Data Engineering Pipeline Development
Participants will learn to design and maintain efficient data pipelines that support large-scale analytical workloads. The course covers data ingestion, transformation, and storage solutions tailored for high-volume data environments.
£420
Certified Data Engineering Professional
- Pass mark 70%
- Certificate on completion
- Verifiable public certificate ID
- English · available globally
Data Engineering Pipeline Development: the short answers
- What is Data Engineering Pipeline Development?
- Participants will learn to design and maintain efficient data pipelines that support large-scale analytical workloads. The course covers data ingestion, transformation, and storage solutions tailored for high-volume data environments.
- Who is Data Engineering Pipeline Development for?
- It is pitched at Intermediate level for Data Engineers working in IT, and is studied online from any country.
- How long does Data Engineering Pipeline Development take?
- Around 24 hours of study, plus the assessed assignments and one applied project.
- How is the certification assessed?
- Every assignment and the final project are assessed automatically against the published criteria. The pass mark is 70%, and an item that does not pass can be resubmitted.
- What do I receive when I pass?
- Certified Data Engineering Professional, issued as a certificate with a unique ID that employers can check in the public certificate register.
- How much does it cost?
- £420 once, with no subscription.
What you will be able to do
- Construct ETL pipelines for batch and real-time processing
- Optimize data schemas for query performance in distributed databases
- Implement quality checks to maintain data integrity
- Deploy and monitor pipelines using automated workflow orchestrators
Written by Dr. Aris Thorne, Data Infrastructure Researcher. Every submission is assessed automatically against the published criteria for Certified Data Engineering Professional, and the certificate is issued the moment the assessment is complete.
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