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www.decodable.co | ||
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lakefs.io
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| | | | | Explore data pipeline automation and boost business growth through enhanced data quality, efficiency, and scalability. Learn how to streamline data management. | |
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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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jack-vanlightly.com
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| | | | | In part 1, we described distributed computation as a graph and constrained the graph for this analysis to microservices, functions, stream processing jobs and AI Agents as nodes, and RPC, queues, and topics as the edges. Within our definition of The Graph, a node might be a function (FaaS or microservice), a stream processing job, an AI Agent, or some kind of third-party service. An edge might be an RPC channel, a queue or a topic. For a workflow to be reliable, it must be able to make progress despite failures and other adverse conditions. Progress typically depends on durability at the node and edge levels. | |
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www.kevinrchant.com
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| | | I want to cover my experiments to use Azure DevOps with Azure Synapse Analytics SQL Pools. Because spent some time on it. - Kevin Chant | ||
