000			02011nam a22002537a 4500
999			_c8837 _d8837
001			WIIW0000170
003			OSt
005			20190802143800.0
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008			190802t2018 |||||q|||||00| 0 eng d
020			_a978-1-4920-3277-9 _qE-Book
020			_a1-4920-3277-8 _qE-Book
040			_cOSt
100	1		_aGivre, Charles _4aut
245	1	0	_aLearning Apache Drill. _bQuery and analyze distributed data sources with SQL
250			_aFirst edition
260		1	_aBeijing _aBoston _aFarnham _aSebastopol _aTokyo _bO'Reilly _cOctober 2018
300			_a313 S. _bIll.
520			_aGet up to speed with Apache Drill, an extensible distributed SQL query engine that reads massive datasets in many popular file formats such as Parquet, JSON, and CSV. Drill reads data in HDFS or in cloud-native storage such as S3 and works with Hive metastores along with distributed databases such as HBase, MongoDB, and relational databases. Drill works everywhere: on your laptop or in your largest cluster.In this practical book, Drill committers Charles Givre and Paul Rogers show analysts and data scientists how to query and analyze raw data using this powerful tool. Data scientists today spend about 80% of their time just gathering and cleaning data. With this book, you'll learn how Drill helps you analyze data more effectively to drive down time to insight.Use Drill to clean, prepare, and summarize delimited data for further analysisQuery file types including logfiles, Parquet, JSON, and other complex formatsQuery Hadoop, relational databases, MongoDB, and Kafka with standard SQLConnect to Drill programmatically using a variety of languagesUse Drill even with challenging or ambiguous file formatsPerform sophisticated analysis by extending Drill's functionality with user-defined functionsFacilitate data analysis for network security, image metadata, and machine learning
650			_aData Analyses & Machine Learning
700	1		_aRogers, Paul _4aut
942			_cE