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In 27+ years in Tech, I’ve lived through multiple ‘new paradigms’ incl. Dot.com, Digital, Cloud, SaaS, Big Data, AI/ML, and more. Equally as significant, Data Streaming is emerging into the mainstream.

- Like all new paradigms, this requires IT leaders to adopt a new mindset. Software requires a fundamental change in engineering; a ‘shift-left’ from processing static data in old data stores, to stream-processing data-in-motion.

 

Could the Data Streaming Platform (DSP) be more critical to business than the database has been?

- I think so... and this blog is dedicated to this idea.

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My expertise: Enterprise IT / Value Propositions / IT Strategy, Operating Models & Transformation. 

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For the past 7 years, I've worked at Confluent::

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• Confluent solves one of the most important problems in business — unlocking value from data.​

  • ​​Our Data Streaming Platform (DSP) enables companies to connect, store, process, govern, and share data throughout an organisation so businesses can build smart, real-time applications.​   

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At Confluent, we are working to put our DSP at the heart of every company.

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Confluent helps because: 

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• The best way of managing data products, is as real-time and streamed data products in a DSP.​

• Data infrastructure modernisation (via a DSP) is critical for AI transformations. 

• A DSP can help companies drastically reduce the costs and risks of managing data.