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Will real-time data processing replace batch processing?
At Confluent's user conference, Kafka co-creator Jay Kreps argued that stream processing would eventually supplant traditional methods of batch processing altogether.
Absolutely: Businesses operate in real-time and are looking to move their IT systems to real-time capabilities.
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Eventually: Enterprises will adopt technology slowly, so batch processing will be around for several more years.
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No way: Stream processing is a niche, and there will always be cases where batch processing is the only option.
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AUTHOR PROFILE
Chip Childers
Chip Childers

Chip has spent 20 years in large-scale computing and open source software. In 2020, he took over as Executive Director at Cloud Foundry Foundation, which he co-founded in 2015. He was the first VP of Apache Cloudstack, a platform he helped drive while leading Enterprise Cloud Services at SunGard and then as VP Product Strategy at Cumulogic. Prior to SunGard, he led the rebuild of mission-critical applications for organizations including IRS.gov, USMint.gov, Merrill Lynch and SEI Investments. Chip is an experienced speaker at events like OSCON, LinuxCon North America, LC Japan, LC EU, ApacheCon, O’Reilly Software Architecture Conference, and many more. In his free time, Chip loves trail hiking with his black lab, sailing catamarans and sunfish, and trying to keep up with his young daughter.

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What the Kubernetes Consolidations Mean for the Future of Cloud Native
The Human Side of Digital Transformation: 7 Recommendations and 3 Pitfalls (Part 2)
The Human Side of Digital Transformation: 7 Recommendations and 3 Pitfalls
Why Serverless Is Being Adopted at a Faster Rate than Expected
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2018: The Year of Kubernetes and Interoperability
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Living in a Multicloud World: Bosh, Kubo and the Open Service Broker API
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Of Pies and Platforms: Platform-as-a-Service vs. Containers-as-a-Service
Cloud Foundry’s Service Broker API Role in Kubernetes and Open Source Platforms