Build real-world pipelines, optimize data, apply governance, and create dashboards with Databricks & BI tools
Sub Category
- Data Science
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Objectives
- Build end-to-end data pipelines using modern tools like Databricks, Spark, and SQL
- Understand and implement ETL & ELT workflows for batch and streaming data processing
- Design scalable architectures using the Medallion (Bronze, Silver, Gold) framework
- Optimize data performance using partitioning, caching, query tuning, and cost optimization techniques
- Implement data governance and security with concepts like Unity Catalog, RBAC, and data lineage
- Create business-ready datasets (Gold tables) for analytics and reporting
- Run efficient queries using SQL Endpoints and improve query performance
- Connect data to Power BI/Tableau and build dashboard-ready data pipelines
- Apply real-world best practices used by professional data engineers
- Gain job-ready skills to work as a Data Engineer in modern data platforms
Pre Requisites
- Basic understanding of computer fundamentals (files, folders, internet usage)
- Familiarity with basic SQL concepts is helpful but not required
- No prior experience in data engineering or Databricks needed
- A laptop/PC with internet access to follow along with hands-on examples
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Coupon Code(s)