×
MindLuster Logo

Databricks fundamentals

Track :

Computer Science

Course Presenter :

Alex The Analyst

Lessons no : 5

For Free Certificate After Complete The Course

To Register in Course you have to watch at least 30 Second of any lesson

Join The Course Go To Community Download Course Content

What will you learn in this course?
  • Master data ingestion, transformation, and analysis using Databricks, Python, and SQL for real-world big data projects
  • Navigate Databricks workspace efficiently to manage notebooks, clusters, and data workflows in cloud environments
  • Implement Delta Lake features to ensure data reliability, ACID transactions, and optimized storage solutions
  • Apply Lakehouse architecture principles to build scalable, high-performance data processing and analytics solutions

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
  • you can follow your course progress From Your Profile
  • You can Register With Any Course For Free
  • The Certificate is free !
Lessons | 5


We Appreciate Your Feedback

Be the First One Review This Course

Excellent
0 Reviews
Good
0 Reviews
medium
0 Reviews
Acceptable
0 Reviews
Not Good
0 Reviews
0
0 Reviews

Our New Certified Courses Will Reach You in Our Telegram Channel
Join Our Telegram Channels to Get Best Free Courses

Join Now

Related Courses

Databricks fundamentals course, The Databricks Fundamentals course introduces learners to the core concepts of the Databricks platform and modern data processing using Apache Spark. This course explains how Databricks simplifies data engineering, data analytics, and machine learning in a unified environment. You will learn how to navigate the Databricks workspace, use notebooks, and work with data using Python and SQL. The course covers essential topics such as data ingestion, transformation, and basic analysis, along with an introduction to Delta Lake and the Lakehouse architecture. You will also explore how Databricks runs on cloud platforms and how it enables scalable, high-performance data processing. By the end of the course, you will have a solid foundation in Databricks, allowing you to work confidently with big data workflows and prepare for more advanced data engineering and analytics tasks. Alex The Analyst