Introduction to Databricks in 1 Hour
Published 12/2025
Duration: 1h 37m | .MP4 1920x1080 30fps(r) | AAC, 44100Hz, 2ch | 1.02 GB
Genre: eLearning | Language: English
Master Databricks from Scratch: Architecture, Core Components, SQL, Python, Delta Lake, and hands-on Machine Learning
What you'll learn
- Understand what Databricks is and how organizations use it
- Explain core components such as workspaces, clusters, notebooks, jobs, and repos
- Describe Databricks architecture, Delta Lake, Medallion architecture, and the Lakehouse concept
- Navigate the Databricks workspace and use the free Databricks Community Edition
- Run Python scripts inside Databricks and configure compute resources
- Load, clean, transform, and visualize data using Databricks tools
- Build dashboards and create SQL tables with Python
- Convert DataFrames between SQL and PySpark
- Apply basic data science concepts in Databricks
Requirements
- Basic understanding of Python or SQL (recommended but not required)
- A computer with internet access
- A willingness to learn new tools and work through hands-on exercises
Description
Welcome toIntroduction to Databricks, your practical, beginner-friendly guide to one of the most in-demand data platforms in the industry today.
My name isDimitar Shtev, and I've spent nearly a decade working with data across analytics, engineering, and machine learning. In this course, I will walk you step-by-step through everything you need to confidently start usingDatabricks-even if you've never worked with it before.
We begin by exploringwhat Databricks is, why organizations rely on it, and how its major components fit together. You'll learn about theData Lakehouse,Delta Lake,SQL,Databricks Runtime, and the architecture that powers scalable data processing.
From there, we move intohands-on learningusing Databricks'free-for-life community edition. You will run Python scripts, configure compute resources, organize your workspace, load CSV files, and build interactive visualizations and dashboards.
Finally, we put everything into practice with areal machine learning project:
You will collect real Bitcoin price data, prepare it for modeling, convert SQL tables into PySpark objects, train a regression model, and display future price predictions inside Databricks.
Whether you're adata analyst,data engineer,BI professional,developer, oraspiring data scientist, Databricks is becoming an essential tool-and this course gives you the foundations AND the confidence to use it in real-world scenarios.
By the end, you'll have a functional Databricks environment, hands-on experience, and practical workflows you can apply at work the very next day.
Who this course is for:
- Beginners who want to learn Databricks from the ground up
- Data Analysts looking to expand into cloud data engineering or ML workflows
- Data Engineers who want practical Databricks foundations
- Data Scientists who need a platform for scalable data processing
- Students and career changers entering the data field
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