Google BigQuery : the definitive guide : data warehousing, analytics, and machine learning at Scale
(Book)

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Published
Sebastopol, CA : O'Reilly Media, [2019].
Status
Aurora Hills - Adult Nonfiction
005.7 LAKSH
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LocationCall NumberStatus
Aurora Hills - Adult Nonfiction005.7 LAKSHAvailable

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Published
Sebastopol, CA : O'Reilly Media, [2019].
Format
Book
Physical Desc
xvii, 475 pages : illustrations ; 23 cm
Language
English

Notes

Bibliography
Includes index.
Description
"Derive insights from petabyte-scale datasets while building a collaborative, agile workplace in the process. This practical book is the canonical reference to Google BigQuery whose storage system lets you consolidate data from across your enterprise, and whose query engine enables you to condust interactive analysis and machine learning on large datasets. BigQuery enables enterprises to efficiently store, query, ingest, and learn from data in one convenient framework. Valliappa Lakshmanan and Jordan Tigani 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 thorough guide is indispensable."--,Provided by publisher

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Citations

APA Citation, 7th Edition (style guide)

Lakshmanan, V., & Tigani, J. (2019). Google BigQuery: the definitive guide : data warehousing, analytics, and machine learning at Scale . O'Reilly Media.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Lakshmanan, Valliappa and Jordan Tigani. 2019. Google BigQuery: The Definitive Guide : Data Warehousing, Analytics, and Machine Learning At Scale. O'Reilly Media.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Lakshmanan, Valliappa and Jordan Tigani. Google BigQuery: The Definitive Guide : Data Warehousing, Analytics, and Machine Learning At Scale O'Reilly Media, 2019.

MLA Citation, 9th Edition (style guide)

Lakshmanan, Valliappa, and Jordan Tigani. Google BigQuery: The Definitive Guide : Data Warehousing, Analytics, and Machine Learning At Scale O'Reilly Media, 2019.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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