In March 2013, I was at 33rd Degree – “A Conference for Java Masters”. I had two talks, including a new one: “You are not Facebook or Google? Why you should still care about Big Data”. It is a great talk to give an overview about big data, especially from a business perspective (paradigm shift, business value, challenges). However, I also talk about alternatives for big data from a technology perspective, mainly about the defacto standard Apache Hadoop, its ecosystem (Hive, Pig, HBase, Oozie, Sqoop, etc.), distributions (Cloudera, Hortonworks, MapR), and tooling (i.e. big data suites, e.g. Talend, Informatica, Oracle, IBM).
I want to share the slides with you:
Click on the button to load the content from www.slideshare.net.
As always, I appreciate every feedback, questions and other comments…
Best regards,
Kai Wähner (Twitter: @KaiWaehner)
Batch processing introduces delays, complexity, and data quality issues that modern businesses can no longer…
Modernizing legacy systems doesn’t have to mean a risky big-bang rewrite. This blog explores how…
Retail media is reshaping digital advertising by using first-party data to deliver personalized, timely ads…
Legacy OT middleware is struggling to keep up with real-time, scalable, and cloud-native demands. As…
The CIO Summit in Amsterdam provided a valuable perspective on the state of AI adoption…
Cathay Pacific is evolving beyond aviation, rebranding as Cathay to offer a seamless travel and…