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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.
來源：出版商其他版本2019年10月23日2019年—O'Reilly MediaO'Reilly Media, IncorporatedO'Reilly電子書平裝書電子書522 頁475 頁350 頁常見字詞和詞組ableallowsAPIarraybicycleBigQuerybigquery-public-data`.london_bicycles.cycle_hirebqcalledcarriedChapterclauseclientCloud StorageclustercolumncomputecontainscostCOUNTcreatedatasetdeleteDESCdurationencryptionengineerrorexampleexecutionexistingextractfieldsFigurefilterformatfunctionsgenderGoogle CloudGROUPHyde ParkinputJOINkeylabelLIMITloadlogslookmachine learningmanagedmeansNote更多字詞和詞組顯示較少取得書籍借閱搜尋圖書館藏書在WorldCat搜尋。搜尋「WorldCat」關於本書初版發行日期： 2019 年作者Valliappa Lakshmanan作者Valliappa (Lak) Lakshmanan is a Tech Lead for Big Data and Machine Learning Professional Services on Google Cloud Platform. His mission is to democratize machine learning so that it can be done by anyone anywhere using Google's amazing infrastructure (i.e., without deep knowledge of statistics or programming or ownership of lots of hardware).搜尋「Valliappa Lakshmanan」Jordan Tigani作家Jordan is engineering director for the core BigQuery team. He was one of the founding engineers on BigQuery, and helped grow it to be one of the most successful products in Google’s Cloud Platform. He wrote the first book on BigQuery, and has also spoken widely on the subject. Jordan has twenty years of software development experience, ranging from Microsoft Research to Machine Learning startups.搜尋「Jordan Tigani」這位作者的其他著作Machine Learning Design Patterns作者：Valliappa Lakshmanan、Sara Robinson、Michael MunnThe design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help data scientists ...Practical Machine Learning for Computer Vision作者：Valliappa Lakshmanan、Martin Görner、Ryan GillardThis practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including ...Guguru biggu kueri作者：ジョーダンティガニ、シッダールタナイドゥクラウド上でSQLを使ってビッグデータを解析するGoogle BigQueryについて包括的に解説。Google BigQueryの使い方から内部動作、そしてBigQueryならではのSQLの活用法、サードパーティのツールとの連携までを詳しく解説します。また、BigQueryを支えるGoogleのインフラストラクチャについても総覧しており、現代最高の超巨大インフラストラクチャの姿を知ることができ ...更多書籍出版社
