How to future proof your big data analytics architecture0
Davy Nys, Vice President EMEA & APAC bei Pentaho gibt uns im Vorfeld unseres Big Data Analytics Days in Hamburg (02.07.) im Interview einen Einblick in seine Big Data-Welt und einen Ausblick auf seinen Vortrag:
Q: Who are you?
Davy Nys, Vice President EMEA & APAC at Pentaho…the janitor of our European business you could say.
Q: What fascinates you about Big Data Analytics?
Two things really: One that it challenges several decades of how businesses were supposed to handle their data. We’re going from a very rigid and structured world of data warehouses, to open data stores ready to answer virtually any question. And secondly, the transformational potential it has to a company. New revenue streams – including the one of data itself – are being generated.
Q: What will be your topic at the Big Data Analytics Day? What will be your core subject and why is this important for you?
I will talk about a reference big data architecture and how you should future proof such an architecture, both from the technologies you may want to use as from the business requirements you may want and need to support. As part of this I will also cover typical use cases you can deliver using this architecture so people can identify opportunities within their own organization.
Q: What are your interests besides Big Data Analytics?
Small Data Analytics and Embedded Analytics…the two other types of projects we do for Pentaho clients.