The specialist in collecting, monitoring and analyzing big data generated by machines is now extending its capabilities to the universe of unstructured text data with Hunk, a tool that works in ...

That unstructured data creates problems for traditional databases; however, unstructured data is where Hadoop shines. An organization can collect all of these data streams and track how their ...

Hadoop-based data lakes are springing up all over the place as organizations seek low-cost repositories for storing huge mounds of semi-structured data. But when it comes to analyzing that data, some ...

Hadoop adoption is picking up as more unstructured data flows into the enterprise arena, but its rising importance will not relegate traditional relational database management systems (RDBMS)to ...

IBM (NYSE:IBM) has launched its unstructured-data cloud service, based on Hadoop. Called BigInsights, it’s essentially MapReduce for Dummies, which is no bad thing. In IT Blogwatch, bloggers ...

Mellanox today announced that its Big Data Unstructured Data Accelerator (UDA) has been selected as a finalist for the ‘Best of Interop’ in the ‘Perfo ...

Unstructured data cannot always be handled in real time either. Clear rules should be defined around which data needs to be handled in which order. If the data is directly relevant to revenue then ...

Apache Hadoop has been the driving force behind the growth of the big data industry. But what does it do, and why do you need all its strangely-named friends, such as Oozie, Zookeeper and Flume?

With growth in unstructured big data, RDBMS is inadequate for big data analytics. Know how to use SQL and MapReduce for big data analytics, instead.

If you deal with machine data, chances are you're familiar with Splunk, a big data tool geared specifically for machine data. Splunk collects, indexes and correlates real-time data generated by ...