Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale,New

Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale,New

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Work with petabytescale 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, youll 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 youre not familiar with or prefer to focus on specific tasks, this reference is indispensable.

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  • Q: What is the main focus of 'Google BigQuery: The Definitive Guide'? A: This book provides comprehensive guidance on using Google BigQuery for data warehousing, analytics, and machine learning at scale.
  • Q: Who are the authors of this book? A: The book is authored by Valliappa Lakshmanan, a tech lead for Google Cloud Platform, and Jordan Tigani, an engineering director for the BigQuery team.
  • Q: What type of datasets can I work with using BigQuery? A: You can work with petabyte-scale datasets, enabling efficient storage, querying, and analysis of large amounts of data.
  • Q: Is this book suitable for beginners? A: Yes, the book serves as a practical reference for both beginners and experienced users looking to understand various aspects of BigQuery.
  • Q: What format is the book available in? A: The book is available in paperback format.
  • Q: How many pages does this book have? A: The book consists of 519 pages.
  • Q: When was 'Google BigQuery: The Definitive Guide' published? A: The book was published on December 3, 2019.
  • Q: Does this book cover best practices for data warehousing? A: Yes, it includes best practices for modern data warehousing within an autoscaled, serverless public cloud.
  • Q: What edition of the book is available? A: This is the first edition of 'Google BigQuery: The Definitive Guide'.
  • Q: What can I expect to learn from this book? A: You can expect to learn how to analyze data at scale and derive insights efficiently from large datasets using Google BigQuery.

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