After you have the ways
to build a high-way to a mountain of data-source, the immediate need is
to make meaning of these data. One of the front-runners of data
visualization and analytics, Tableau,
provides way to create ad-hoc visualizations from extracts of data from
Hadoop clusters or straight live from the Hadoop clusters. Creating
visualization from in-memory data and staging extract of data from
Hadoop clusters into relational databases and creating visualizations
from the same; both are facilitated by Tableau.
Other analytics vendor like Snaplogic and Pentaho also
provides tools for operating with Hadoop clusters, which does not
require developers to write code. Microsoft has an integrated platform
for integration, reporting and analytics (in-memory/olap) and an IDE
like SSDS (formerly BIDS).
If tools similar to Talend and
Tableau are integrated into SSIS, SSAS, SSRS, DB Engine and SSDT, then
Microsoft is one of the best positioned leaders to take Hadoop to a wide
audience in their main-stream business. When platforms like Azure Data
Market, Data Quality Services, Master Data Management, StreamInsight,
Sharepoint etc join hands with tool and technology support integrated
with SQL Sever, it would be an unmatched way to extract intelligence out
of Hadoop. Connectors for Hadoop has been the first baby step towards
this area. Still lot of maturity in this area is awaited.
Till then look out for existing
leaders in this area like Cloudera, MapR, Hortonworks, Apache and
GreenPlum for Hadoop distributions and implementation. And for Hadoop
tools, software vendors like Talend, Tableau, SnapLogic and Pentaho can
provide the required toolset.
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