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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.

Why Paddy Power Betfair Bet on a Cloud Architecture for Big Data

Formed in 2016, Paddy Power Betfair (PPB) is the world’s largest publicly quoted sports betting and gaming company, bringing “excitement to life” for five million customers worldwide. The merger of Paddy Power and Betfair in 2016 created an additional data challenge for an already highly data-driven organization. The merged company had to bring together 70TB of data, from dozens of sources, into an integrated platform.

How to Go Serverless with Talend & AWS Lambda

Recently I found myself in a predicament that many of you can relate to, trying to update an aging application that has become too difficult to manage and too costly to continue operating. As we started to talk about what to do, we concluded it was time to start decomposing that application into smaller more manageable pieces.

What's Outcome-Based Data Management?

Companies don’t gain business value just by gathering lots of data. They don’t even necessarily gain value from analyzing the data. The true keys to success are choosing the right data to focus on, knowing what to do with it, and determining the best ways to apply analytics to solve business problems or address market opportunities.

The Race for AI: Embed Artificial Intelligence in all Business Application by 2019 or Risk Irrelevancy

Artificial Intelligence (AI) emerged as a hot topic in 2017. Although scientists have been working on the technology and heralding its numerous anticipated benefits for more than four decades, it’s only in the past few years that society’s AI dreams have come to fruition.