Google Bigquery: the Definitive Guide
Data Warehousing, Analytics, and Machine Learning at Scale
O'Reilly Media · Print & ebook · December 3, 2019
Work with petabyte-scale datasets while building a collaborative, agile workplace in the process.
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- Who it’s for
- Readers seeking BigQuery guidance for exploration or specific tasks
- Themes
- Data warehousing, Large-scale analytics, Machine learning at scale
- Genres
- Data Warehousing, Cloud Computing, SQL & Databases
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Start with this bookAbout this book
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.
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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.
Where it sits
| Data Warehousing | 76% |
|---|---|
| SQL & Databases | 44% |
| Cloud Computing | 29% |
Percentages are BookFrontier’s reading of the book.
Publisher categories
- Tech Industry
- Productivity Software
- Data Science
- Database Administration
Show all 7 publisher categories
- Data Mining
- Data Warehousing
- Cloud Computing
- Authors
- Valliappa Lakshmanan, Jordan Tigani
- Publisher
- O'Reilly Media
- Published
- December 3, 2019
- Format
- Print & ebook
- Theme
- Data warehousing · Large-scale analytics · Machine learning at scale
- Reading lane
- Tech Industry