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


Google-BigQuery-The-Definitive.pdf
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


Ebook free download francais 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: DATA
ANALYTICS, AND MACHINE LEARNING AT SCALE (EARLY 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 BigQuery team, provide best practices for modern data warehousing  BigQuery - Analytics Data Warehouse | BigQuery | Google Cloud
BigQuery is a fast, highly-scalable, cost-effective, and fully managed enterprise data warehouse for large-scale analytics for all basic SQL users. BigQuery, Google's serverless, highly scalable enterprise data warehouse, is designed to Build and operationalize machine learning solutions or carry out geospatial analysis  Hands-On Machine Learning on Google Cloud Platform - Amazon.com
Editorial Reviews. About the Author. Giuseppe Ciaburro holds a PhD in environmental Data Science on the Google Cloud Platform: Implementing End- to-End Real-Time Learning Google BigQuery: A beginner's guide to mining massive datasets V Kishore Ayyadevara has over 9 years' experience of using analytics to  1. What Is Google BigQuery? - Google BigQuery: The Definitive
Selection from Google BigQuery: The Definitive Guide [Book] Google BigQuery is a serverless, highly scalable data warehouse that comes with a built-in query engine. The scale and speed are just two notable features of BigQuery. .. Another BigQuery extension to standard SQL supports creating machine learning   Data Sheet Informatica for Google BigQuery
data they produce to gain new insights that will guide their data-driven digital transformations. benefits of Google BigQuery enterprise data warehouse, you must load it Informatica® gives you the agility needed to rapidly kick off a cloud analytics Automate the creation of machine learning (ML) models in BigQuery ML  Books - Valliappa Lakshmanan (Lak)
V. Lakshmanan and J. Tigani, Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale. O'Reilly Media, 2019.



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