Google BigQuery Analytics (PDF)
(Sprache: Englisch)
How to effectively use BigQuery, avoid common mistakes, and execute sophisticated queries against large datasets
Google BigQuery Analytics is the perfect guide for business and data analysts who want the latest tips on running complex queries and writing...
Google BigQuery Analytics is the perfect guide for business and data analysts who want the latest tips on running complex queries and writing...
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Produktinformationen zu „Google BigQuery Analytics (PDF)“
How to effectively use BigQuery, avoid common mistakes, and execute sophisticated queries against large datasets
Google BigQuery Analytics is the perfect guide for business and data analysts who want the latest tips on running complex queries and writing code to communicate with the BigQuery API. The book uses real-world examples to demonstrate current best practices and techniques, and also explains and demonstrates streaming ingestion, transformation via Hadoop in Google Compute engine, AppEngine datastore integration, and using GViz with Tableau to generate charts of query results. In addition to the mechanics of BigQuery, the book also covers the architecture of the underlying Dremel query engine, providing a thorough understanding that leads to better query results.
* Features a companion website that includes all code and data sets from the book
* Uses real-world examples to explain everything analysts need to know to effectively use BigQuery
* Includes web application examples coded in Python
Google BigQuery Analytics is the perfect guide for business and data analysts who want the latest tips on running complex queries and writing code to communicate with the BigQuery API. The book uses real-world examples to demonstrate current best practices and techniques, and also explains and demonstrates streaming ingestion, transformation via Hadoop in Google Compute engine, AppEngine datastore integration, and using GViz with Tableau to generate charts of query results. In addition to the mechanics of BigQuery, the book also covers the architecture of the underlying Dremel query engine, providing a thorough understanding that leads to better query results.
* Features a companion website that includes all code and data sets from the book
* Uses real-world examples to explain everything analysts need to know to effectively use BigQuery
* Includes web application examples coded in Python
Autoren-Porträt von Jordan Tigani, Siddartha Naidu
The authors are founding members of the BigQuery team and havehelped build and run the service. Jordan Tigani is an active
participant in the BigQuery StackOverflow virtual community.
Siddartha Naidu has extensive experience helping customers
integrate with BigQuery.
Bibliographische Angaben
- Autoren: Jordan Tigani , Siddartha Naidu
- 2014, 1. Auflage, 528 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1118824873
- ISBN-13: 9781118824870
- Erscheinungsdatum: 20.05.2014
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 8.22 MB
- Mit Kopierschutz
Sprache:
Englisch
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