course | Data Orchestration and Pipeline Automation
Join the Data Orchestrat... course
DIGTR-3179 | Data Orchestration and Pipeline Automation
Course Sector : Digital Transformation and Innovation
| Duration | Date from | Date to | Course Venue | Course fees | Book a course |
|---|---|---|---|---|---|
| 5 Days | 07/09/2026 | 11/09/2026 | Dubai | $4,250 | Book now |
| 5 Days | 08/11/2026 | 12/11/2026 | Online | $2,150 | Book now |
| 5 Days | 04/04/2027 | 08/04/2027 | Cairo | $4,250 | Book now |
| 5 Days | 23/05/2027 | 27/05/2027 | Riyadh | $4,250 | Book now |
Course Introduction
Modern data ecosystems require robust orchestration to ensure reliability, reproducibility, and efficiency of pipelines. This program equips participants with intermediate skills in data workflow orchestration, pipeline automation, and integration with Spark, Python, and SQL.
Participants will learn how to schedule, monitor, and maintain pipelines effectively, ensuring seamless data flow across the organization.
Course objective
- Orchestrate complex ETL/ELT and Spark workflows efficiently.
- Automate scheduling and monitoring of data pipelines.
- Integrate Python, SQL, and Spark workflows into unified pipelines.
- Apply error handling, logging, and alerting strategies.
- Ensure pipeline reproducibility and operational reliability.
Course audience
- Data Engineers
- ETL/ELT Developers
- Big Data Engineers
- Cloud Data Engineers
Course Outline | DAY 01
Introduction to Data Orchestration
- Role of orchestration in modern data engineering
- Overview of workflow orchestration tools: Airflow, Prefect, Luigi
- DAGs, tasks, and dependencies
- Scheduling strategies and triggers
- Monitoring and alerting fundamentals
Course Outline | DAY 02
Pipeline Design and Automation
- Building modular and reusable pipeline components
- Integrating Python and SQL workflows
- Version control and reproducibility
- Handling dynamic inputs and outputs
- Error handling, retries, and fallback strategies
Course Outline | DAY 03
Orchestrating Spark Workloads
- Submitting Spark jobs via Airflow
- Managing dependencies between Spark and ETL tasks
- Monitoring Spark performance in pipelines
- Dynamic resource allocation for Spark workloads
- Optimizing orchestration for high-throughput pipelines
Course Outline | DAY 04
Data Quality, Governance, and Logging
- Ensuring data integrity and consistency in pipelines
- Implementing logging and audit trails
- Pipeline validation and testing
- Metrics and KPIs for pipeline performance
- Handling exceptions and notifications
Course Outline | DAY 05
Advanced Orchestration Patterns
- Event-driven pipelines and real-time triggers
- Parallelism and concurrency optimization
- Hybrid cloud orchestration strategies
- End-to-end pipeline lifecycle management
BOOST’s Professional Attendance Certificate “BPAC”
BPAC is always given to the delegates after completing the training course,and depends on their attendance of the program at a rate of no less than 80%,besides their active participation and engagement during the program sessions.
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