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

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


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ISBN: 9781492044468 | 470 pages | 12 Mb

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


Free download easy phonebook Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale (English Edition) 9781492044468

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: Data Warehousing
Google Bigquery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale. Google Bigquery: The Definitive Guide: Data  Business Intelligence | Google Cloud
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Title: Google BigQuery The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale Author: Lakshmanan, Valliappa Tigani, Jordan  Google BigQuery, The Definitive Guide by Valliappa Lakshmanan
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Fast, scalable, and easy-to-use AI offerings including machine learning, video and AI Platform Notebooks is a managed service whose integrated JupyterLab with the latest data science and ML frameworks and integrate with BigQuery, Cloud services, making it easy to scale in the cloud or shift from on-premises. Cloud Storage Options | Storage Products | Google Cloud
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Google pays for the storage of these datasets and provides public access to the data via a project. You pay only for the queries that you perform on the data. Big Data Analytics Products | Data Analytics Products | Google Cloud
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