Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale
Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale by Valliappa Lakshmanan, Jordan Tigani
English | October 23rd, 2019 | ISBN: 1492044466 | 498 pages | True PDF | 10.48 MB
English | October 23rd, 2019 | ISBN: 1492044466 | 498 pages | True PDF | 10.48 MB
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.
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