Big Data is mostly famous, well, for being big. So if you have anything under a petabyte, why would you even think about using Apache Hadoop? But you should.

Following our post about Hadoop security for the enterprise, or the lack thereof, one of the ways to make Hadoop more secure is by installing an additional platform. Five major...

While Hadoop has proved its power for scalable storage and processing of Big Data, it may not be enterprise-ready when it comes to security. Hortonworks, Cloudera and MapR address this...

Let’s say that you’re doing some marketing for a Big Data startup. As part of your campaign, you want to find the most influential tweeters who talk about Hadoop and...

Here's our screencast on how to connect Amazon S3 with Xplenty. Once setup, you can easily process and integrate data from Amazon S3.

How do you integrate data from Amazon RDS (Relational Database Service) with data from other sources such as S3, Redshift, or even MongoDB? The answer is Xplenty. Our data integration...

We concentrate on making data processing as fast and easy as possible. To complete the dataflow, Xplenty integrates with a plethora of services that can store, analyze, or visualize data....

New Xplenty features: processing small files, importing Heroku connections, MongoDB secondary replica sets and more.

Xplenty can read data from SQL Server, MongoDB, SAP HANA, and many more data stores. One of the many DBs Xplenty integrates with is Redshift.