Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/811| Title: | Elasticsearch for Hadoop |
| Other Titles: | Integrate Elasticsearch into Hadoop to effectively visualize and analyze your data |
| Authors: | Shukla, Vishal |
| Keywords: | Elasticsearch for Hadoop |
| Issue Date: | Oct-2015 |
| Publisher: | Packt Publishing |
| Series/Report no.: | 1201015; |
| Abstract: | The core components of Hadoop have been around from 2004-2006 as MapReduce. Hadoop's ability to scale and process data in a distributed manner has resulted in its broad acceptance across industries. Very large organizations are able to realize the value that Hadoop brings in: crunching terabytes and petabytes of data, ingesting social data, and utilizing commodity hardware to store huge volume of data. However, big data solutions must fulfill its appetite for the speed, especially when you query across unstructured data. |
| URI: | 978-1-78528-899-9 http://hdl.handle.net/123456789/811 |
| Appears in Collections: | E-Books |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Elasticsearch for Hadoop.pdf | 3.66 MB | Adobe PDF | View/Open |
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