Month: October 2017

Proc Out: A Guide on Utilizing Talend with Google Cloud Dataproc

  Recently we updated our connectivity to all our Google components as well as introduced some new functionality for Google’s Cloud Platform.  Just as a starting list, we now support Google Dataproc and Pub/Sub in addition to all of their storage options.   In this blog, I want to show how impressive Google’s Big Data […]

Danger Zone: How Big is Your GDPR Blind Spot?

  Authored by Niamh Walsh, Sales & Marketing Director, Advanced Metadata A blind spot in a car is considered to be a location in your viewpoint for which you don’t have a direct view. Knowing the location of your car’s blind spot is an essential part of safe driving and the blind spot is different for […]

Digital Transformation and GDPR: How Self-Service Data in the Cloud Can Help

  What’s new in the Talend Fall ’17 edition: start your free trial now.  All IT vendors propose to help businesses transform their organizations into digital machines, become data-driven enterprises capable of leveraging information to better serve customers, improve worker productivity, adapt or reinvent products and services in order to find new routes to market […]

Talend Connect 2017: Architecting Your Data-Driven Future

  Companies are becoming increasingly aware that they have a goldmine in their hands – their data. For all businesses, the situation is clear – their future depends on how quickly and efficiently they can turn data into accurate insights. It is no longer a matter of simply collecting and managing data either; rather, it’s about quickly […]

The New Era of Data Apps

It is no secret that data has been exploding in virtually every facet of every industry – from Financial Services, Manufacturing, Retail, and Biotechnology to Telecom, Healthcare, Transportation, and Energy. In fact, data created in the previous two years was greater than the previous 5,000 years of humanity and 2017 will create even more data […]

Making the World a Better Place, One Mogo at a Time

  In a recent post, I brought up a very serious issue that every data-driven business is now grappling with: how to calibrate the “virtue” of data. In other words, when is it ethical to use all the vast volumes of data we now have access to, and when is it not? Should companies use […]