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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

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

Free audio download books online Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale ePub

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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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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BigQuery is a petabyte-scale analytics data warehouse that you can use to run SQL queries over vast amounts of data in near realtime. Introduction to BigQuery | BigQuery | Google Cloud
BigQuery is an enterprise data warehouse that solves this problem by need to deploy any resources, such as disks and virtual machines. Google BigQuery: The Definitive Guide: Data Warehousing
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Remove operational complexities of data analytics with a serverless approach BigQuery is Google's fully managed, low cost, serverless data warehouse that works with Google's ingestion, data warehousing, and machine learning products , Because Cloud Dataprep is serverless and works at any scale, there is no  Improving data quality for machine learning and analytics with Cloud
Data quality is a critical component of any analytics and machine warehouses and other retail stores, may provide data (e.g. inventory, you assess data issues and guide your work in cleaning the data. . Cloud Dataprep automatically samples the data from BigQuery to fit it Profiling the data 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  Google BigQuery Data Transfer Service - Google Cloud
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