Book description
Work with petabyte-scale datasets while building a collaborative, agile workplace in the process. This practical book is the canonical reference to Google BigQuery, the query engine that lets you conduct interactive analysis of large datasets. BigQuery enables enterprises to efficiently store, query, ingest, and learn from their data in a convenient framework. With this book, you’ll examine how to analyze data at scale to derive insights from large datasets efficiently.
Valliappa Lakshmanan, tech lead for Google Cloud Platform, and Jordan Tigani, engineering director for the BigQuery team, provide best practices for modern data warehousing within an autoscaled, serverless public cloud. Whether you want to explore parts of BigQuery you’re not familiar with or prefer to focus on specific tasks, this reference is indispensable.
Publisher resources
Table of contents
- Preface
- 1. What Is Google BigQuery?
- 2. Query Essentials
- 3. Data Types, Functions, and Operators
- 4. Loading Data into BigQuery
- 5. Developing with BigQuery
- 6. Architecture of BigQuery
- 7. Optimizing Performance and Cost
- 8. Advanced Queries
- 9. Machine Learning in BigQuery
- 10. Administering and Securing BigQuery
- Index
Product information
- Title: Google BigQuery: The Definitive Guide
- Author(s):
- Release date: October 2019
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781492044468
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