what is intel smart connect technology do i need it

𝟴: Modeled and Curated data is pushed to the Feature Store System for further Feature Engineering. 𝟳: On a schedule Data in the Object Storage is validated against additional SLAs contained in Data Contract Metadata and is pushed to the Data Warehouse to be Transformed and Modeled for Analytical purposes. 𝟲: Data from the Validated Data Topic is pushed to object storage for additional Validation. 𝟱: Data that meets the contract is pushed to Validated Data Topic. 𝟰: Data that does not meet the contract is pushed to Dead Letter Topic. 𝟯: A Flink Application(s) consumes Data from Raw Data streams and validates it against schemas in the Contract Registry. 👉 This also includes IoT Fleets and Website Activity Tracking.

𝟮: Events emitted directly by the Application Services. 𝟭: Schema changes are implemented using version control, once approved - they are pushed to the Applications generating the Data, Databases holding the Data and a central Data Contract Registry.Īpplications push generated Data to Kafka Topics. ➡️ Improve scalability of your Data Systems.

➡️ Enforce Ownership of produced data closer to where it was generated. ➡️ Prevent Data Processing Pipelines from unexpected outages. ➡️ Ensure Quality of Data in the Downstream Systems. How to ensure 𝗗𝗮𝘁𝗮 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗶𝗻 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 by Aurimas Griciūnas ♾ (Give him a follow!)ĭata Contract is an agreement between Data Producers and Data Consumers on what the Data being produced should look like, what SLAs it should meet and the semantics of it.

What is intel smart connect technology do i need it