What are common use cases for Data Flow Platform

What are common use cases for Data Flow Platform

Example use cases for Data Flow Platform

Data Ingestion

Stream Data Ingestion
Ingest data in real-time as they arrive. Good for real-time data-driven decision processing for improving customer experience, minimizing fraud, and optimizing operations and resource utilization.

Bulk Data Ingestion
Ingest blocks of data that have already been stored over a period of time. It is often used when dealing with huge amounts of data and/or when data sources are legacy systems that cannot deliver data in streams.

Bulk Ingestion is suitable when:
  • Data freshness is not a mission-critical issue
  • You are working with large datasets and are running a complex algorithm that requires access to the entire batch – e.g., sorting the entire dataset.
  • You get access to the data in batches rather than in streams
  • When you are joining tables in relational databases
Data Replication
Replicate data from one data repository to another data repository. For example, replicate MySQL data to Postgres in real-time using Change Data Capture.

Data Synchronization between multiple data centers/clouds 
Synchronize datasets from one data repository to another or between multiple data centers or Clouds.


    • Related Articles

    • What are common use cases for Data Transformation Platform

      Example use cases for Data Transformation Platform Data Streaming Streaming data is the continuous flow of data generated by various sources. The data streaming can be processed, stored, analyzed, and acted upon when generated in real-time. The data ...
    • What are common use cases for Data Lake Platform

      Example use cases for Data Lake Platform Provides a managed service using Kubernetes for delivering a set of integrated solutions (Data Flow, Data Transformation, Data as a Service) that ingests data from multiple data sources into a Data Lake. ...
    • What are common use cases for Microservice+ Platform

      Example use cases for Microservice+ Platform: Legacy applications refactoring Enterprises often decide to rebuild their IT capabilities to change the functionality, add some new features, move to the Cloud, or conduct global system modernization. ...
    • What are common use cases for Elastic Stack+ Platform

      Example use cases for Elastic Stack+ Platform Logging and Log Analysis The ecosystem built up around Elasticsearch has made it one of the easiest to implement and scale logging solutions. From Beats to Logstash to Ingest Nodes, Elasticsearch gives ...
    • What are common use cases for Kafka+ Platform

      Example use cases for Kafka+ Platform Messaging Kafka works well as a replacement for a more traditional message broker. Message brokers are used for various reasons, such as decoupling processing from data producers, buffering unprocessed messages, ...