It explains what we see is coming, at a high level, from long time Oracle database professionals’ viewpoint and using database terminology (as the E4 audience is all Oracle users like us).
However, this change is not really about Oracle database world, it’s about a much wider shift in enterprise computing: modern Hadoop data lakes and clouds are here to stay. They are already taking over many workloads traditionally executed on in-house RDBMS systems on SAN storage arrays – especially all kinds of reporting and analytics. Oracle is just one of the many vendors affected by all this and they’ve also jumped onto the Hadoop bandwagon.
However, it would be naive to to think that Hadoop would somehow replace all your transactional or ERP systems or existing application code with thousands of complex SQL reports. Many of the traditional systems aren’t going away any time soon.
But the hybrid world is coming. It’s been a very good idea for Oracle DBAs to additionally learn Linux over the last 5-10 years, now is pretty much the right time to start learning Hadoop too. More about this in a future article ;-)
Check out the keynote video here:
Update 1: There’s a recently published good WSJ article which pretty much echoes how we see things happening in the hybrid world.
Update 2: On a more technical note, here’s an article about a Barclays use case in Cloudera blog that illustrates what I meant by pushing your complex (and custom) logic down into Hadoop stack with Spark as opposed to using some separate application server system that pulls in datasets for further processing via SQL.
NB! If you want to move to the "New World" - offload your data and workloads to Hadoop, without having to re-write your existing applications - check out Gluent. We are making history! ;-)