![[Review] Google BigQuery (Valliappa Lakshmanan) Summarized.](https://episodes.castos.com/660078c6833215-59505987/images/2685830/c1a-085k3-255m9nd5a0v3-rnrefe.jpg)
Show Notes
Google BigQuery (Valliappa Lakshmanan)
- Amazon USA Store: https://www.amazon.com/dp/1492044466?tag=9natree-20
- Amazon Worldwide Store: https://global.buys.trade/Google-BigQuery-Valliappa-Lakshmanan.html
- Apple Books: https://books.apple.com/us/audiobook/google-cloud-cookbook-practical-solutions-for-building/id1643307595?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree
- eBay: https://www.ebay.com/sch/i.html?_nkw=Google+BigQuery+Valliappa+Lakshmanan+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1
- Read more: https://english.9natree.com/read/1492044466/
#separationofcomputeandstorage #ETLELandELTpipelines #nestedandrepeateddata #distributedSQLqueryoptimization #BigQueryML #GoogleBigQuery
Google BigQuery: The Definitive Guide is a practical technical reference on using Google Cloud BigQuery for large-scale data warehousing, analytics, and machine learning. Written by Valliappa Lakshmanan and Jordan Tigani, it explains both the user-facing workflow of querying and managing data and the architectural choices that make BigQuery a serverless distributed SQL system. The book addresses the needs of data engineers, analysts, data scientists, and technical leaders who work with datasets too large or too dynamic for conventional database practices. Its scope moves from data processing concepts and SQL analysis to ingestion, performance, security, operational design, and BigQuery ML. Rather than treating the platform as only a query engine, the guide presents it as part of a broader cloud data environment, with connections to pipelines, business intelligence tools, geospatial analysis, and machine learning services. The central purpose is to help readers make technically sound decisions about storing, transforming, querying, and learning from data at substantial scale.
- Amazon USA Store: https://www.amazon.com/dp/1492044466?tag=9natree-20
- Amazon Worldwide Store: https://global.buys.trade/Google-BigQuery-Valliappa-Lakshmanan.html
- Apple Books: https://books.apple.com/us/audiobook/google-cloud-cookbook-practical-solutions-for-building/id1643307595?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree
- eBay: https://www.ebay.com/sch/i.html?_nkw=Google+BigQuery+Valliappa+Lakshmanan+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1
- Read more: https://english.9natree.com/read/1492044466/
#separationofcomputeandstorage #ETLELandELTpipelines #nestedandrepeateddata #distributedSQLqueryoptimization #BigQueryML #GoogleBigQuery
Google BigQuery: The Definitive Guide is a practical technical reference on using Google Cloud BigQuery for large-scale data warehousing, analytics, and machine learning. Written by Valliappa Lakshmanan and Jordan Tigani, it explains both the user-facing workflow of querying and managing data and the architectural choices that make BigQuery a serverless distributed SQL system. The book addresses the needs of data engineers, analysts, data scientists, and technical leaders who work with datasets too large or too dynamic for conventional database practices. Its scope moves from data processing concepts and SQL analysis to ingestion, performance, security, operational design, and BigQuery ML. Rather than treating the platform as only a query engine, the guide presents it as part of a broader cloud data environment, with connections to pipelines, business intelligence tools, geospatial analysis, and machine learning services. The central purpose is to help readers make technically sound decisions about storing, transforming, querying, and learning from data at substantial scale.
