Designing Robust Data Pipeline with Databricks -- 2
Budget: €250 – €750 EUR
Building a Data Pipeline with Delta Live Tables and Databricks Asset Bundles
Description:
This project focuses on designing and deploying a robust data pipeline using Delta Live Tables (DLT) on Databricks. The pipeline ensures high data quality through defined expectations within DLT or an equivalent framework. Once the pipeline is developed and validated, it will be deployed using Databricks Asset Bundles, enabling seamless and scalable management of data workflows.
The project will cover the following steps:
Pipeline Development with Delta Live Tables: Creating ETL pipelines to process and transform data incrementally.
Data Quality Assurance: Implementing expectations to validate and monitor data at every stage of the pipeline.
Deployment with Databricks Asset Bundles: Packaging and deploying the pipeline for operational use in production environments.
This project demonstrates end-to-end pipeline lifecycle management on Databricks, emphasizing data quality and deployment automation.
Description:
This project focuses on designing and deploying a robust data pipeline using Delta Live Tables (DLT) on Databricks. The pipeline ensures high data quality through defined expectations within DLT or an equivalent framework. Once the pipeline is developed and validated, it will be deployed using Databricks Asset Bundles, enabling seamless and scalable management of data workflows.
The project will cover the following steps:
Pipeline Development with Delta Live Tables: Creating ETL pipelines to process and transform data incrementally.
Data Quality Assurance: Implementing expectations to validate and monitor data at every stage of the pipeline.
Deployment with Databricks Asset Bundles: Packaging and deploying the pipeline for operational use in production environments.
This project demonstrates end-to-end pipeline lifecycle management on Databricks, emphasizing data quality and deployment automation.