By Mike McNamara, Sr. Manager, Product Marketing, NetApp
The synergies of third platform technologies—social, mobile, analytics, and the cloud—have made it possible to unlock new value in big data. Connected devices, also known as the Internet of Things (IoT), provide yet another opportunity to gain business insights from big data repositories. However, in order to use these new data sources effectively, you need storage solutions that can provide high performance at scale and with enterprise-grade reliability.
NetApp data analytic solutions for Splunk, Hadoop and NoSQL can help. NetApp EF-Series all-flash arrays and E-Series storage systems can boost the performance of your analytics applications and provide significant benefits when compared with data repositories based on commodity servers:
Faster searches, more visibility for Splunk
Realizing top performance from Splunk for fast ingesting and searching of data requires a correspondingly fast storage platform. NetApp EF/ E-Series solutions for Splunk enable faster searches while making deployment simpler and more efficient. Benefits include:
A NetApp SANtricity Performance App for Splunk Enterprise provides visibility into the health and performance of NetApp EF/E-Series storage systems. The free plug and play app can be downloaded from the Splunk website.
In addition, distributor Arrow Enterprise Computing Systems provides pre-configured and pre-validated NetApp and Splunk bundled solutions. These bundles leverage the high performing EF/E-Series storage to optimize performance in enterprise Splunk deployments requiring small, medium, large, and huge data ingest rates.
More control, more insights from Hadoop
The NetApp Storage Solution for Hadoop provides a ready-to-deploy, enterprise-class infrastructure for the Hadoop platform so you can control and gain insights from your big data. Brian Garrett, vice-president for ESG Lab, recommends evaluating this solution “to accelerate the delivery of insight to your business with an enterprise-class big data analytics infrastructure.”
Validated reference architectures deliver reliable Hadoop clusters and seamless integration of Hadoop with existing infrastructures. Benefits include:
There are two main types of Hadoop reference designs available for deployment:
For FAS systems, you can use the NetApp NFS Connector for Hadoop to run big data analytics natively on NFSv3 data and start analyzing existing data immediately—without the need to move data, create a separate analytics silo, or set up a Hadoop cluster.
Faster performance for NoSQL databases
Leverage NetApp all-flash storage for NoSQL to gain the performance and reliability you need to handle new types of data. Benefits include:
The NoSQL databases currently validated are Couchbase and MongoDB. Other NoSQL databases NetApp storage supports include Cassandra, HBase, and MarkLogic.
For more information, access the NetApp big data analytics page and watch this short video from industry analyst ESG. For more information on NetApp services and support, and AutoSupport technology, visit NetApp.com/Support.
1 Results when compared with commodity servers using internal disk drives based upon third-party lab report and NetApp internal testing.