| 000 | 01136nam a22001697a 4500 | ||
|---|---|---|---|
| 020 | _a9789353435110 | ||
| 082 |
_a005.74 _bSOU/B |
||
| 100 | _aSourabh Mukherjee | ||
| 245 | _aBig Data simplified | ||
| 260 |
_aChennai _bPearson _c2019 |
||
| 300 | _a329p. | ||
| 520 | _aBig Data Simplified blends technology with strategy and delves into applications of Big Data in specialized areas, such as recommendation engines, data science and Internet of Things (IoT) and enables a practitioner to make the right technology choice. The steps to strategize a big data implementation are also discussed in detail. This book presents a holistic approach to the topic, covering a wide landscape of Big Data technologies like Hadoop 2.0 and package implementations, such as Cloudera. In-depth discussion of associated technologies, such as MapReduce, Hive, Pig, Oozie, Apache Zookeeper, Flume, Kafka, Spark, Python and NoSQL databases like Cassandra, MongoDB, graphs, etc., is also included. | ||
| 650 |
_aData analysis _aData management -Computer data _aBig data technology |
||
| 700 | _aAmit Kumar Das | ||
| 700 | _aSayan Goswami | ||
| 942 | _cBK | ||
| 999 |
_c59656 _d59656 |
||