As a result, existing applications, which are still likely to be using a SQL relational database, can bring data through as required into the Hadoop environment, using existing SQL tools to ...

GET THE OPTIMAL HADOOP ENVIRONMENT. Although Hadoop is not a database, many of the same data management techniques are relevant, such as prioritizing workloads to meet business demands and ...

The Hadoop community has so far failed to account for the poor performance and high complexity of Hadoop, Johnson says. “The Hadoop ecosystem is still basically in the hands of a small number of ...

SPECIAL FEATURE: As more enterprises begin to adopt the Hadoop big data wrangling technology, there is a growing need for SQL convergence.

Hadoop and MapReduce have long been mainstays of the big data movement, but some companies now need new and faster ways to extract business value from massive -- and constantly growing -- datasets.

Hadoop does utilize Kerberos for authentication. However, this protocol can be difficult to implement, and it doesn’t cover a number of other enterprise security requirements, such as role-based ...

Nobody is likely to buy a mainframe just to run Hadoop. But for those companies that already have a mainframe, processing some unstructured data in a mainframe-resident Hadoop environment could make ...

MarkLogic has underlined its intent to increase links between its NoSQL database and open-source big-data platform Hadoop. The firm's involvement with Hadoop goes back to November 2011 when it ...

Many organizations are deploying Hadoop to help launch their big data projects. Unfortunately, Hadoop runs in non-secure mode by default, which means sensitive data is at risk of both internal and ...

The Hortonworks Data Platform 2.0 Community Preview contains a number of new components for the Hadoop environment, most notably YARN (Yet Another Resource Negotiator), a successor to Hadoop’s ...