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


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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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Google Cloud's Guide to Data Analytics & Machine Learning draws upon Google's New systems had to be built to handle traffic at the scale of the entire and data warehousing as a first step in building a foundation for machine learning and AI. 1 . including Google Cloud's data warehouse BigQuery, to support HIPAA. Google BigQuery Analytics: Jordan Tigani: 9781118824825
Learning Google BigQuery: A beginner's guide to mining massive datasets Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at… . The authors explain the reason why Google chose the "scale-out" as . End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning. Google BigQuery: The Definitive Guide - Data Warehousing
BigQuery enables enterprises to efficiently store, query, ingest, and learn from their data Guide - Data Warehousing, Analytics, and Machine Learning at Scale. Google Cloud Platform | Documentation | Google Cloud
Comprehensive documentation, guides, and resources for Google Cloud Platform Machine learning-optimized JupyterLab instances ML models in BigQuery Large-scale correlations API Data warehouse and analytics with built-in ML . Your definitive, trusted source for news, guidance, and perspectives from  Visualizing BigQuery data using Data Studio - Google Cloud
BigQuery is a petabyte-scale analytics data warehouse that you can use to run SQL queries over vast amounts of data in near realtime. Google Bigquery: The Definitive Guide: Data Warehousing - Adlibris
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