000			01534nam a2200229Ia 4500
003			IAB
005			20211227100736.0
008			210305s9999||||xx |||||||||||||| ||und||
020			_a9781118824825
040			_cDLC
082			_a025.04 TIG 2014
100			_aTigani, Jordan _eauthor
245		0	_aGoogle Bigquery Analytics/ _bJordan Tigani, Siddartha Naidu
260			_bJohn Wiley & Sons, Inc., _c2014 _c©2014 _aIndianapolis:
300			_a508 pages: _billustrations; _c24 cm
520			_aThis 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. It 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.
650			_aGoogle Analytics
650			_aGoogle BigQuery
650			_aWeb usage mining
700			_aNaidu, Siddartha, _eauthor
942			_2ddc _cBOOK
999			_c9319 _d9319