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www.decodable.co | ||
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www.onehouse.ai
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| | | | | The Lambda architecture has been widely used to handle both batch and real-time data streams. However, as organizations seek more efficient and scalable solutions to keep up with exploding data volumes, they find the limitations of Lambda architectures. Check out this summary of a recent talk on Apache Beam from David Regalado, Engineering VP at a stealth-mode startup and Google Cloud Champion Innovator. | |
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dennyglee.com
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| | | | | A common approach to developing data pipelines is to use Structured Streaming (aka Spark Structured Streaming) with Delta Lake. This allows you to perform near-real data processing using the same APIs for batch processing. All of this is on top of Delta Lake to ensure the transactional consistency of your data. With Project Lightspeed, Structured [...] | |
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www.ververica.com
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| | | | | Discover Fluss, a unified streaming storage solution for Apache Flink, revolutionizing real-time data processing and analytics with sub-second latency. | |
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www.altexsoft.com
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| | | MLOps or Machine Learning Operations is a framework that addresses the complexities of deploying and updating AI products at scale. Let's check how it works. | ||
