Build job-ready ETL and data warehousing skills using SSIS, CloverETL, and Azure Synapse Analytics.
Design automated data pipelines, process complex data formats, and create scalable cloud data warehouse solutions.
This Specialization provides a practical learning path for designing, implementing, analyzing, and optimizing modern data integration workflows. You will begin with SQL Server Integration Services, applying transformations, lookups, merges, aggregations, fuzzy logic, pivoting, file tasks, loops, and workflow automation.
You will then use CloverETL to create metadata-driven pipelines, convert files, process JSON and XML data, validate schemas, optimize workflows, and apply data integration techniques to a credit card fraud detection case study.
The final course focuses on building a data warehouse with Azure Synapse Analytics. You will learn workspace provisioning, data integration, performance optimization, security, Apache Spark analytics, and Power BI visualization. By completing the Specialization, you will be prepared to develop reliable ETL pipelines and scalable data warehouse solutions for business intelligence, analytics, and enterprise data management.
Applied Learning Project
Learners will complete hands-on projects that involve building automated ETL workflows, processing structured and semi-structured data, validating schemas, and optimizing pipeline performance. They will apply SSIS, CloverETL, and Azure Synapse Analytics to create reliable data integration solutions for reporting, fraud analysis, and cloud-based decision support.
