My Big Data predictions for 2016

As 2016 is around the corner, the question is what this year will bring for Big Data. Here are my top assumptions for the year to come:

  • The growth for relational databases will slow down, as more companies will evaluate Hadoop as an alternative to classic rdbms
  • The Hadoop stack will get more complicated, as more and more projects are added. It will almost take a team to understand what each of these projects does
  • Spark will lead the market for handling data. It will change the entire ecosystem again.
  • Cloud vendors will add more and more capability to their solutions to deal with the increasing demand for workloads in the cloud
  • We will see a dramatic increase of successful use-cases with Hadoop, as the first projects come to a successful end

What do you think about my predictions? Do you agree or disagree?

Big Data and Hadoop E-Books at reduced price

2 Big Data and Hadoop E-Books are available at a special promotion. The reduced price is only valid for 1 week, so make sure to order soon! The offer expires on 21th of December and are available on the Kindle store. The two E-Books are:

  • Big Data (Introduction); 0.99$ instead of 5$: Get it here
  • Hadoop (Introduction); 0.99$ instead of 5$: Get it here

Have fun reading it!

My Cloud predictions for 2016

2016 is around the corner and the question is, what the next year might bring. I’ve added my top 5 predictions that could become relevant for 2016:

  • The Cloud war will intensify. Amazon and Azure will lead the space, followed (with quite some distance) by IBM. Google and Oracle will stay far behind the leading 2+1 Cloud providers. Both Microsoft and Amazon will see significant growth, with Microsoft’s growth being higher, meaning that Microsoft will continue to catch up with Amazon
  • More PaaS Solutions will arrive. All major vendors will provide PaaS solutions on their platform for different use-cases (e.g. Internet of Things). These Solutions will become more industry-specific (e.g. a Solution specific for manufacturing workflows, …)
  • Vendors currently not using the cloud will see declines in their income, as more and more companies move to the cloud
  • Cloud Data Centers will become more often outsourced from the leading providers to local companies, in order to overcome local legislation
  • Big Data in the Cloud will grow significantly in 2016 as more companies will put workload to the Cloud for these kind of applications

What do you think? What are your predictions?