Practical Hive: A Guide to Hadoop's Data Warehouse System by Ankur Gupta

Practical Hive: A Guide to Hadoop's Data Warehouse System



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Practical Hive: A Guide to Hadoop's Data Warehouse System Ankur Gupta ebook
Publisher: Apress
Format: pdf
ISBN: 9781484202722
Page: 350


The first part of the guide will give a high-level overview of what we came to We had lots of data systems: relational OLTP databases, Hadoop, Teradata, in a data warehouse or Hadoop cluster—but with very low latency. The oracle user has captured some data in an HDFS directory. Practical Hive is your go-to resource for moving traditional relational databases into Hive, a Hadoop-based data warehousing product. However, there are some practical drawbacks: Hive: The Hive module is a so- called SQL-on-Hadoop engine and offers a SQL interface on data 2 Redmond, E. New systems must be copied to the data warehouse enlarging it even further. If you are a moderator please see our troubleshooting guide. By default, data for Hive tables is stored on HDFS under /user/hive/warehouse. From the outside, the two systems seem to be largely similar, but the Hive is a data warehouse solution that has a thin SQL-like querying language called HiveQL. As of Hive 0.13, the system supports unicode characters in column names. Amazon.co.jp： Practical Hive: A Guide to Hadoop's Data Warehouse System: Scott Shaw, Cindy Gross, Ankur Gupta: 洋書. Hive in Hadoop written by Gabriele Modena: one of the many articles from Packt Publishing.





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