| 000 | 01659cam a2200277zu 4500 | ||
|---|---|---|---|
| 001 | 88852712 | ||
| 003 | FRCYB88852712 | ||
| 005 | 20250107224659.0 | ||
| 006 | m o d | ||
| 007 | cr un | ||
| 008 | 250107s2015 fr | o|||||0|0|||eng d | ||
| 020 | _a9781784399429 | ||
| 035 | _aFRCYB88852712 | ||
| 040 |
_aFR-PaCSA _ben _c _erda |
||
| 100 | 1 | _aNadipalli, Rajesh | |
| 245 | 0 | 1 |
_aHDInsight Essentials - Second Edition _c['Nadipalli, Rajesh'] |
| 264 | 1 |
_bPackt Publishing _c2015 |
|
| 300 | _a p. | ||
| 336 |
_btxt _2rdacontent |
||
| 337 |
_bc _2rdamdedia |
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| 338 |
_bc _2rdacarrier |
||
| 650 | 0 | _a | |
| 700 | 0 | _aNadipalli, Rajesh | |
| 856 | 4 | 0 |
_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88852712 _qtext/html _a |
| 520 | _aTraditional relational databases are today ineffective with dealing with the challenges presented by Big Data. A Hadoop-based architecture offers a radical solution, as it is designed specifically to handle huge sets of unstructured data.This book takes you through the journey of building a modern data lake architecture using HDInsight, a Hadoop-based service that allows you to successfully manage high volume and velocity data in the Microsoft Azure Cloud. Featuring a wealth of practical examples, you'll find tips and techniques to provision your own HDInsight cluster to ingest, organize, transform, and analyze data.While guided through HDInsight, you'll explore the wider Hadoop ecosystem with plenty of working examples on Hadoop technologies including Hive, Pig, MapReduce, HBase, Storm, and analytics solutions including using Excel PowerQuery, PowerMap, and PowerBI. | ||
| 999 |
_c68979 _d68979 |
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