Автор: Dave Fowler, Matt David
Издательство: Wiley
Год: 2022
Страниц: 259
Язык: английский
Формат: pdf (true), epub
Размер: 18.9 MB
Learn how to manage a modern data stack and get the most out of data in your organization!
Thanks to the emergence of new technologies and the explosion of data in recent years, we need new practices for managing and getting value out of data. In the modern, data driven competitive landscape the "best guess" approach—reading blog posts here and there and patching together data practices without any real visibility—is no longer going to hack it. The Informed Company provides definitive direction on how best to leverage the modern data stack, including cloud computing, columnar storage, cloud ETL tools, and cloud BI tools. You'll learn how to work with Agile methods and set up processes that's right for your company to use your data as a key weapon for your success . . . You'll discover best practices for every stage, from querying production databases at a small startup all the way to setting up data marts for different business lines of an enterprise.
In their work at Chartio, authors Fowler and David have learned that most businesspeople are almost completely self-taught when it comes to data. If they are using resources, those resources are outdated, so they're missing out on the latest cloud technologies and advances in data analytics. This book will firm up your understanding of data and bring you into the present with knowledge around what works and what doesn't.
Discover the data stack strategies that are working for today's successful small, medium, and enterprise companies
Learn the different Agile stages of data organization, and the right one for your team
Learn how to maintain Data Lakes and Data Warehouses for effective, accessible data storage
Gain the knowledge you need to architect Data Warehouses and Data Marts
Understand your business's level of data sophistication and the steps you can take to get to "level up" your data
The Informed Company is the definitive data book for anyone who wants to work faster and more nimbly, armed with actionable decision-making data.
Who This Book Is For:
We wrote this book for whoever values data and believes that informed companies are competitive. It's a book for the working professional who is creating a practical, modern data stack. It's for the lone analyst or the professional embedded in a team. It's for anyone interested in what design practices underlie robust data architecture, the kind that equips entire companies with business intelligence insights. At its heart, this book is written with collaboration in mind.
Contents:
About This Book
Foreword
Introduction
STAGE 1: SOURCE aka Siloed Data
STAGE 2: DATA LAKE aka Data Combined
Chapter Four: Why Build a Data Lake?
Chapter Five: Choosing an Engine for the Data Lake
Chapter Six: Extract and Load (EL) Data
Chapter Seven: Data Lake Security
Chapter Eight: Data Lake Maintenance
STAGE 3: DATA WAREHOUSE aka the Single Source of Truth
Chapter Nine: The Power of Layers and Views
Chapter Ten: Staging Schemas
Chapter Eleven: Model Data with dbt
Chapter Twelve: Deploy Modeling Code
Chapter Thirteen: Implementing the Data Warehouse
Chapter Fourteen: Managing Data Access
Chapter Fifteen: Maintaining the Source of Truth
STAGE 4: DATA MARTS aka Data Democratized
Acknowledgments and Contributions
Index
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