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Learning Apache Drill - Query and Analyze Distributed Data Sources with SQL (Paperback)
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Learning Apache Drill - Query and Analyze Distributed Data Sources with SQL (Paperback)
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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
General
Imprint: |
O'Reilly Media
|
Country of origin: |
United States |
Release date: |
November 2018 |
Authors: |
Charles Givre
• Paul Rogers
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Dimensions: |
233 x 178 x 18mm (L x W x T) |
Format: |
Paperback
|
Pages: |
334 |
ISBN-13: |
978-1-4920-3279-3 |
Categories: |
Books
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LSN: |
1-4920-3279-4 |
Barcode: |
9781492032793 |
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