Podcast
Episode #4 - Deciphering the Data Mesh and Data Fabric: Where Confluent Fits
Explore the differences between Data Mesh & Data Fabric structures.
Episode Summary
In the rapidly evolving landscape of data management, the concepts of data mesh and data fabric are gaining prominence as innovative architectural styles designed to harness the full potential of data across organisations.
In episode #4 from this Confluent podcast series, the discussion between John and Italo sheds light on the distinctions and synergies between the two, with a focus also on the role Confluent plays in enabling these architectures.
Data mesh, highlighted for its approach of treating data as a product, emphasises the importance of domains (or departments) producing high-quality, event-driven data that adheres to predefined contracts, thus fostering a decentralised governance model where data ownership lies with the producers. Confluent enhances this model through its cloud platform, offering tools for ensuring data quality and compliance with governance standards.
On the other hand, data fabric is introduced as a unifying layer that simplifies the ingestion and sharing of data from diverse sources, such as IoT devices, making it a critical component for organisations seeking to streamline their data infrastructure.
Through this exploration, Confluent emerges as a versatile solution that supports the structured, quality-focused environment of a data mesh, and the interconnected, seamless nature of a data fabric, demonstrating its crucial role in modern data strategies.
In episode #4 from this Confluent podcast series, the discussion between John and Italo sheds light on the distinctions and synergies between the two, with a focus also on the role Confluent plays in enabling these architectures.
Data mesh, highlighted for its approach of treating data as a product, emphasises the importance of domains (or departments) producing high-quality, event-driven data that adheres to predefined contracts, thus fostering a decentralised governance model where data ownership lies with the producers. Confluent enhances this model through its cloud platform, offering tools for ensuring data quality and compliance with governance standards.
On the other hand, data fabric is introduced as a unifying layer that simplifies the ingestion and sharing of data from diverse sources, such as IoT devices, making it a critical component for organisations seeking to streamline their data infrastructure.
Through this exploration, Confluent emerges as a versatile solution that supports the structured, quality-focused environment of a data mesh, and the interconnected, seamless nature of a data fabric, demonstrating its crucial role in modern data strategies.
Additional Resources
Webinar: GenAI and Data Streaming Platforms (DSPs)
23rd May - Discover how Generative AI and Data Streaming Platforms can open up new business opportunities!
Introducing the Migration Accelerator Programme
Streamline the transition from traditional messaging systems or open-source Kafka deployments to Confluent!
Simplify Stream Processing with Serverless Apache Flink
Experience a new, unified programming interface that seamlessly merges stream and batch processing.
Interested in Confluent?
Somerford has a skilled team of Confluent certified consultants.
