16 Jun, 2022 | Community

The Stream — June 2022 edition

The June 2022 edition of The Stream: covering this month in stream processing on the internet.

Words by
Mike Rosam, CEO & Co-Founder
The Stream June 2022

The potential of stream processing never ceases to amaze me.

We’ve already written about how stream processing enables extensive personalization of commercial products and lets businesses get the most up-to-date information to the people who need it most. In an effort to improve the lives of individuals and societies, teams have employed stream processing to increase the effectiveness of donations, help doctors deliver tailored healthcare, make cities safer and match people to the resources they need. The Quix team has even demonstrated that stream processing makes machines more human.

But that’s just the beginning. I’ve recently learned more about the application of stream processing to time-series data in national security and disaster prevention. Michael Debouver, a cloud architect at Airbus, recently explained how his team built a streaming architecture that ingests, moves and makes sense of satellite data during an environmental catastrophe. The system doesn’t even involve the internet, and it doesn’t lag for even two seconds. That way emergency services know how to direct people to safety and create accurate rescue plans. Other researchers are discovering connections between armed conflicts and climate change through time-series data and machine learning. Who knows what’s coming next?

Empowering products and people to immediately respond to data can save lives. I’m honored that Quix offers one piece of the puzzle to make that possible.

Modelling armed conflict risk under climate change

Can time-series data help researchers understand the relationship between armed conflicts and climate change? Yes.

Find out how by reading “Modelling armed conflict risk under climate change with machine learning and time-series data.”

Learn more
Big data london

We’re gathering at Big Data London — get your tickets now!

If you’re in London September 21-22, come meet other stream enthusiasts at Quix’s booth at Big Data London.

Join us →

Decodable Streaming with Eric Sammer

Decodable Streaming with Eric Sammer

Decodable Founder @esammer recently sat down with the @software_daily podcast to talk about stream processing and its role in modern data platforms.

Give it a listen →

Blog 191 feature

To stream, or not to stream? A conversation about when to use (and how we built) stream processing systems

Watch two Quix founders discuss stream processing at McLaren F1 and pick up some helpful information about data processing along the way.

Check it out →

More insights


Join The Stream community, where you’ll find developers, engineers and scientists supporting each other while working on streaming projects.

Join us
words by
Mike Rosam, CEO & Co-Founder

Mike Rosam is Co-Founder and CEO at Quix, where he works at the intersection of business and technology to pioneer the world's first streaming data development platform. He was previously Head of Innovation at McLaren Applied, where he led the data analytics product line. Mike has a degree in Mechanical Engineering and an MBA from Imperial College London.

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