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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

"The important thing is not to stop questioning. Curiosity has its own reason for existing" Einstein



Showing posts with label Cloudera. Show all posts
Showing posts with label Cloudera. Show all posts

Friday, 16 August 2019

Database Trends Awards




Database Trends and applications have names have listed the best relational database and best big data platform.






Best relational database: SQL Server
"According to Craig S. Mullins, president & principal consultant, Mullins Consulting, Inc, relational continues to dominate: IDC forecasts that relational DBs will still account for more than 80% of the total operational database market through 2022, and Gartner forecasts that through 2020, relational technology will continue to be used for at least 70% of new applications and projects."

Best big data platform: Cloudera Enterprise Data Cloud

"To leverage the immense power of their data, organizations need a solid strategy that incorporates everything from security to data governance to the right big data technologies. Enabling both on-prem and cloud deployments—or a hybrid strategy—big data platforms today support data warehouses, data lakes, data science, engineering, machine learning, myriad database management systems, and much more.  And while Hadoop is a key element of big data platforms today, there are also many other open source components, support capabilities, and advanced features that round out a big data platform to give data-driven companies the big data capabilities they need"

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.


Friday, 4 January 2019

From the Edge to AI

Hortonworks completed their merger with Cloudera to make them the second largest open source software company in the world. The company is now called Cloudera. The combined platform will enable enterprises to create greater value from data with:

  • The right data analytics, running on data anywhere
  • Strong enterprise-grade and enterprise-wide data security, governance and management
  • Flexibility to choose among multi and hybrid clouds

There is a virtual event on 10 January from the edge to AI to hear about their vision and direction.