Название: Google BigQuery: The Definitive Guide Автор: Jordan Tigani, Valliappa Lakshmanan
Издательство: O'Reilly Media, Inc.
ISBN: 9781492044390
Год: 2019 (2020 Edition)
Страниц: 324
Язык: английский
Формат: epub, pdf (conv)
Размер: 24.0 MB
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.
Google BigQuery is a serverless, highly scalable data warehouse that comes with a built-in query engine. The query engine is capable of running SQL queries on terabytes of data in a matter of seconds and petabytes in minutes. You get this performance without having to manage any infrastructure and without having to create or rebuild indexes.
What if you could run SQL queries as in an RDBMS system, obtain efficient and distributed traversal through the entire dataset efficiently as in MapReduce, and not have to manage infrastructure? That’s the third option, and it is what makes BigQuery so magical. BigQuery is serverless and you can run queries without having to manage infrastructure. It enables you to carry out analyses that process aggregations over the entire dataset in seconds to minutes.
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