Four Steps to Ensure Your Big Data Investment Pays Off
Fueled mainly by demand for Big Data applications, a number of NoSQL databases have emerged as viable alternatives to traditional relational databases. Rather than deal with trying to manage multiple relational database instances, many organizations are opting to run Big Data applications on NoSQL databases that are designed to support Big Data applications that require more performance than can generally be delivered via Hadoop.
One of those platforms is Riak, a NoSQL distributed database that has been commercialized by Basho Technologies. Riak Enterprise 2.0 has been revamped to include support for the open source Apache Solr enterprise search engine, along with support for a number of additional data types. In addition, Riak Enterprise 2.0 adds support for enhanced security, simpler management tools and tiered storage.
Tyler Hannan, director of technical marketing for Basho Technologies, says that Riak provides all the benefits of a distributed database without forcing IT organizations to shard a relational database to support Big Data applications. As a result, the overall database platform is simpler to manage.
Obviously, there is no shortage of NoSQL database options. But with the rise of Big Data, it turns out that while the amount of data that needs to be managed is a challenge, the bigger issue is the rapid pace at which new data types are being introduced across the enterprise.
In that context, the biggest challenge may not actually be finding a database that can hold all the organization’s data, but rather a platform that unifies the management of all the different types of Big Data that organizations now regularly want to analyze.
