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DataOps

DataOps is an automated, process-oriented methodology, used by analytic and data teams, to improve the quality and reduce the cycle time of data analytics. While DataOps began as a set of best practices, it has now matured to become a new and independent approach to data analytics. DataOps applies to the entire data lifecycle from data preparation to reporting, and recognizes the interconnected nature of the data analytics team and information technology operations.

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This project serves as a showcase to demonstrate the implementation of data streaming pipeline. It highlights the integration of key technologies like Apache Kafka for data streaming, Apache Spark for real-time data processing. The project aims to provide a comprehensive example of building and deploying real-time data processing applications.

  • Updated Jul 15, 2024
  • Smarty
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open-data