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 bookUses real-world examples to explain everything analysts need to know to effectively use BigQueryIncludes web application examples coded in Python
Publisher: John Wiley & Sons Inc
Number of pages: 528
Weight: 888 g
Dimensions: 238 x 195 x 25 mm
If you re at all interested in Google BigQuery, this is an excellent book. The descriptions and sample code are clear and easy to understand, and the fact the authors are so involved with the project means they include insights into why things were designed in that particular way. There are useful descriptions of the differences between BigQuery and other tools such as MapReduce, and overall you ll come out with a much clearer view of the big data scene right now, and how everything fits together. (I Programmer, August 2014)
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