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http://hdl.handle.net/123456789/513Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Du, Dayong | - |
| dc.date.accessioned | 2026-06-05T10:48:21Z | - |
| dc.date.available | 2026-06-05T10:48:21Z | - |
| dc.date.issued | 2015-02 | - |
| dc.identifier.isbn | 978-1-78355-857-5 | - |
| dc.identifier.uri | http://hdl.handle.net/123456789/513 | - |
| dc.description.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 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. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Packt Publishing | en_US |
| dc.relation.ispartofseries | 1210215; | - |
| dc.subject | Apache Hive Essentials | en_US |
| dc.title | Apache Hive Essentials | en_US |
| dc.title.alternative | Immerse yourself on a fantastic journey to discover the attributes of big data by using Hive | en_US |
| dc.type | Book | en_US |
| Appears in Collections: | E-Books | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Apache Hive Essentials.pdf | 2.22 MB | Adobe PDF | View/Open |
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