BI and Big Data: Stick with the Classics - or Change Your Approach? - Seguridad Mania.com - España y América Latina

Apache Hadoop and Apache Spark are two leading Big Data platforms, and they’ve finally gone mainstream. That’s both good news and bad, because with mainstream use comes scrutiny. And in scrutinizing Big Data, some organizations are finding internal adoption - and thus ROI - is low. That’s a normal part of a technology’s adoption cycle, of course. But what’s the best response?

One approach has been to craft technologies that mesh the "old" -- Business Intelligence (BI) - with the "new" - Big Data. Relational Data Warehousing on Hadoop and OLAP on Hadoop are prime examples. Another approach has been to build Modern BI tools that are intuitive to business users but which use the new technologies in fundamentally new ways, without making them emulate older platforms. Is one approach more correct that the other?

In this webinar, you will learn:

•     How Data Warehousing on Hadoop and OLAP on Hadoop tools work

•     How Modern BI tools’ approaches differ

•     In the bonus track, we will provide a demo of how to use a Modern BI tool to do free-form analysis. We’ll also see how such a product can provide Data Warehouse - and OLAP-like functionality when required