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#udfs β€” Public Fediverse posts

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

  1. πŸŸͺ Exploring User-Defined Functions in Power Apps πŸš€

    Power Apps has taken a leap forward with User-Defined Functions (UDFs), enabling developers to enhance their Canvas Apps like never before. πŸ’‘

    β€’ Reuse logic across your app without redundancy, boosting efficiency.
    β€’ Update functions once and see changes reflected everywhere instantly.
    β€’ Encapsulate logic into easy-to-read functions, improving code clarity.

    β–ΆοΈŽhubsite365.com/en-ww/citizen-d

    What custom functions would transform your app development? Share your thoughts!
    #PowerApps #AppDevelopment #Innovation #UDFs

  2. ⚑ Process streaming data with #PyFlink + #FlinkSQL.

    See how to build pipelines using PyFlink Table API, #UDFs & #SQLβ€”no JVM needed. Watch Diptiman Raichaudhuri demo windowing, event time processing & real-time #Kafka stream ingestion.

    πŸŽ₯ Click here: youtu.be/PnpHp3Y12xw
    #StreamProcessing #FOSSASIA #OpenSource

  3. ⚑ Process streaming data with #PyFlink + #FlinkSQL.

    See how to build pipelines using PyFlink Table API, #UDFs & #SQLβ€”no JVM needed. Watch Diptiman Raichaudhuri demo windowing, event time processing & real-time #Kafka stream ingestion.

    πŸŽ₯ Click here: youtu.be/PnpHp3Y12xw
    #StreamProcessing #FOSSASIA #OpenSource

  4. ⚑ Process streaming data with #PyFlink + #FlinkSQL.

    See how to build pipelines using PyFlink Table API, #UDFs & #SQLβ€”no JVM needed. Watch Diptiman Raichaudhuri demo windowing, event time processing & real-time #Kafka stream ingestion.

    πŸŽ₯ Click here: youtu.be/PnpHp3Y12xw
    #StreamProcessing #FOSSASIA #OpenSource

  5. ⚑ Process streaming data with #PyFlink + #FlinkSQL.

    See how to build pipelines using PyFlink Table API, #UDFs & #SQLβ€”no JVM needed. Watch Diptiman Raichaudhuri demo windowing, event time processing & real-time #Kafka stream ingestion.

    πŸŽ₯ Click here: youtu.be/PnpHp3Y12xw
    #StreamProcessing #FOSSASIA #OpenSource

  6. ⚑ Process streaming data with #PyFlink + #FlinkSQL.

    See how to build pipelines using PyFlink Table API, #UDFs & #SQLβ€”no JVM needed. Watch Diptiman Raichaudhuri demo windowing, event time processing & real-time #Kafka stream ingestion.

    πŸŽ₯ Click here: youtu.be/PnpHp3Y12xw
    #StreamProcessing #FOSSASIA #OpenSource

  7. RT @hpgrahsl

    Finally I released the long overdue v0.3.0 for #Kryptonite4Kafka which adds #ksqlDB #UDFs to do field-level πŸ”’ cryptography πŸ”“ in #SQL.

    Basic documentation here github.com/hpgrahsl/kryptonite

    Also it's the last release before introducing the #HttpAPI as a new integration option.

  8. RT @hpgrahsl

    Finally I released the long overdue v0.3.0 for #Kryptonite4Kafka which adds #ksqlDB #UDFs to do field-level πŸ”’ cryptography πŸ”“ in #SQL.

    Basic documentation here github.com/hpgrahsl/kryptonite

    Also it's the last release before introducing the #HttpAPI as a new integration option.

  9. RT @hpgrahsl

    Finally I released the long overdue v0.3.0 for #Kryptonite4Kafka which adds #ksqlDB #UDFs to do field-level πŸ”’ cryptography πŸ”“ in #SQL.

    Basic documentation here github.com/hpgrahsl/kryptonite

    Also it's the last release before introducing the #HttpAPI as a new integration option.

  10. RT @hpgrahsl

    Finally I released the long overdue v0.3.0 for #Kryptonite4Kafka which adds #ksqlDB #UDFs to do field-level πŸ”’ cryptography πŸ”“ in #SQL.

    Basic documentation here github.com/hpgrahsl/kryptonite

    Also it's the last release before introducing the #HttpAPI as a new integration option.

  11. RT @hpgrahsl

    Finally I released the long overdue v0.3.0 for #Kryptonite4Kafka which adds #ksqlDB #UDFs to do field-level πŸ”’ cryptography πŸ”“ in #SQL.

    Basic documentation here github.com/hpgrahsl/kryptonite

    Also it's the last release before introducing the #HttpAPI as a new integration option.