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Event Streaming

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9 results found

  1. Support RocksDB as a persistent data store for Flink

    As an engineer I need be able to run larger state Flink jobs in order to meet my data processing requirements

    2 votes

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  2. As a non-technical user
    I want to be able to aggregate and join different streams of data
    without the need of developers

    1 vote

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    Shelved  ·  Jonah Kowall responded

    This function will largely be replaced by ChatGPT or other LLMs which can generate clear code and instructions, making a visual builder unnecessary. 

  3. As a data engineer
    I want to use my integrate my existing Datadog subscription with Flink
    so that I can store and monitor all metrics across my stack in a single location.
    In addition, this functionality is already available on other services in Aiven

    3 votes

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  4. As a developer I want to be able to read and write data to my S3 object storage, in order to simply integrate Flink into my existing data architecture. Using Flink to read data from S3, transform it, and then write to another S3 location allows easy consolidation and data quality management in a common reference data architecture.

    0 votes

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  5. As a developer, I need to be able to read and write from Databricks so that I can complement my existing data architecture

    2 votes

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  6. As a developer, I need Flink to be able to automatically increase compute resources to a self-defined threshold to seamlessly process significant increases in traffic in order to maintain performance. This increase in traffic would be for either a permanently higher workload, or for a temporary pre-defined amount of time, and would be triggered by a customer request, with subsequent additional billing impacts

    2 votes

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  7. As a developer I would like to push the output of a Flink operation to an HTTP API sink.

    3 votes

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  8. As a Developer I want to use Pyflink library with Aiven for Apache Flink so that I can directly use it in my project.

    7 votes

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  9. As a developer,
    I want to be able to upload my custom code (JARs),
    so that I can use it to build sophisticated or non-standard use-cases in Flink and Kafka Connect,
    In addition, I can keep custom implementation private.

    52 votes

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