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Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale by Valliappa Lakshmanan, Jordan Tigani

• Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale
• Valliappa Lakshmanan, Jordan Tigani
• Page: 470
• Format: pdf, ePub, mobi, fb2
• ISBN: 9781492044468
• Publisher: O'Reilly Media, Incorporated

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Free ebooks to download to android Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale

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.

Google BigQuery, The Definitive Guide by Valliappa Lakshmanan
Buy a discounted Paperback of Google BigQuery online from Australia's With this book, you&;ll examine how to analyze data at scale to derive for the BigQuery team, provide best practices for modern data warehousing . Practical Time Series Analysis : Prediction with Statistics and Machine Learning - Aileen Nielsen. Bigtable - Scalable NoSQL Database Service - Google Cloud
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Today's cloud world requires a new data processing approach – the Unified as Google BigQuery offers petabyte scale storage capabilities at the Cloud data management, analytics, reporting, and machine learning technologies. The Definitive Guide to Cloud Data Warehouses and Cloud Data Lakes.

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