Orchestration

Data orchestration is the automated process of managing and coordinating a series of complex data workflows. It is concerned with creating a seamless, end-to-end data pipeline that moves data from its various sources, through any necessary transformations or processing steps, and delivers it to its final destination.

Key aspects of data orchestration include:

• Workflow Automation: Automating the entire data lifecycle, from ingestion and cleaning to analysis and storage.
• Scheduling and Monitoring: Automatically scheduling tasks to run at specific times and monitoring them for success or failure.
• Data Integration: Coordinating the movement of data between different systems, applications, and storage environments.
• Error Handling: Building in logic to manage and respond to failures or anomalies within the data pipeline.