Analytics for Enterprise Class Hadoop and Streaming Data
Analytics for Enterprise Class Hadoop and Streaming Data
Analytics for Enterprise Class Hadoop and Streaming Data
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110 Underst<strong>and</strong>ing Big <strong>Data</strong><br />
Three easy steps are involved in using BigSheets to per<strong>for</strong>m Big <strong>Data</strong><br />
analysis:<br />
1. Collect data. You can collect data from multiple sources, including<br />
crawling the Web, local files, or files on your network. Multiple<br />
protocols <strong>and</strong> <strong>for</strong>mats are supported, including HTTP, HDFS,<br />
Amazon S3 Native File System (s3n), <strong>and</strong> Amazon S3 Block File<br />
System (s3). When crawling the Web, you can specify the web pages<br />
you want to crawl <strong>and</strong> the crawl depth (<strong>for</strong> instance, a crawl depth<br />
of two gathers data from the starting web page <strong>and</strong> also the pages<br />
linked from the starting page). There is also a facility <strong>for</strong> extending<br />
BigSheets with custom plug-ins <strong>for</strong> importing data. For example,<br />
you could build a plug-in to harvest Twitter data <strong>and</strong> include it in<br />
your BigSheets collections.<br />
2. Extract <strong>and</strong> analyze data. Once you have collected your in<strong>for</strong>mation,<br />
you can see a sample of it in the spreadsheet interface, such as that<br />
shown in Figure 5-10. At this point, you can manipulate your data<br />
using the spreadsheet-type tools available in BigSheets. For example,<br />
Figure 5-10 Analyze data in BigSheets
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