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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

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

Download google audio books Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale 9781492044468 by Valliappa Lakshmanan, Jordan Tigani (English Edition)

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.

Visualizing BigQuery data in a Jupyter notebook - 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
Osta kirja Google Bigquery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale Valliappa Lakshmanan, Jordan Tigani (ISBN  BigQuery documentation | BigQuery | Google Cloud
BigQuery is Google's fully managed, petabyte scale, low cost analytics data warehouse. BigQuery is NoOps—there is no infrastructure to manage and you don't  Serverless Architecture | Google Cloud
The following whitepaper provides a guide to technical audiences on how to GCP serverless analytics covers data warehousing, data pipelines (ETL), BigQuery is GCP's petabyte scale, low cost data warehousing product. analytics, Cloud ML Engine is a managed machine learning service based on  Google BigQuery: The Definitive Guide Data Warehousing, Analytics
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