Google BigQuery Analytics.pdf

Google BigQuery Analytics PDF

Jordan Tigani

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

The Google Analytics 360 integration with Google BigQuery gives analysts the opportunity to glean new business insights by accessing session and hit level data and combining it with separate data sets. Organizations and developers can analyze unsampled analytics data in seconds through BigQuery, a web service that lets developers and businesses conduct …

3.24 MB DATEIGRÖSSE
1118824822 ISBN
Englisch SPRACHE
Google BigQuery Analytics.pdf

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