Learning Apache Drill : query and analyze distributed data sources with SQL / Charles Givre and Paul Rogers.

Format:

Book

Author/Creator:

Givre, Charles, author.

Rogers, Paul, author.

Language:

English

Subjects (All):

Apache Hadoop.

File organization (Computer science).

Querying (Computer science).

Physical Description:

1 online resource (331 pages)

Edition:

First edition.

Place of Publication:

Sebastopol, California : O'Reilly Media, 2019.

System Details:

text file

Summary:

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 analysis Query file types including logfiles, Parquet, JSON, and other complex formats Query Hadoop, relational databases, MongoDB, and Kafka with standard SQL Connect to Drill programmatically using a variety of languages Use Drill even with challenging or ambiguous file formats Perform sophisticated analysis by extending Drill’s functionality with user-defined functions Facilitate data analysis for network security, image metadata, and machine learning

Notes:

Includes index.

Description based on print version record.

ISBN:

9781492032755

1492032751

9781492032786

1492032786

9781492032779

1492032778

OCLC:

1089811460