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Google Bigquery: the Definitive Guide by Valliappa Lakshmanan

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Google Bigquery: the Definitive Guide

Data Warehousing, Analytics, and Machine Learning at Scale

Valliappa Lakshmanan, Jordan Tigani

O'Reilly Media · Print & ebook · December 3, 2019

Reading lane: Data Warehousing

Work with petabyte-scale datasets while building a collaborative, agile workplace in the process.

At a Glance

Who It's For

Readers seeking BigQuery guidance for exploration or specific tasks

Book Details

Authors
Valliappa Lakshmanan, Jordan Tigani
Publisher
O'Reilly Media
Published
December 3, 2019
Format
Print & ebook
Theme
Data Warehousing · Data Mining
Reading lane
Data Warehousing

Affinity

Publisher Categories

  • Tech Industry

  • Productivity Software

  • Data Science

  • Database Administration

Show all 7 publisher categories
  • Data Mining

  • Data Warehousing

  • Cloud Computing

About This Book

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. Vall...

Read full description

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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