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#apacheflink — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #apacheflink, aggregated by home.social.

  1. #Pinterest launched a next-gen CDC-based ingestion framework.

    Using #ApacheKafka, #ApacheFlink, #ApacheSpark & #ApacheIceberg, they achieved:
    • Latency cut from 24+ hours to 15 minutes
    • Processing of only changed records
    • Support for incremental updates & deletions
    • Petabyte-scale data across 1,000+ pipelines

    Win: optimized cost & efficiency!

    Read the architectural deep dive on InfoQ 👉 bit.ly/4rMJB2H

    #SoftwareArchitecture #ChangeDataCapture

  2. It's #qcon London!!
    We're here with a booth and talks on #ZeroTrust and #apacheflink.
    Also meeting old friends Nf colleagues!

  3. Atlassian introduced Lithium - an in-house #ETL platform designed to meet the requirements of dynamic data movement.

    Lithium simplifies cloud migrations, scheduled backups, and in-flight data validations with ephemeral pipelines and tenant-level isolation - ensuring efficiency, scalability & cost savings.

    📢 InfoQ spoke with Niraj Mishra, Principal Engineer at Atlassian, about Lithium’s implementation and future.

    🔗 Read more here: bit.ly/415RPYZ

    #DataPipelines #KafkaStreams #ApacheKafka #ApacheFlink #SoftwareArchitecture

    #InfoQ

  4. I'm at the streaming data summit and Taylor Swift is the topic of the conversation.
    What is Taylor Swift to us?
    A traffic spike!
    #apachepulsar #apacheflink

  5. #CaseStudy - Discover how #Yelp reworked its data streaming architecture with #ApacheBeam & #ApacheFlink!

    The company replaced a fragmented set of data pipelines for streaming transactional data into its analytical systems, like Amazon Redshift and in-house data lake, using Apache data streaming projects to create a unified and flexible solution.

    Dive into the details: bit.ly/3WgkTL7

    #InfoQ #SoftwareArchitecture #EventDrivenArchitecture #DataPipelines #Streaming

  6. I find to be a real problem with , particularly online. Do others find the same and, if so, how do you deal with it?

    As an example, I sat down to dig into but that led to , which lead to the Astronomer.io service, which led to . By the end of the day I’d had a great overview of some really neat stuff but was not better positioned to be productive in Superset than I was at the start of the day.

  7. #Current23 is the next generation of #KafkaSummit, so expect some #apacheKafka talks. But there's room for everyone! #apacheDruid, #apacheFlink, #ETL, #dataMesh, #machineLearning, #IoT, #databases...

    We have room for talks on the unique #devops challenges of monitoring and managing any of these systems; talks on #sociotechnical impact of rearchitecting your business for streaming; #streaming in academia; and just plain fun and geeky sessions.

    The list goes on and on!

  8. You can then use #LogicalDecoding - #Postgres’ change data capture capability - to retrieve the messages from write-ahead log (WAL), process them, and relay them to external consumers.

    In this #InfoQ article, Gunnar Morling explores how to take advantage of this feature for implementing three different use cases:
    ✅ Propagating data between microservices via the #OutboxPattern
    #ApplicationLogging
    ✅ Enriching #AuditLogs with metadata

    Learn more: bit.ly/3ZiMZnH

    #Debezium #ApacheFlink #Microservices

  9. No more centralized schema committees or custom code to maintain, just the data you need in the format you want, when you need it.

    bit.ly/33Nayxx #ApachePulsar #ApacheKafka #ApacheFlink