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Passionately curious about Data, Databases and Systems Complexity. Data is ubiquitous, the database universe is dichotomous (structured and unstructured), expanding and complex. Find my Database Research at SQLToolkit.co.uk . Microsoft Data Platform MVP

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Thursday, 10 January 2019

Cloudera vision and strategy

Today the joint vision for the new Cloudera was shared. It was interesting to hear their strategy going forward. I was expecting to hear something revolutionary and new but seems very much the same as other companies at the moment.

Here is a summary of the points.

They will be the only provider to run across all cloud providers Azure, AWS, Google Cloud, IBM and Oracle. Both companies had the same vision to make the impossible possible, to transform data into clear and actionable insights and be committed to open source to give flexibility to its customers.
Cloudera want to

  • Invest in real time streaming at the edge
  • Be enterprise grade
  • Cloud native
  • A data warehouse
  • Provide AI industrialization
  • To deliver the industries first enterprise data cloud

They are developing the next generation platform called the Cloudera Data Platform. It will consist of


100% open source
The best of HDP3 + CDH 6
Hybrid and multi-cloud
Unified, from the edge to AI
Supported through till at least January 2022
Provide predictable and flexible migration paths
To separate compute and storage using technologies like Kubernetes
Have a consistent security ecosystem




There are two application changes:

The Cloudera Data Science workbench will now work with HDP.












HDF to work with CDH

Cloudera talked about the industrialization of AI which requires strategy, people and organization, security,governance and compliance and technology for an enterprise grade AI operation.

Cloudera have launched a new machine learning powered platform by Kubernetes. It is in preview.


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