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
Ebooks downloadable pdf format 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.
Modern data warehousing with BigQuery: a Q&A - Google Cloud
We're also including a link to the Forrester Cloud Data Warehouse Wave analyst Product Marketing Lead—Data Analytics & IoT, Google Cloud of expertise in managing large-scale data warehousing systems. We have evolved BigQuery into a flexible, powerful foundation for machine learning and
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Editorial Reviews. From the Back Cover. Run complex queries and write code with BigQuery Google BigQuery Analytics is the perfect guide for business and data analysts Learning Google BigQuery: A beginner's guide to mining massive datasets through . Google BigQuery - the petabyte data warehouse in the cloud.
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Learning Google BigQuery: A beginner's guide to mining massive datasets Google BigQuery Analytics when you submit a machine learning job, you can process data at scale and The network bisection bandwidth within a Google Cloud Platform datacenter is 1 PBps, and so sustained reads off Cloud Storage are
Google BigQuery: The Definitive Guide : Valliappa Lakshmanan
Google BigQuery: The Definitive Guide : Data Warehousing, Analytics, and Work with petabyte-scale datasets while building a collaborative, agile Lead for Big Data and Machine Learning Professional Services on Google Cloud Platform .
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