technique?Hence, the experienced and knowledgeable senior strategy consultant, Sam Schreim, has compiled years of expertise and profound understanding within the pages of his book, "Storytelling with Charts: A Data & Text Visualization Guide for Business, Professionals and Non-Professionals". This comprehensive guide offers step-by-step instructions on effectively utilizing the influence of compelling narratives and psychological methods to craft enthralling data stories.This book will empower you to achieve the desired results you have always aspired to, by providing a concise compilation of proven strategies that will enable you to excel in various aspects of your life. The principles delineated in this book can be effectively employed across various facets of your existence, encompassing interpersonal connections, financial matters, vocational endeavors, personal interests, and professional aspirations."
Visualization
If you are inclined to do so, this book would prove to be highly instrumental in aiding you to commence your expedition of creative visualization. This book aims to enhance your comprehension of creative visualization while providing a comprehensive range of remarkable visualization techniques. By diligently practicing these methods, you can bolster your ability to envision and subsequently manifest your aspirations.The acquisition of creative visualization skills is imperative for individuals aspiring to attain the long-desired objectives that have eluded them thus far. This guide will provide comprehensive insight into the concept of creative visualization and the potential it holds for facilitating profound positive transformations in one's life, leading to the realization of a more gratifying existence characterized by greater purpose and significance.Through the acquisition of this book and meticulous perusal of its contents, you shall be positioned to accurately conceive and perceive enduring transformations. With these visualization methodologies, you will surpass all prior accomplishments, bearing witness to the realization of robust and positive modifications in your life.
Visualization
To be completely accurate, it has been scientifically substantiated that the practice of visualization or creative visualization can exert a significant influence on an individual's life, effectively aiding individuals in bringing their aspirations into fruition. That being stated, the content presented in this concise publication encompasses tried-and-tested approaches that have assisted individuals similar to yourself in crafting a life that embodies their aspirations, ultimately leading to a sense of achievement and contentment.By engaging in extensive literature consumption and experimenting with various approaches, I have acquired a profound understanding of existence, truth, and the fundamental principles governing the cosmos. Certain ones exhibit satisfactory performance but necessitate significant time allocation. Others appear to be ineffective until the passage of a significant amount of time, at which point I reflect upon the manner in which my life has manifested itself according to the visions I held previously. This is impressive, but I am curious about expediting the process for myself.Within the pages of this book, a plethora of efficacious methodologies await you, enabling the effective utilization of the subconscious mind through the potent tool of visualization. Recent research in neuroscience indicates that cognitive processes generate internal directives that subsequently manifest as physical behavior. You shall acquire the knowledge of visualization techniques and adeptly harness your creative abilities. Everything you desire resides within the depths of your being. One must acquire the skill to modify their own programming, and upon mastering the utilization of visualization, one shall have the ability to manifest their aspirations.
Data Warehouse Systems
With this textbook, Vaisman and Zim獺nyi deliver excellent coverage of data warehousing and business intelligence technologies ranging from the most basic principles to recent findings and applications. To this end, their work is structured into three parts. Part I describes "Fundamental Concepts" including conceptual and logical data warehouse design, as well as querying using MDX, DAX and SQL/OLAP. This part also covers data analytics using Power BI and Analysis Services. Part II details "Implementation and Deployment," including physical design, ETL and data warehouse design methodologies. Part III covers "Advanced Topics" and it is almost completely new in this second edition. This part includes chapters with an in-depth coverage of temporal, spatial, and mobility data warehousing. Graph data warehouses are also covered in detail using Neo4j. The last chapter extensively studies big data management and the usage of Hadoop, Spark, distributed, in-memory, columnar, NoSQL and NewSQLdatabase systems, and data lakes in the context of analytical data processing. As a key characteristic of the book, most of the topics are presented and illustrated using application tools. Specifically, a case study based on the well-known Northwind database illustrates how the concepts presented in the book can be implemented using Microsoft Analysis Services and Power BI. All chapters have been revised and updated to the latest versions of the software tools used. KPIs and Dashboards are now also developed using DAX and Power BI, and the chapter on ETL has been expanded with the implementation of ETL processes in PostgreSQL. Review questions and exercises complement each chapter to support comprehensive student learning. Supplemental material to assist instructors using this book as a course text is available online and includes electronic versions of the figures, solutions to all exercises, and a set of slides accompanying each chapter. Overall, students, practitioners and researchers alike will find this book the most comprehensive reference work on data warehouses, with key topics described in a clear and educational style. "I can only invite you to dive into the contents of the book, feeling certain that once you have completed its reading (or maybe, targeted parts of it), you will join me in expressing our gratitude to Alejandro and Esteban, for providing such a comprehensive textbook for the field of data warehousing in the first place, and for keeping it up to date with the recent developments, in this current second edition."From the foreword by Panos Vassiliadis, University of Ioannina, Greece.
Experimental IR Meets Multilinguality, Multimodality, and Interaction
This volume LNCS 14163 constitutes the refereed proceedings of 14th International Conference of the CLEF Association, CLEF 2023, in Thessaloniki, Greece, during September 18-21, 2023. The 10 full papers and one short paper included in this book were carefully reviewed and selected from 35 submissions. The conference focuses on authorship attribution, fake news detection and news tracking, noise-detection in automatically transferred relevance judgments, impact of online education on children's conversational search behavior, analysis of multi-modal social media content, knowledge graphs for sensitivity identification, a fusion of deep learning and logic rules for sentiment analysis, medical concept normalization and domain-specific information extraction.In addition to this, the volume presents 7 "Best of the labs" papers which were reviewed as full paper submissions with the same review criteria. 13 lab overview papers were accepted and represent scientific challenges based on new datasets and real world problems in multimodal and multilingual information access.
Data Curious
Data has been a missing part of most academic curriculums for a long time, and we're all being affected. During challenging times, creating a data-informed culture can help you pivot quickly or prevent expensive missteps. Developing a data curious organization will take advantage of the burgeoning data resources available as a result of increasing digitalization. With this book, author Carl Allchin shows today's business professionals how to become data empowered. These tech-savvy business professionals will learn data literacy fundamentals--from understanding the possibilities to asking the right questions. You'll discover how to make the right technology choices and avoid pitfalls that could put your career and company at risk. Discover what an agile, empowered, data-driven organization should look like Examine how to use data in new ways to help your business come to life Learn key terms and concepts around data management and analytics Understand the differences between spreadsheet analysis and a data analytics pipeline Get advice for working with data scientists and explore ways to mitigate the IT department's concerns
Dashboard Design
This book describes ways to design and implement dashboards based on the programming language Python, the graphics library Plotly, and Dash.
Graph Transformation
This book constitutes the refereed proceedings of the 16th International Conference on Graph Transformation, ICGT 2023, held as Part of STAF 2023 in Leicester, UK, in July 2023. The 14 full papers and 2 short papers presented in this book were carefully reviewed and selected from 29 submissions. The conference focuses on describing new unpublished contributions in the theory and applications of graph transformation as well as tool presentation papers that demonstrate main new features and functionalities of graph-based tools.
Risk Analytics
Organizations and institutions are looking for implementing data-driven decision-making processes, business process improvement and methods for advancing faster in innovation. This book is about implementing the analytics process to develop a risk management practice that creates competitive advantages under uncertainty.
Cost-Effective Data Pipelines
The low cost of getting started with cloud services can easily evolve into a significant expense down the road. That's challenging for teams developing data pipelines, particularly when rapid changes in technology and workload require a constant cycle of redesign. How do you deliver scalable, highly available products while keeping costs in check? With this practical guide, author Sev Leonard provides a holistic approach to designing scalable data pipelines in the cloud. Intermediate data engineers, software developers, and architects will learn how to navigate cost/performance trade-offs and how to choose and configure compute and storage. You'll also pick up best practices for code development, testing, and monitoring. By focusing on the entire design process, you'll be able to deliver cost-effective, high-quality products. This book helps you: Reduce cloud spend with lower cost cloud service offerings and smart design strategies Minimize waste without sacrificing performance by rightsizing compute resources Drive pipeline evolution, head off performance issues, and quickly debug with effective monitoring Set up development and test environments that minimize cloud service dependencies Create data pipeline code bases that are testable and extensible, fostering rapid development and evolution Improve data quality and pipeline operation through validation and testing
Quantum Computing
QUANTUM COMPUTING A helpful introduction to all aspects of quantum computing Quantum computing is a field combining quantum mechanics--the physical science of nature at the scale of atoms and subatomic particles--and information science. Where ordinary computing uses bits, logical values whose position can either be 0 or 1, quantum computing is built around qubits, a fundamental unit of quantum information which can exist in a superposition of both states. As quantum computers are able to complete certain kinds of functions more accurately and efficiently than computers built on classical binary logic, quantum computing is an emerging frontier which promises to revolutionize information science and its applications. This book provides a concise, accessible introduction to quantum computing. It begins by introducing the essentials of quantum mechanics that information and computer scientists require, before moving to detailed discussions of quantum computing in theory and practice. As quantum computing becomes an ever-greater part of the global information technology landscape, the knowledge in Quantum Computing will position readers to join a vital and highly marketable field of research and development. The book's readers will also find: Detailed diagrams and illustrations throughout A broadly applicable quantum algorithm that improves on the best-known classical algorithms for a wide range of problems In-depth discussion of essential topics including key distribution, cluster state quantum computing, superconducting qubits, and more Quantum Computing is perfect for advanced undergraduate and graduate students in computer science, engineering, mathematics, or the physical sciences, as well as for researchers and academics at the intersection of these fields who want a concise reference.
Business Intelligence
This book constitutes the refereed proceedings of the 8th International Conference on Business Intelligence, CBI 2023, which held in Istanbul, Turkey, during July 19-21, 2023.The 15 full papers included in this book were carefully reviewed and selected from 50 submissions. They were organized in topical sections as follows: artificial intelligence and business intelligence; and optimization and decision support.
Drawing Data with Kids
Drawing Data with Kids is the perfect companion for a summer full of creativity, learning, and fun. Join Pariza and her dad on a captivating adventure that combines the world of art with the fascinating realm of data visualization.In this interactive book, children aged 7-14 will embark on a screen-free journey, discovering the magic of data through hands-on drawing exercises. Here's what makes Drawing Data with Kids a must-have for parents and teachers: Engaging Storytelling: Follow Pariza's journey as she explores different types of graphs, charts, and visualizations, bringing data to life through captivating illustrations and relatable narratives.Artistic Exploration: Encourage your child's creativity as they apply data concepts to their own drawings, turning abstract numbers and figures into vibrant visual representations.Critical Thinking Skills: Foster your child's analytical thinking and problem-solving abilities as they make sense of data, analyze information, and draw meaningful conclusions.Data Literacy Made Fun: From bar graphs to pie charts, scatter plots to line graphs, each chapter introduces a new concept in an engaging and easy-to-understand way, empowering kids to understand and communicate data effectively.Screen-Free Summer: Provide a break from screens and technology while keeping your child engaged with interactive activities that stimulate their imagination and learning.Whether you're a parent, teacher, or caregiver, Drawing Data with Kids is a valuable resource that combines art, creativity, and data literacy to empower children with essential skills for the digital age.Make this summer a memorable one by immersing your child in the colorful world of data through the power of drawing. Grab your copy of Drawing Data with Kids today and embark on a summer adventure that sparks curiosity, creativity, and a love for learning!
Database Performance at Scale
Discover critical considerations and best practices for improving database performance based on what has worked, and failed, across thousands of teams and use cases in the field. This open access book provides practical guidance for understanding the database-related opportunities, trade-offs, and traps you might encounter while trying to optimize data-intensive applications for high throughput and low latency. Whether you are building a new system from the ground up or trying to optimize an existing use case for increased demand, this book covers the essentials.The book begins with a look at the many factors impacting database performance at the extreme scale that today's game changing applications face--or at least hope to achieve. You'll gain insight into the performance impact of both technical and business requirements, and how those should influence your decisions around database infrastructure and topology. The authors share an inside perspective on often-overlooked engineering details that could be constraining--or helping--your team's database performance. The book also covers benchmarking and monitoring practices by which to measure and validate the outcomes from the decisions that you make.The ultimate goal of the book is to help you discover new ways to optimize database performance for your team's specific use cases, requirements, and expectations.What You Will LearnUnderstand often overlooked factors that impact database performance at scaleRecognize data-related performance and scalability challenges associated with your project Select a database architecture that's suited to your workloads, use cases, and requirementsAvoid common mistakes that could impede your long-term agility and growthJumpstart teamwide adoption of best practices for optimizing database performance at scaleWho ThisBook Is ForIndividuals and teams looking to optimize distributed database performance for an existing project or to begin a new performance-sensitive project with a solid and scalable foundation. This will likely include software architects, database architects, and senior software engineers who are either experiencing or anticipating pain related to database latency and/or throughput.
Reproducible Research in Pattern Recognition
This book constitutes the thoroughly refereed post-workshop proceedings of the 4th International Workshop on Reproducible Research in Pattern Recognition, RRPR 2022, held in Montreal, Canada, in August 2022. The 5 revised full papers presented together with 4 short papers, were carefully reviewed and selected from 9 submissions. The papers were organized into three main categories
Smart Cities, Green Technologies, and Intelligent Transport Systems
This book constitutes the refereed post-conference proceedings of the 11th International Conference on Smart Cities and Green ICT Systems and 8th International Conference on Vehicle Technology and Intelligent Transport Systems, SMARTGREENS 2022 and VEHITS 2022 was held Virtually on April 27-29, 2022.The 7 full papers included in this book were carefully reviewed and selected from 80 submissions. They were organized in topical sections as follows: ​smart cities and green ICT systems and vehicle technology and intelligent transport systems.
Innovative Intelligent Industrial Production and Logistics
This volume includes extended and revised versions of a set of selected papers from the First International Conference on Innovative Intelligent Industrial Production and Logistics, IN4PL 2020, held as virtual event in November 4-6, 2020 and Second International Conference on Innovative Intelligent Industrial Production and Logistics, IN4PL 2021, held as virtual event in October 25-27, 2021.The 9 full papers included in this book were carefully reviewed and selected from 44 submissions. They were organized in topical sections as follows: ​on kernel search based gaussian process anomaly detection; general architecture framework and general modelling framework.
Machine Learning for Networking
This book constitutes the post-conference proceedings of the 5th International Conference on Machine Learning for Networking, MLN 2022, held in Paris, France, November 28-30, 2022. The 12 full papers presented in this book were carefully reviewed and selected from 27 submissions. The papers present novel ideas, results, experiences and work-in-process on all aspects of Machine Learning and Networking.
Subject-Oriented Business Process Management. Models for Designing Digital Transformations
This book constitutes the refereed proceedings of the 14th International Conference on Subject-Oriented Business Process Management, S-BPM ONE 2023, held in Rostock, Germany, during May 31-June 1, 2023.The 10 full papers and 9 short papers included in this book were carefully reviewed and selected from 24 submissions. They were organized in topical sections as follows: management issues and people; development and requirements; modeling, technology and infrastructure.
Pro T-SQL 2022
Learn how to write and design simple and efficient T-SQL code. This is a hands-on book that teaches you how to write better T-SQL with examples and straightforward explanations. New in this edition is coverage of Parameter Sensitive Plan (PSP) optimization, Azure Synapse Link for real-time analytics, integration with S3-compatible object storage, and SQL Ledger tables based on blockchain. You'll learn to improve your T-SQL design in ways that provide faster performance, stronger security, and easier comprehension. The book identifies common anti-patterns in writing T-SQL and instructs you on how to change your code so you can be more confident in writing T-SQL code that is reliable and performs well.Pro T-SQL 2022 is focused on the problems that developers are faced with and must solve in delivering successful applications. The content begins from a foundation of writing T-SQL that is clear and understandable. The book then takes youthrough writing SQL that performs well, is easy to manage through coding standards and version control, can be maintained and modified as business requirements change over time, scales as your business grows, and takes advantage of the full range of security features built into the SQL Server and Azure SQL database engines. What You Will LearnChoose the correct data types and database objects when designing your T-SQLWrite T-SQL that accesses your data efficiently and uses hardware effectivelyImplement source control and testing methods to streamline your deployment process.Design T-SQL that is flexible and can be enhanced or modified with little effortPlan for long-term data management, including growth and purging of older dataEnhance database security through features such as encryption, data masking, row-level security, and the SQL Ledger blockchain table type Who This Book Is ForDatabase developers who want to improve the efficiency of their applications with better T-SQL; developers who want to know more about T-SQL so they can be prepared to solve complex problems more easily; data professionals who want to write high-quality T-SQL that performs well, is flexible to changing needs, and is easy for others to understand
Exploratory Data Analysis with Python Cookbook
Extract valuable insights from data by leveraging various analysis and visualization techniques with this comprehensive guide Purchase of the print or Kindle book includes a free PDF eBookKey Features: - Gain practical experience in conducting EDA on a single variable of interest in Python- Learn the different techniques for analyzing and exploring tabular, time series, and textual data in Python- Get well versed in data visualization using leading Python libraries like Matplotlib and seabornBook Description: In today's data-centric world, the ability to extract meaningful insights from vast amounts of data has become a valuable skill across industries. Exploratory Data Analysis (EDA) lies at the heart of this process, enabling us to comprehend, visualize, and derive valuable insights from various forms of data.This book is a comprehensive guide to Exploratory Data Analysis using the Python programming language. It provides practical steps needed to effectively explore, analyze, and visualize structured and unstructured data. It offers hands-on guidance and code for concepts such as generating summary statistics, analyzing single and multiple variables, visualizing data, analyzing text data, handling outliers, handling missing values and automating the EDA process. It is suited for data scientists, data analysts, researchers or curious learners looking to gain essential knowledge and practical steps for analyzing vast amounts of data to uncover insights.Python is an open-source general purpose programming language which is used widely for data science and data analysis given its simplicity and versatility. It offers several libraries which can be used to clean, analyze, and visualize data. In this book, we will explore popular Python libraries such as Pandas, Matplotlib, and Seaborn and provide workable code for analyzing data in Python using these libraries.By the end of this book, you will have gained comprehensive knowledge about EDA and mastered the powerful set of EDA techniques and tools required for analyzing both structured and unstructured data to derive valuable insights.What You Will Learn: - Perform EDA with leading python data visualization libraries- Execute univariate, bivariate and multivariate analysis on tabular data- Uncover patterns and relationships within time series data- Identify hidden patterns within textual data- Learn different techniques to prepare data for analysis- Overcome challenge of outliers and missing values during data analysis- Leverage automated EDA for fast and efficient analysisWho this book is for: Whether you are a data analyst, data scientist, researcher or a curious learner looking to analyze structured and unstructured data, this book will appeal to you. It aims to empower you with essential knowledge and practical skills for analyzing and visualizing data to uncover insights.It covers several EDA concepts and provides hands-on instructions on how these can be applied using various Python libraries. Familiarity with basic statistical concepts and foundational knowledge of python programming will help you understand the content better and maximize your learning experience.Table of Contents- Generating Summary Statistics- Preparing Data for EDA- Visualising Data in Python- Performing Univariate Analysis in Python- Performing Bivariate analysis in Python- Performing Multivariate analysis in Python- Analysing Time Series data- Analysing Text data- Dealing with Outliers and Missing values- Performing Automated EDA in Python
Driving Data Quality with Data Contracts
Everything you need to know to apply data contracts and build a truly data-driven organization that harnesses quality data to deliver tangible business valuePurchase of the print or Kindle book includes a free PDF eBook.Key Features: Understand data contracts and their power to resolving the problems in contemporary data platformsLearn how to design and implement a cutting-edge data platform powered by data contractsAccess practical guidance from the pioneer of data contracts to get expert insights on effective utilizationBook Description: Despite the passage of time and the evolution of technology and architecture, the challenges we face in building data platforms persist. Our data often remains unreliable, lacks trust, and fails to deliver the promised value.With Driving Data Quality with Data Contracts, you'll discover the potential of data contracts to transform how you build your data platforms, finally overcoming these enduring problems. You'll learn how establishing contracts as the interface allows you to explicitly assign responsibility and accountability of the data to those who know it best-the data generators-and give them the autonomy to generate and manage data as required. The book will show you how data contracts ensure that consumers get quality data with clearly defined expectations, enabling them to build on that data with confidence to deliver valuable analytics, performant ML models, and trusted data-driven products.By the end of this book, you'll have gained a comprehensive understanding of how data contracts can revolutionize your organization's data culture and provide a competitive advantage by unlocking the real value within your data.What You Will Learn: Gain insights into the intricacies and shortcomings of today's data architecturesUnderstand exactly how data contracts can solve prevalent data challengesDrive a fundamental transformation of your data culture by implementing data contractsDiscover what goes into a data contract and why it's importantDesign a modern data architecture that leverages the power of data contractsExplore sample implementations to get practical knowledge of using data contractsEmbrace best practices for the successful deployment of data contractsWho this book is for: If you're a data engineer, data leader, architect, or practitioner thinking about your data architecture and looking to design one that enables your organization to get the most value from your data, this book is for you. Additionally, staff engineers, product managers, and software engineering leaders and executives will also find valuable insights.
Geospatial Data Analytics on AWS
Build an end-to-end geospatial data lake in AWS using popular AWS services such as RDS, Redshift, DynamoDB, and Athena to manage geodata Purchase of the print or Kindle book includes a free PDF eBook.Key Features: Explore the architecture and different use cases to build and manage geospatial data lakes in AWSDiscover how to leverage AWS purpose-built databases to store and analyze geospatial dataLearn how to recognize which anti-patterns to avoid when managing geospatial data in the cloudBook Description: Managing geospatial data and building location-based applications in the cloud can be a daunting task. This comprehensive guide helps you overcome this challenge by presenting the concept of working with geospatial data in the cloud in an easy-to-understand way, along with teaching you how to design and build data lake architecture in AWS for geospatial data.You'll begin by exploring the use of AWS databases like Redshift and Aurora PostgreSQL for storing and analyzing geospatial data. Next, you'll leverage services such as DynamoDB and Athena, which offer powerful built-in geospatial functions for indexing and querying geospatial data. The book is filled with practical examples to illustrate the benefits of managing geospatial data in the cloud. As you advance, you'll discover how to analyze and visualize data using Python and R, and utilize QuickSight to share derived insights. The concluding chapters explore the integration of commonly used platforms like Open Data on AWS, OpenStreetMap, and ArcGIS with AWS to enable you to optimize efficiency and provide a supportive community for continuous learning.By the end of this book, you'll have the necessary tools and expertise to build and manage your own geospatial data lake on AWS, along with the knowledge needed to tackle geospatial data management challenges and make the most of AWS services.What You Will Learn: Discover how to optimize the cloud to store your geospatial dataExplore management strategies for your data repository using AWS Single Sign-On and IAMCreate effective SQL queries against your geospatial data using AthenaValidate postal addresses using Amazon Location servicesProcess structured and unstructured geospatial data efficiently using RUse Amazon SageMaker to enable machine learning features in your applicationExplore the free and subscription satellite imagery data available for use in your GISWho this book is for: If you understand the importance of accurate coordinates, but not necessarily the cloud, then this book is for you. This book is best suited for GIS developers, GIS analysts, data analysts, and data scientists looking to enhance their solutions with geospatial data for cloud-centric applications. A basic understanding of geographic concepts is suggested, but no experience with the cloud is necessary for understanding the concepts in this book.
Business Intelligence and Big Data
The book provides a theoretically and empirically grounded discussion how to design and use business intelligence (BI) and Big Data (BD) to benefit organizations. It examines the conceptualization of BI and BD, applications of BI and BD, BI and BD maturity, and factors of BI- and BD-based success, as well as presents an application framework.
Leveling Up with SQL
Learn to write SQL queries to select and analyze data, and improve your ability to manipulate data. This book will help you take your existing skills to the next level. Author Mark Simon kicks things off with a quick review of basic SQL knowledge, followed by a demonstration of how efficient SQL databases are designed and how to extract just the right data from them. You'll then learn about each individual table's structure and how to work with the relationships between tables. As you progress through the book, you will learn more sophisticated techniques such as using common table expressions and subqueries, analyzing your data using aggregate and windowing functions, and how to save queries in the form of views and other methods. This book employs an accessible approach to work through a realistic sample, enabling you to learn concepts as they arise to improve parts of the database or to work with the data itself. After completing this book, you will have a more thorough understanding of database structure and how to use advanced techniques to extract, manage, and analyze data. What Will You Learn Gain a stronger understanding of database design principles, especially individual tablesUnderstand the relationships between tablesUtilize techniques such as views, subqueries, common table expressions, and windowing functions Who Is This Book For: SQL Databases users who want to improve their knowledge and techniques.
Frontiers of Algorithmics
This book constitutes the refereed proceedings of the 17th International Joint Conference on Theoretical Computer Science-Frontier of Algorithmic Wisdom (IJTCS-FAW 2023), consisting of the 17th International Conference on Frontier of Algorithmic Wisdom (FAW) and the 4th International Joint Conference on Theoretical Computer Science (IJTCS), held in Macau, China, during August 14-18, 2023.FAW started as the Frontiers of Algorithmic Workshop in 2007 at Lanzhou, China, and was held annually from 2007 to 2021 and published archival proceedings. IJTCS, the International joint theoretical Computer Science Conference, started in 2020, aimed to bring in presentations covering active topics in selected tracks in theoretical computer science. To accommodate the diversified new research directions in theoretical computer science, FAW and IJTCS joined their forces together to organize an event for information exchange of new findings and work of enduring value in the field. The 21 full papers included in this book were carefully reviewed and selected from 34 submissions. They were organized in topical sections as follows: algorithmic game theory; algorithms and data structures; combinatorial optimization; and computational economics.
South African Institute of Computer Scientists and Information Technologists
This book contains a selection of the best papers of the 44th Annual Conference, SAICSIT 2023, held in Pretoria, South Africa, in July 2023.The 18 papers presented in this volume were carefully reviewed and selected from 54 regular submissions. They adress various aspects of the role of computer science in connectivity, information systems for connectivity, connecting society and emerging technologies for connectivity
Real Estate Market of Ukraine
This book shows examples of basic approaches in real estate market analysis. Of value is the method of modeling the most attractive location of real estate, which is illustrated by a specific example. The authors give examples of real estate market research using GIS. The book analyzes the trends and prospects of real estate market development both in the pre-war and in the post-war period in Ukraine. It provides factors, trends, and development of the real estate market-directed investments. This book is useful to investors, real estate appraisers, real estate market researchers, GIS specialists, developers, researchers, graduate students, and students.
Graph Data Modeling in Python
Learn how to transform, store, evolve, refactor, model, and create graph projections using the Python programming languagePurchase of the print or Kindle book includes a free PDF eBookKey Features: Transform relational data models into graph data model while learning key applications along the wayDiscover common challenges in graph modeling and analysis, and learn how to overcome themPractice real-world use cases of community detection, knowledge graph, and recommendation networkBook Description: Graphs have become increasingly integral to powering the products and services we use in our daily lives, driving social media, online shopping recommendations, and even fraud detection. With this book, you'll see how a good graph data model can help enhance efficiency and unlock hidden insights through complex network analysis.Graph Data Modeling in Python will guide you through designing, implementing, and harnessing a variety of graph data models using the popular open source Python libraries NetworkX and igraph. Following practical use cases and examples, you'll find out how to design optimal graph models capable of supporting a wide range of queries and features. Moreover, you'll seamlessly transition from traditional relational databases and tabular data to the dynamic world of graph data structures that allow powerful, path-based analyses. As well as learning how to manage a persistent graph database using Neo4j, you'll also get to grips with adapting your network model to evolving data requirements.By the end of this book, you'll be able to transform tabular data into powerful graph data models. In essence, you'll build your knowledge from beginner to advanced-level practitioner in no time.What You Will Learn: Design graph data models and master schema design best practicesWork with the NetworkX and igraph frameworks in PythonStore, query, ingest, and refactor graph dataStore your graphs in memory with Neo4jBuild and work with projections and put them into practiceRefactor schemas and learn tactics for managing an evolved graph data modelWho this book is for: If you are a data analyst or database developer interested in learning graph databases and how to curate and extract data from them, this is the book for you. It is also beneficial for data scientists and Python developers looking to get started with graph data modeling. Although knowledge of Python is assumed, no prior experience in graph data modeling theory and techniques is required.
How to Make Things Faster
Slow systems are frustrating. They waste time and money. But making consistently great decisions about performance can be easy, if you understand what's going on. This book explains in a clear and thoughtful voice why systems perform the way they do. It's for anybody who's curious about how computer programs and other processes use their time and about what you can do to improve them. Through a mix of personal vignettes and technical use cases, Cary Millsap reviews the process of improving performance and provides best practices for optimizing systems efficiently. You'll learn how to identify the information needed to improve a system, how to find the root causes of performance issues, and how to fix them. You'll also learn how performance optimization is both a skill set and a mindset, and how to develop both over time. If you're a computer professional whose success relies on software that goes fast, by the end of this book you'll be able to identify, view, scope, analyze, and remedy performance issues with consistency and confidence.
Geometric Science of Information
This book constitutes the proceedings of the 6th International Conference on Geometric Science of Information, GSI 2023, held in St. Malo, France, during August 30-September 1, 2023. The 125 full papers presented in this volume were carefully reviewed and selected from 161 submissions. They cover all the main topics and highlights in the domain of geometric science of information, including information geometry manifolds of structured data/information and their advanced applications. The papers are organized in the following topics: geometry and machine learning; divergences and computational information geometry; statistics, topology and shape spaces; geometry and mechanics; geometry, learning dynamics and thermodynamics; quantum information geometry; geometry and biological structures; geometry and applications.
Geometric Science of Information
This book constitutes the proceedings of the 6th International Conference on Geometric Science of Information, GSI 2023, held in St. Malo, France, during August 30-September 1, 2023. The 125 full papers presented in this volume were carefully reviewed and selected from 161 submissions. They cover all the main topics and highlights in the domain of geometric science of information, including information geometry manifolds of structured data/information and their advanced applications. The papers are organized in the following topics: geometry and machine learning; divergences and computational information geometry; statistics, topology and shape spaces; geometry and mechanics; geometry, learning dynamics and thermodynamics; quantum information geometry; geometry and biological structures; geometry and applications.
From Distributed Quantum Computing to Quantum Internet Computing
From Distributed Quantum Computing to Quantum Internet Computing Understand the future of the internet with this accessible guide Quantum computing, which draws upon the principles of quantum mechanics to perform computing functions unrestricted by the binary language of ordinary computing, has developed with extraordinary speed in recent years. Progress in quantum computing and its related technological subfields, including quantum internet, has been rapid enough to suggest that we are living in a "new Quantum Age." To understand the future of the internet, it's now essential to understand the present and future of quantum computing and quantum internet computing. This book provides a groundbreaking overview of this field of technology and its latest developments. It provides readers with a working knowledge of the key topics required to connect quantum computing to the future of distributed computing and the internet, including important issues like quantum protocols, distributed quantum computations, fundamental computations in the quantum internet architecture, and more. The result is an accessible and essential reference for any reader looking to better understand quantum technologies. From Distributed Quantum Computing to Quantum Internet Computing readers will also find: Detailed discussion of topics including qubit states, entanglement, quantum gates, and more. Mathematical background for underlying key concepts. Worked out examples that aim to initiate readers into the emerging area of quantum internet computing. This book is ideal for researchers and graduate students in quantum computing, quantum internet, quantum communications, and related fields, as well as Computer Scientists and Information Technology students and researchers who want an introductory overview to quantum internet computing.
Data Management Technologies and Applications
This book constitutes the refereed post-proceedings of the 10th International Conference and 11th International Conference on Data Management Technologies and Applications, DATA 2021 and DATA 2022, was held virtually due to the COVID-19 crisis on July 6-8, 2021 and in Lisbon, Portugal on July 11-13, 2022.The 11 full papers included in this book were carefully reviewed and selected from 148 submissions. They were organized in topical sections as follows: engineers and practitioners interested on databases, big data, data mining, data management, data security and other aspects of information systems and technology involving advanced applications of data.
R Packages
Turn your R code into packages that others can easily install and use. With this fully updated edition, developers and data scientists will learn how to bundle reusable R functions, sample data, and documentation together by applying the package development philosophy used by the team that maintains the "tidyverse" suite of packages. In the process, you'll learn how to automate common development tasks using a set of R packages, including devtools, usethis, testthat, and roxygen2. Authors Hadley Wickham and Jennifer Bryan from Posit (formerly known as RStudio) help you create packages quickly, then teach you how to get better over time. You'll be able to focus on what you want your package to do as you progressively develop greater mastery of the structure of a package. With this book, you will: Learn the key components of an R package, including code, documentation, and tests Streamline your development process with devtools and the RStudio IDE Get tips on effective habits such as organizing functions into files Get caught up on important new features in the devtools ecosystem Learn about the art and science of unit testing, using features in the third edition of testthat Turn your existing documentation into a beautiful and user friendly website with pkgdown Gain an appreciation of the benefits of modern code hosting platforms, such as GitHub
Drawing Data with Kids
Drawing Data with Kids is the perfect companion for a summer full of creativity, learning, and fun. Join Pariza and her dad on a captivating adventure that combines the world of art with the fascinating realm of data visualization.In this interactive book, children aged 7-14 will embark on a screen-free journey, discovering the magic of data through hands-on drawing exercises. Here's what makes Drawing Data with Kids a must-have for parents and teachers: Engaging Storytelling: Follow Pariza's journey as she explores different types of graphs, charts, and visualizations, bringing data to life through captivating illustrations and relatable narratives.Artistic Exploration: Encourage your child's creativity as they apply data concepts to their own drawings, turning abstract numbers and figures into vibrant visual representations.Critical Thinking Skills: Foster your child's analytical thinking and problem-solving abilities as they make sense of data, analyze information, and draw meaningful conclusions.Data Literacy Made Fun: From bar graphs to pie charts, scatter plots to line graphs, each chapter introduces a new concept in an engaging and easy-to-understand way, empowering kids to understand and communicate data effectively.Screen-Free Summer: Provide a break from screens and technology while keeping your child engaged with interactive activities that stimulate their imagination and learning.Whether you're a parent, teacher, or caregiver, Drawing Data with Kids is a valuable resource that combines art, creativity, and data literacy to empower children with essential skills for the digital age.Make this summer a memorable one by immersing your child in the colorful world of data through the power of drawing. Grab your copy of Drawing Data with Kids today and embark on a summer adventure that sparks curiosity, creativity, and a love for learning!
Microsoft Access
Have you ever seen large arrays of data and doubted if you would ever find a software application for managing such large arrays of information?Are you working in a public or private organization and you are been given a task to manage the organization's database system that has extensive data? Or do you need a proven database software that you can use to manage business records effectively? These and many more questions are the reason for designing the Microsoft Access application for solving various database issues.In this guide, you'll get learn to use Microsoft Access to: Optimize database design for efficiencyCreate Tables to store dataUse templates and get a head startMake queries to extract specific dataProduce intelligible Forms for data entryConstruct informative Reports quicklyImport and export data to Excel and Word...and lots moreThis book teaches you all you need to know for managing a database and utilizing Access 365 features and power solutions to meet your daily need by using step-by-step instructions cited in this book. It shows you the basics of starting with Microsoft Access and trains you to a professional where you can navigate and manage complex databases with ease.
Intelligent Information Systems
This book constitutes the thoroughly refereed proceedings of the CAiSE Forum 2023 which was held in Zaragoza, Spain, in June 2023, as part of the 35th International Conference on Advanced Information Systems Engineering, CAiSE 2023. The CAiSE Forum is a place within the CAiSE conference for presenting and discussing new ideas and tools related to information systems engineering. Intended to serve as an interactive platform, the Forum aims at the presentation of emerging new topics and controversial positions, as well as demonstration of innovative systems, tools and applications. This year's edition of the conference put a special emphasis on the theme of Cyber-Human Systems. A total of 25 papers was sent for peer review. 12 of these papers were invited from CAiSE and 13 have been directly submitted to the Forum. After a careful review and selection, 12 of the invited and 6 of the newly submitted papers have been accepted for publication.
Social Media and Crowdsourcing
The book is a systematic discussion on the many areas employing crowdsourcing as an essential part of social innovation. It fosters theoretical, methodological, well-established and validated empirical work concerning social media and crowdsourcing. Additional focus is on experimental and applied topics.
