Managing Data Pipelines in ADF or Synapse
Effective management of data pipelines is integral to streamlined data processing in the dynamic field of data engineering, whether utilizing ADF or Azure Synapse pipelines. This encompasses various facets, including pipeline orchestration to design, create, and orchestrate pipelines efficiently, data movement techniques for seamless transfer across diverse sources and destinations, and transformation logic for handling activities such as cleaning, aggregating, enriching, and shaping data. While robust monitoring, logging, and error-handling practices are crucial for effective monitoring and troubleshooting, adherence to stringent security standards and compliance requirements ensures data integrity and regulatory compliance, whether navigating Big Data challenges, managing real-time event streams, or orchestrating batch processing.
ADF and Synapse pipelines provide two tabs or hubs called Manage and Monitor that can help you manage and...
