Learning Apache Drill ― Query and Analyze Structured Data
- ISBN13:9781492032793
- 出版社:Oreilly & Associates Inc
- 作者:Charles Givre; Paul Rogers
- 裝訂/頁數:平裝/175頁
- 規格:23.3cm*17.8cm (高/寬)
- 出版日:2018/08/25
商品簡介
Apache Drill enables interactive analysis of massively large datasets, allowing you to execute SQL queries against data in many different data sources—including Hadoop and MongoDB clusters, HBase, or even your local file system—and get results quickly. With this practical guide, analysts and data scientists focused on business or research applications will learn how to incorporate Drill capabilities into complex programs, including how to use Drill queries to replace some MapReduce operations in a large-scale program.
Drill committers Charles Givre and Paul Rogers provide an introduction to Drill and its ability to handle large files containing data in flexible formats with nested data structures and tables. You’ll discover how this capability fills a gap in the Hadoop ecosystem.
Additional topics show you how to:
- Prepare and organize data to maximize Drill performance
- Set expectations for Drill performance on different data types and volumes
- Reconcile Drill’s schema-free features with schema-full JDBC and ODBC clients
作者簡介
Mr. Charles Givre is an Apache Drill committer and has worked as a Senior Lead Data Scientist for Booz Allen Hamilton for the last six years where he works in the intersection of cyber security and data science. Mr. Givre is passionate about teaching others data science and analytic skills and has taught data science classes all over the world at conferences, universities and for clients. Most recently, Mr. Givre taught a data science class at the BlackHat conference in Las Vegas and the Center for Research in Applied Cryptography and Cyber Security at Bar Ilan University. He is a sought-after speaker and has delivered presentations at major industry conferences such as Strata-Hadoop World, BlackHat, Open Data Science Conference and others.
Paul Rogers is an Apache Drill committer at MapR where he focuses on Drill’s execution engine. Paul has worked as a software architect at a number database and BI companies such as Oracle, Actuate and Informix. Paul was the early architect of the Eclipse BIRT project. His interests include making Drill even easier to use for end-users and plug-in developers.
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