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.

GitHub announces free private repositories

GitHub has made two announcements to start the new year off.

• Unlimited free private repositories for up to three collaborators per repository
• GitHub Enterprise is the new unified product for Enterprise Cloud (formerly GitHub Business Cloud) and Enterprise Server (formerly GitHub Enterprise).

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.

Microsoft Ignite | The Tour

The Microsoft Ignite | The Tour is at ExCeL in London 26-27 February 2019.

This conference is travelling round world to enable us to learn new ways to code, optimise your cloud infrastructure, and modernise your organisation with deep technical training.

Happy New Year 2019

Microsoft Power BI Roadmap

Microsoft have created a new Power BI roadmap site. The public product roadmap provides a glimpse into what will be made available in the next wave of product updates.

There roadmap priorities are: 

• Unified platform for both self-service and enterprise B; to enable organizations to create a unified, scalable, global, governed, and secured BI platform.
• Agile, self-service data prep with big data; to facilitate collaboration and reusability among business analysts, data engineers, and data scientists.
• Pervasive application of AI; to make it easier for business users to determine what truly matters, by automatically uncovering hidden insights and identifying key drivers.

Microsoft Connect() 2018

Microsoft shared yet more innovations at Connect()2018 which considered ubiquitous computing and the fact that technology is transforming business.

Watch the keynote and many other sessions.

They announced the general availability of Azure Machine Learning service, which enables developers and data scientists to efficiently build, train and deploy machine learning models.

Azure Kubernetes Service (AKS) virtual node public preview was announced for serverless Kubernetes. This new feature enabled you to elastically provision additional compute capacity in seconds.