<b>How to effectively use BigQuery, avoid common mistakes, and execute sophisticated queries against large datasets</b> <p><i>Google BigQuery Analytics</i> 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
Google BigQuery Analytics
β Scribed by Jordan Tigani, Siddartha Naidu
- Publisher
- Wiley
- Year
- 2014
- Tongue
- English
- Leaves
- 530
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
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<b>How to effectively use BigQuery, avoid common mistakes, and execute sophisticated queries against large datasets</b> <p><i>Google BigQuery Analytics</i> 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
<b>How to effectively use BigQuery, avoid common mistakes, and execute sophisticated queries against large datasets</b> <p><i>Google BigQuery Analytics</i> 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
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