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Published by O'Reilly Media 11/12/2019, 2019
ISBN 10: 1492044466 ISBN 13: 9781492044468
Language: English
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Paperback or Softback. Condition: New. Google Bigquery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale 1.73. Book.
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Seller: California Books, Miami, FL, U.S.A.
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Paperback. Condition: New. 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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Add to basketPaperback. Condition: New. 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.
Published by O'Reilly Media, Sebastopol, 2019
ISBN 10: 1492044466 ISBN 13: 9781492044468
Language: English
Seller: Grand Eagle Retail, Mason, OH, U.S.A.
Paperback. Condition: new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by O'Reilly Media, Inc, USA, 2019
ISBN 10: 1492044466 ISBN 13: 9781492044468
Language: English
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 791.
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Published by Oreilly & Associates Inc, 2019
ISBN 10: 1492044466 ISBN 13: 9781492044468
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Add to basketPaperback. Condition: Brand New. 350 pages. 9.25x7.00x1.00 inches. In Stock.
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Add to basketPaperback. Condition: New. 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.
Published by O'reilly Media Dez 2019, 2019
ISBN 10: 1492044466 ISBN 13: 9781492044468
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware - A comprehensive reference guide for using Google BigQuery, improving the reader's ability to use petabyte-scale datasets.
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Add to basketKartoniert / Broschiert. Condition: New. 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.Ü.