Publisher |
Shroff/O'Reilly |
Publication Year |
2019 |
ISBN-13 |
9789352139217 |
ISBN-10 |
9789352139217 |
Binding |
Paperback |
Number of Pages |
496 Pages |
Language |
(English) |
Dimensions (Cms) |
20X14X4 |
Weight (grms) |
750 |
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.
Jordan Tigani
Jordan Tigani is currently Director of Product Management for Google BigQuery. He has more than 20 years of professional software development experience, the last 8 of which have been spent creating and developing BigQuery. Other previous jobs have ranged from working on machine learning at an advertising startup to Microsoft Research to working at a short-lived mobile location-based social network buzzword generator.
Jordan Tigani
Shroff/O'Reilly