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
Keywords: google bigquery analytics; google bigquery; bigquery analytics; guide to goolg bigquery; use google bigquery; learn google bigquery; how to use bigquery; bigquery how to guide; bigquery book; books on google bigquery; data analytics guide; data analytics books