Apache Hadoop is getting more and more relevant. Not just for big data processing (e.g. MapReduce), but also in fast data processing (e.g. stream processing). Recently, I published two blog posts on the TIBCO blog to show how you can leverage TIBCO BusinessWorks 6 and TIBCO StreamBase to realize big data and fast data Hadoop use cases.
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, distributions, and tooling (i.e. big data suites).
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