100 Days of Data Engineering - Session 3 - Introduction to Databricks

Welcome to the first session of my 100-class Data Engineering series! In this session, we dive into the fundamentals of data engineering, discussing the following key topics:
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Introduction to Data Engineering: Overview, examples, and roadmap
Course Curriculum Breakdown: What to expect throughout the course
Industry 4.0 and its impact on Data Engineering
Different versions of Industry 4.0
What to expect in a Data Engineering interview
Salary packages in the current market
Data Engineering use cases and examples
Basic SQL concepts for data manipulation
Python programming for Data Engineering
Apache Spark with Databricks: What it is and why you should learn it
Live Projects on AWS Cloud
Github for version control and project collaboration
Leetcode prep for technical interview readiness
One-on-one mock interviews to prepare you for real-world job interviews
Join me on this journey where we not only cover technical skills but also career preparation strategies, hands-on projects, and real-world examples!
If you're passionate about building a career in Data Engineering, make sure to subscribe and stay tuned for the next sessions. Don't forget to like, share, and comment with any questions you have!