Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/1781| Title: | Apache Hive Essentials |
| Other Titles: | Essential techniques to help you process, and get unique insights from, big data |
| Authors: | Du, Dayong |
| Keywords: | Apache Hive Essentials |
| Issue Date: | Jun-2018 |
| Publisher: | Packt Publishing |
| Series/Report no.: | 1290618; |
| Abstract: | With an increasing interest in big data analysis, Hive over Hadoop becomes a cutting-edge data solution for storing, computing, and analyzing big data. The SQL-like syntax makes Hive easier to learn and is popularly accepted as a standard for interactive SQL queries over big data. The variety of features available within Hive provides us with the capability of doing complex big data analysis without advanced coding skills. The maturity of Hive lets it gradually merge and share its valuable architecture and functionalities across different computing frameworks beyond Hadoop. |
| URI: | http://hdl.handle.net/123456789/1781 |
| ISBN: | 978-1-78899-509-2 |
| Appears in Collections: | E-Books |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Apache Hive Essentials (2).pdf | 2.33 MB | Adobe PDF | View/Open |
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