Learning Apache Drill: Query and Analyze Distributed Data Sources with SQL (1)

By: Charles Givre and Paul Rogers

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Synopsis: Get 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