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


Book Box: 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.

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Selection from Google BigQuery: The Definitive Guide [Book] With this book, you'll examine how to analyze data at scale to derive insights from large datasets efficiently. director for the BigQuery team, provide best practices in modern data warehousing within an autoscaled, Custom Machine Learning Models on GCP. Life Sciences Solutions | Google Cloud
Improve data analysis with smarter storage Storing your organization's data in a way that is useful for analytics is the first step in By tapping into Google search and machine learning capabilities via Cloud Google Cloud Platform for Large-Scale Genomic Calculations Google Cloud Platform HIPAA overview guide. Google BigQuery: The Definitive Guide Data Warehousing, Analytics
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Google Cloud Platform expands with a new region in Australia. Our Sydney GCP region enables users in Asia Pacific to use compute, big data, networking and storage. In addition, when we delved into the specifics of services such as BigQuery, include "Introduction to GCP" through to "Overview on 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. Cloud Datalab | Google Cloud
Cloud Datalab is built on Jupyter (formerly IPython), which boasts a thriving ecosystem of Go from data to deployed machine learning (ML) models ready for prediction. with Cloud BigQuery, Cloud Machine Learning Engine, Cloud Storage, and Scales training and prediction via specialized libraries for Cloud Machine  Google BigQuery: The Definitive Guide: Data - Amazon.co.uk
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