Hadoop and Data Warehouse–Friends, Enemies or Profiteers? What about Real Time?

Our next meetup will take place on 4th February 2015 from 19:00 onwards.

NoSQL User Group Cologne will welcome you with free beer, soft drinks and snacks. The entrance is also for free.

Please let us know if you are coming, so we have time to stock up.

This time Kai Wähner from TIBCO will tell us about:

"Hadoop and Data Warehouse – Friends, Enemies or Profiteers? What about Real Time?"

Abstract:

Big data represents a significant paradigm shift in enterprise technology. Big data radically changes the nature of the data management profession as it introduces new concerns about the volume, velocity and variety of corporate data. Apache Hadoop is becoming the de facto standard for implementing big data solutions. For that reason, solutions from many different vendors emerged on top of Hadoop. But hold on… Companies have spent a lot of many to implement a Data Warehouse for the same reason in the last decades. Both, Apache Hadoop and Data Warehouse were invented to store and analyze big data. Besides, many different NoSQL alternatives emerged on the market.

This session takes a look at several real world use cases to explain the different usage scenarios of Apache Hadoop, a Data Warehouse and other NoSQL alternatives such as Apache Storm, Apache Spark or In-Memory Data Drids. The following questions will be answered: When to use which alternative? How to combine these alternatives? Does a data warehouse even have a future at all? What about real time processing?

The presentation can be done in English or in German depending on the wishes of our attendees.

Bio:

Kai Wähner works as Technical Lead at TIBCO. His main area of expertise lies within the fields of Application Integration, Big Data, Analytics, SOA, BPM, Cloud Computing and Enterprise Architecture Management. He is speaker at international IT conferences such as JavaOne, ApacheCon or OOP, writes articles for professional journals, and shares his experiences with new technologies on his blog ( http://www.kai-waehner.de/blog ).

Contact: kontakt [at] kai-waehner [.] de or Twitter: @KaiWaehner. Find more details and references (presentations, articles, blog posts) on his website: http://www.kai-waehner.de