Analytics

Making data-intensive processing efficient and portable with Apache Beam

The appearance of Hadoop and its related ecosystem was like a Cambrian explosion of open source tools and frameworks to process big amounts of data. But companies who invested early in big data found some challenges. For example, they needed engineers with expert knowledge not only on distributed systems and data processing but also on Java and the related JVM-based languages and tools.

Countly Compliance Hub

GDPR is becoming the most crucial regulation through EU’s data privacy legislations. It brings data privacy and protection for EU citizens, and all companies worldwide processing EU citizen data is requested to obey the rules it brings. Countly has been in the forefront when it comes to security and privacy focusing product analytics and marketing platform. We give upmost importance to your data, and provide on-prem solutions to make sure data you generate is always yours. This video shows how Countly conforms to GPDR and possibly other regulations in the future (e.g ePrivacy) via its "Compliance Hub" plugin.

How to Develop a Data Processing Job Using Apache Beam

Are you familiar with Apache Beam? If not, don’t be ashamed, as one of the latest projects developed by the Apache Software Foundation and first released in June 2016, Apache Beam is still relatively new in the data processing world. As a matter of fact, it wasn’t until recently when I started to work closely with Apache Beam, that I loved to learn and learned to love everything about it.