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Session 1 – Azure Databricks, Data Engineering Fundamentals & Big Data Architecture
Understand what Data Engineering is, why it is important in modern industries, and how Azure Databricks fits into the Big Data ecosystem.
Topics include: Introduction to Data Engineering, importance of Data Engineering, the 5 V’s of Big Data, traditional vs modern Big Data processing, Big Data architecture, Microsoft Azure fundamentals, Azure Databricks overview, industry use cases, and career opportunities in Data Engineering.
Session 2 – Azure Databricks, Spark Architecture & Real-Time Processing
Apply concepts in real-world Data Engineering scenarios using Azure Databricks and Apache Spark.
Topics include: Recap of Session 1, Azure Cloud basics, Databricks workspace overview, how Apache Spark works, Spark architecture, cluster concepts, distributed data processing, notebooks, languages supported by Spark (Python, SQL, Scala), real-time ETL workflows, and key skills required to become a Data Engineer.
What Our Institute Provides
⭐ Industry-Oriented Curriculum
⭐ Near Real-Time Projects & Practical Training
⭐ Experienced Trainers from the IT Industry
⭐ Interview Preparation & Resume Guidance
⭐ Placement Assistance
⭐ Recorded Sessions for Revision (2 Years Access)
⭐ Lifetime Doubt Support
Build Your Future in Data Engineering – Attend Our Free Azure Databricks Demo
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