Databaser

This book gives a condensed introduction to information systems and their use in companies and organisations. Their role in organisations and how they can contribute to a successful enterprise is explained. The book has a non-technical focus, but introduces fundamental technical concepts and vocabulary, such as computer parts, data storage, databases and networks. The fundamentals of systems development are explained. Attention is also given to ethical aspects of information systems and their role in society. Particularly suitable for introductory courses in business and information systems, the book equips readers with the essential knowledge of information systems required in any modern organisation.The third edition is updated with extended content on emerging topics such as AI. Discussions on privacy, risk, and information sharing have been expanded, and new study questions have been added to support learning.

Data is at the center of many challenges in system design today. Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. In addition, there's an overwhelming variety of tools and analytical systems, including relational databases, NoSQL datastores, plus data warehouses and data lakes. What are the right choices for your application? How do you make sense of all these buzzwords?In this second edition, authors Martin Kleppmann and Chris Riccomini build on the foundation laid in the acclaimed first edition, integrating new technologies and emerging trends. You'll be guided through the maze of decisions and trade-offs involved in building a modern data system, from choosing the right tools like Spark and Flink to understanding the intricacies of data laws like the GDPR.Peer under the hood of the systems you already use, and learn to use them more effectivelyMake informed decisions by identifying the strengths and weaknesses of different toolsNavigate the trade-offs around consistency, scalability, fault tolerance, and complexityUnderstand the distributed systems research upon which modern databases are builtPeek behind the scenes of major online services, and learn from their architectures

Learn how to use ArcGIS Pro with this best-selling, step-by-step workbook and desk reference.   Getting to Know ArcGIS Pro 3.6 explains the basics of how a geographic information system (GIS) works as it teaches readers how to use ArcGIS Pro, the world’s most powerful desktop GIS software.   Readers will follow simple step-by-step instructions, accompanied by more than 300 full-color images, to learn core analytic and mapmaking skills.  Topics include:  ArcGIS and ArcGIS Online basicsGeospatial data management, geoprocessing, and Python toolsMap layoutsSpatial analysis Throughout the book, case studies of real-world GIS applications show how ArcGIS Pro has been used to solve complex issues. Each chapter uses a real-world exercise dataset, and the chapters are designed to build on each other, providing practical, progressive learning. At the conclusion of every chapter, a summary reinforces the skills covered. The book also includes a glossary of technical terms. Getting to Know is the best-selling series that has been guiding readers in learning about GIS for more than 20 years. Ideal for students, self-learners, and professionals who want to learn the premier GIS desktop application, Getting to Know ArcGIS Pro 3.6 is a textbook and desk reference designed to show users how to use ArcGIS Pro successfully.

Denna bok ger en introduktion till relationsdatabaser och en pedagogiskt upplagd genomgång av SQL-språket. Syftet är att förmedla kunskaper som behövs för att någorlunda kunna förstå en databas uppbyggnad och för att kunna ställa frågor mot databasen. Boken kan användas som kurslitteratur på databaskurser eller som en självstudiebok. Förftattarna är lärare vid högskolan i Luleå och har mångårig erfarenhet av undervisning i relationsdatabaser och SQL-språket.

Learn database theory from the bestselling text with a beginner-friendly approach

Database Systems: A Practical Approach to Design, Implementation, and Management, 6th edition, Global Edition,by Thomas Connolly and Carolyn Begg, introduces you to the theory behind databases in a concise yet comprehensive manner.

The methodology behind relational Database Management Systems is presented in a simple way, with step-by-step instructions, making the text accessible for technical and non-technical readers. The text applies a realistic worked example that you follow across the chapters of the book using three explicit phases (conceptual, logical, and physical database design) to help you relate your knowledge to real-world applications. Designed for one or two-term undergraduate courses in database management or database design, this book can also be used as a working reference for IT professionals.

This 6th edition has been updated with the latest information on the subject, as well as additional learning features compared to the previous edition.

New features include:

An extended chapter on database architectures and the Web, covering cloud computing. A new Section on Data Warehousing and Temporal Databases. Updated text to cover the latest version of the SQL standard, which was released late 2011 (SQL:2011). An extended chapter on replication and mobile databases. Updated chapters on Web-DBMS integration and XML. Extended treatment of XML, SPARQL, Xquery 1.0 and Xpath 2.0 (including the new Xquery Update facility), and the new SQL:2011 SQL/XML standard. Coverage updated to Oracle 11g. New review questions and exercises at the end of chapters allow readers to test their understanding.

With its clear presentation that supports your learning, this book can provide you with a comprehensive understanding of the theory behind databases.

International bestseller with over half a million copies sold!Celebrate a decade of data storytelling with this special 10th anniversary edition of Storytelling with Data. Featuring refreshed visuals, expanded content, and new insights, this collector's edition builds on the classic's foundational lessons, empowering you to craft persuasive data stories.Don't simply show your data—tell a story with it!Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation.Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story.Specifically, you'll learn how to: Understand the importance of context and audienceDetermine the appropriate type of graph for your situationRecognize and eliminate the clutter clouding your informationDirect your audience's attention to the most important parts of your dataThink like a designer and utilize concepts of design in data visualizationLeverage the power of storytelling to help your message resonate with your audienceTogether, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it.

Databasteknik används nästan överallt i dag där data behöver lagras och bearbetas. Allt från webbplatser till mobilappar lagrar sina data i databaser. Databaser har därför blivit ett av de områden inom datatekniken som man har störst nytta av att kunna, vare sig man är användare, datatekniker eller programmerare.Boken Databasteknik börjar med grunderna om databaser, som scheman, datamodellering och användningsområden för databaser. Vi går vidare bland annat med frågespråk, transaktionshantering, säkerhet, prestanda och hur databashanteraren arbetar internt.Den vanligaste och populäraste typen av databaser är relations­databaser, och tyngdpunkten ligger därför på dem, bland annat med frågespråket SQL, och vi beskriver system som MySQL, PostgreSQL och Microsoft SQL Server. Men vi vänder oss till alla som arbetar med databaser, även till exempel objektorienterade databaser och NoSQL-databaser.

**From BBC presenter and journalist Ros Atkins, creator of the viral 'Ros Atkins on...' explainer videos and host of the forthcoming BBC Radio 4 podcast 'Communicating with Ros Atkins'**'A great read for polishing your communication skills' FORBES 'For all those who want their audiences to listen and understand' JEREMY BOWEN 'Precision, deftness and a calming expertise' THE TIMES Do you worry about holding people's attention during presentations?Are you unsure where to start when faced with writing an essay or report?Are you preparing for an interview and wondering how to get all your points across?Explanation - identifying and communicating what we want to say - is an art. And the BBC presenter and journalist Ros Atkins, creator of the viral 'Ros Atkins on...' explainer videos, is something of a master of the form. In this book, Ros shares the secrets he has learned from years of working in high-pressure newsrooms, identifying the ten elements of a good explanation and the seven steps you need to take to express yourself with clarity and impact.Whether at work, school, university or home, we all benefit from being able to articulate ourselves clearly. Filled with practical examples, The Art of Explanation is a must-read for anyone who wants to sharpen their communication skills.

Learn how to deploy and monitor databases in the cloud, manipulate documents, visualize data, and build applications running on MongoDB using Node.jsKey FeaturesLearn the fundamentals of NoSQL databases with MongoDBCreate, manage, and optimize a MongoDB database in the cloud using AtlasUse a real-world dataset to gain practical experience of handling big dataBook DescriptionMongoDB is one of the most popular database technologies for handling large collections of data. This book will help MongoDB beginners develop the knowledge and skills to create databases and process data efficiently.Unlike other MongoDB books, MongoDB Fundamentals dives into cloud computing from the very start – showing you how to get started with Atlas in the first chapter. You will discover how to modify existing data, add new data into a database, and handle complex queries by creating aggregation pipelines. As you progress, you'll learn about the MongoDB replication architecture and configure a simple cluster. You will also get to grips with user authentication, as well as techniques for backing up and restoring data. Finally, you'll perform data visualization using MongoDB Charts.You will work on realistic projects that are presented as bitesize exercises and activities, allowing you to challenge yourself in an enjoyable and attainable way. Many of these mini-projects are based around a movie database case study, while the last chapter acts as a final project where you will use MongoDB to solve a real-world problem based on a bike-sharing app.By the end of this book, you'll have the skills and confidence to process large volumes of data and tackle your own projects using MongoDB.What you will learnSet up and use MongoDB Atlas on the cloudInsert, update, delete, and retrieve data from MongoDBBuild aggregation pipelines to perform complex queriesOptimize queries using indexesMonitor databases and manage user authorizationImprove scalability and performance with sharding clustersReplicate clusters, back up your database, and restore dataCreate data-driven charts and reports from real-time dataWho this book is forThis book is designed for people who are new to MongoDB. It is suitable for developers, database administrators, system administrators, and cloud architects who are looking to use MongoDB for smooth data processing in the cloud. Although not necessary, basic knowledge of a general programming language and experience with other databases will help you grasp the topics covered more easily.

Databaser är en fundamental byggsten inom IT och har en central betydelse för att individer, företag, organisationer och samhällen ska kunna verka i modern tid. Denna bok lär ut databaser och SQL från grunden. Bokens primära fokus är på relationsdatabaser där kodexempel demonstreras i databashanterarna MySQL och Microsoft SQL Server (MSSQL). Boken har även ett kapitel som täcker icke-relationella databaser. Eftersom boken lär ut databaser och SQL från grunden innebär det att inga förkunskaper inom dessa områden förutsätts. Boken kan användas i kurser av olika slag inom exempelvis yrkeshögskolan, företag eller andra organisationer. Boken lämpar sig också för självstudier. Även de som har viss erfarenhet av databaser och SQL kan med fördel läsa boken för att få en gedigen grund. Smakprov för boken finns på dess hemsida: https://github.com/AntonioPrgomet/laer_dig_databaser_och_sql_1uppl

This print textbook is available for students to rent for their classes. The Pearson print rental program provides students with affordable access to learning materials, so they come to class ready to succeed.

A top-down, layered approach to computer networking.

Unique among computer networking texts, the 8th Edition of the popular Computer Networking: A Top Down Approach builds on the authors’ long tradition of teaching this complex subject through a layered approach in a “top-down manner.” The text works its way from the application layer down toward the physical layer, motivating students by exposing them to important concepts early in their study of networking. Focusing on the Internet and the fundamentally important issues of networking, this text provides an excellent foundation for students in computer science and electrical engineering, without requiring extensive knowledge of programming or mathematics. The 8th Edition has been updated to reflect the most important and exciting recent advances in networking, including the importance of software-defined networking (SDN) and the rapid adoption of 4G/5G networks and the mobile applications they enable.

Updated new edition of Ralph Kimball's groundbreaking book on dimensional modeling for data warehousing and business intelligence!The first edition of Ralph Kimball's The Data Warehouse Toolkit introduced the industry to dimensional modeling, and now his books are considered the most authoritative guides in this space. This new third edition is a complete library of updated dimensional modeling techniques, the most comprehensive collection ever. It covers new and enhanced star schema dimensional modeling patterns, adds two new chapters on ETL techniques, includes new and expanded business matrices for 12 case studies, and more. Authored by Ralph Kimball and Margy Ross, known worldwide as educators, consultants, and influential thought leaders in data warehousing and business intelligenceBegins with fundamental design recommendations and progresses through increasingly complex scenariosPresents unique modeling techniques for business applications such as inventory management, procurement, invoicing, accounting, customer relationship management, big data analytics, and moreDraws real-world case studies from a variety of industries, including retail sales, financial services, telecommunications, education, health care, insurance, e-commerce, and moreDesign dimensional databases that are easy to understand and provide fast query response with The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition.

Observability is the only way to engineer, manage, and improve the business-critical systems that customers depend on every day-and as the complexity of software grows, so does the need for observability. With this thoroughly revised second edition, authors Charity Majors, Liz Fong-Jones, and George Miranda take inventory of the current state of the field and explain how practitioners can evolve their observability practices from collecting separate, disparate signals to unified data workflows.This book is for any software engineering team, large or small, that must understand the unique customer experience in order to ship quality code and features that customers want, at the right velocity. You'll discover the value that observable systems bring and learn concrete steps you can follow to achieve an observability-driven development practice yourself. And four completely new chapters explore recent trends such as large language models, frontend observability, cost optimization/performance engineering, and practical open source tooling.Understand the impact observability has across the entire software development lifecycleLearn how and why different functional teams use observability with service-level objectivesImplement modern observability practices in your organizationMaximize the cost-effectiveness of observability toolingProduce quality code for context-aware system debugging and maintenanceUse data-rich analytics to quickly find answers when maintaining site reliability

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you will learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available in the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You will understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, governance, and deployment that are critical in any data environment regardless of the underlying technology. This book will help you: Assess data engineering problems using an end-to-end data framework of best practices Cut through marketing hype when choosing data technologies, architecture, and processes Use the data engineering lifecycle to design and build a robust architecture Incorporate data governance and security across the data engineering lifecycle

Upptäck världen av kryptovalutor och blockkedjeteknik med denna engagerande och omfattande bok! Oavsett om du är nybörjare eller redan har erfarenhet av kryptomarknaden, är denna bok ett oumbärligt verktyg för att förstå och navigera den spännande världen av digitala valutor. Lär dig grunderna och få insikt i de mest relevanta och aktuella ämnena inom krypto. Från Bitcoin till Ethereum, decentraliserade finansapplikationer till smarta kontrakt, och ICO:er till NFT:er. Denna bok fungerar både som en omfattande uppslagsbok för att snabbt hitta svar på dina frågor och som en fascinerande läsupplevelse från pärm till pärm. Upptäck de mest effektiva handelsstrategierna, lär dig att skydda dina tillgångar och undvik de vanligaste misstagen som nybörjare gör. Genom att dela med mig av mina egna erfarenheter ger jag dig verktygen för att lyckas på kryptomarknaden.

Learn how to use R to turn data into insight, knowledge, and understanding. Ideal for current and aspiring data scientists, this book introduces you to doing data science with R and RStudio, as well as the tidyverse-a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly.You'll learn how to import, transform, and visualize your data and communicate the results. And you'll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details. Each section in this edition includes exercises to help you practice what you've learned along the way.Updated for the latest tidyverse best practices, new chapters dive deeper into visualization and data wrangling, show you how to get data from spreadsheets, databases, and websites, and help you make the most of new programming tools.You'll learn how to:Visualize-create plots for data exploration and communication of resultsTransform-discover types of variables and the tools you can use to work with themImport-get data into R and in a form convenient for analysisProgram-learn R tools for solving data problems with greater clarity and easeCommunicate-integrate prose, code, and results with Quarto

Your life online is their product.In the past, colonialism was a landgrab of natural resources, exploitative labour and private property from countries around the world. It promised to modernise and civilise, but actually sought to control. It stole from native populations and made them sign contracts they didn’t understand. It took resources just because they were there.Colonialism has not disappeared – it has taken on a new form.In the new world order, data is the new oil. Big Tech companies are grabbing our most basic natural resources – our data – exploiting our labour and connections, and repackaging our information to control our views, track our movements, record our conversations and discriminate against us. Every time we unthinkingly click ‘Accept’ on Terms and Conditions, we allow our most personal information to kept indefinitely, repackaged by big Tech companies to control and exploit us for their own profit.In this searing, cutting-edge guide, two leading global researchers – and founders of the concept of data colonialism – reveal how history can help us both to understand the emerging future and to fight back.

When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.Throughout the book, you’ll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one and two. You’ll discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed.This book examines:Storage engines: Explore storage classification and taxonomy, and dive into B-Tree-based and immutable Log Structured storage engines, with differences and use-cases for eachStorage building blocks: Learn how database files are organized to build efficient storage, using auxiliary data structures such as Page Cache, Buffer Pool and Write-Ahead LogDistributed systems: Learn step-by-step how nodes and processes connect and build complex communication patternsDatabase clusters: Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency

This textbook is aimed at readers who have little or no knowledge of computer programming but want to learn to program in Python. It starts from the very basics including how to install your Python environment, how to write a very simple program and run it, what a variable is, what an if statement is, how iteration works using for and while loops as well as important key concepts such as functions, classes and modules. Each subject area is prefaced with an introductory chapter, before continuing with how these ideas work in Python.The second edition has been completely updated for the latest versions of Python including Python 3.11 and Python 3.12. New chapters have been added such as those that consider where and how Python is used, the use of Frozensets, how data can be sorted, enumerated types in Python, structural pattern matching and how (and why) Python Virtual Environments are configured. A new chapter ‘The Python Bites back’ is introduced to present the fourteen most common / biggest gotchas for someone new to Python. Other sections have been updated with new features such as Exception Groups, string operations and dictionary operations.A Beginners Guide to Python 3 Programming second Edition provides all you need to know about Python, with numerous examples provided throughout including several larger worked case studies illustrating the ideas presented in the previous chapters.

Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process.Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.Use the Jupyter notebook and IPython shell for exploratory computingLearn basic and advanced features in NumPyGet started with data analysis tools in the pandas libraryUse flexible tools to load, clean, transform, merge, and reshape dataCreate informative visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsAnalyze and manipulate regular and irregular time series dataLearn how to solve real-world data analysis problems with thorough, detailed examples

This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book.This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorisation, and spectral clustering. There is also a chapter on methods for "wide'' data (p bigger than n), including multiple testing and false discovery rates.

Your complete guide to Excel 365, written for newbies all the way to seasoned professionals Neatly organised and written using accessible language, Microsoft Excel 365 Bible contains everything that readers need to know to get up and running quickly with Excel. Covering the numerous updates to Excel 365 since the previous edition was published in 2022, this Second Edition contains many useful examples and tips and tricks that cover all essential aspects of Excel—from the basics, such as navigating the user interface, to more advanced topics, such as creating visualisations and crafting custom functions. Written by an accomplished team of authors with decades of Excel and business intelligence experience, this book explores topics including: Entering and editing worksheet data, with information on data types, formulas, dates, times and other cell contentsBuilding formulas with Excel table objects, correcting common formula errors and using formula variablesWorking with data series, changing basic chart elements and making use of chart customizationLoading data from other sources, performing common transformations and applying conditional logicMicrosoft Excel 365 Bible earns a well-deserved spot on the bookshelves of all professionals and individuals seeking to get the most out of Excel 365, from beginners with limited knowledge of the software all the way to advanced users with years of experience under their belts.

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.

The definitive guide to dimensional design for your data warehouse

Learn the best practices of dimensional design. Star Schema: The Complete Reference offers in-depth coverage of design principles and their underlying rationales. Organized around design concepts and illustrated with detailed examples, this is a step-by-step guidebook for beginners and a comprehensive resource for experts.

This all-inclusive volume begins with dimensional design fundamentals and shows how they fit into diverse data warehouse architectures, including those of W.H. Inmon and Ralph Kimball. The book progresses through a series of advanced techniques that help you address real-world complexity, maximize performance, and adapt to the requirements of BI and ETL software products. You are furnished with design tasks and deliverables that can be incorporated into any project, regardless of architecture or methodology.

Master the fundamentals of star schema design and slow change processingIdentify situations that call for multiple stars or cubesEnsure compatibility across subject areas as your data warehouse growsAccommodate repeating attributes, recursive hierarchies, and poor data qualitySupport conflicting requirements for historic dataHandle variation within a business process and correlation of disparate activitiesBoost performance using derived schemas and aggregatesLearn when it's appropriate to adjust designs for BI and ETL tools

Three books by the bestselling authors on Data Warehousing! The most authoritative guides from the inventor of the technique all for a value price.The Data Warehouse Toolkit, 3rd Edition (9781118530801) Ralph Kimball invented a data warehousing technique called "dimensional modeling" and popularized it in his first Wiley book, The Data Warehouse Toolkit. Since this book was first published in 1996, dimensional modeling has become the most widely accepted technique for data warehouse design. Over the past 10 years, Kimball has improved on his earlier techniques and created many new ones. In this 3rd edition, he will provide a comprehensive collection of all of these techniques, from basic to advanced.The Data Warehouse Lifecycle Toolkit, 2nd Edition (9780470149775) Complete coverage of best practices from data warehouse project inception through on-going program management. Updates industry best practices to be in sync with current recommendations of Kimball Group. Streamlines the lifecycle methodology to be more efficient and user-friendlyThe Data Warehouse ETL Toolkit (9780764567575) shows data warehouse developers how to effectively manage the ETL (Extract, Transform, Load) phase of the data warehouse development lifecycle. The authors show developers the best methods for extracting data from scattered sources throughout the enterprise, removing obsolete, redundant, and inaccurate data, transforming the remaining data into correctly formatted data structures, and then physically loading them into the data warehouse.This book provides complete coverage of proven, time-saving ETL techniques. It begins with a quick overview of ETL fundamentals and the role of the ETL development team. It then quickly moves into an overview of the ETL data structures, both relational and dimensional. The authors show how to build useful dimensional structures, providing practical examples of beginning through advanced techniques.

Poor data quality can cause major problems for data teams, from breaking revenue-generating data pipelines to losing the trust of data consumers. Despite the importance of data quality, many data teams still struggle to avoid these issues-especially when their data is sourced from upstream workflows outside of their control. The solution: data contracts. Data contracts enable high-quality, well-governed data assets by documenting expectations of the data, establishing ownership of data assets, and then automatically enforcing these constraints within the CI/CD workflow.This practical book introduces data contract architecture with a clear definition of data contracts, explains why the data industry needs them, and shares real-world use cases of data contracts in production. In addition, you'll learn how to implement components of the data contract architecture and understand how they're used in the data lifecycle. Finally, you'll build a case for implementing data contracts in your organization.Authors Chad Sanderson and Mark Freeman will help you:Explore real-world applications of data contracts within the industryUnderstand how to apply each component of this architecture, such as CI/CD, monitoring, version control data, and moreLearn how to implement data contracts using open source toolsExamine ways to resolve data quality issues using data contract architectureMeasure the impact of implementing a data contract in your organizationDevelop a strategy to determine how data contracts will be used in your organization