- What is Databricks?
- Overview of Databricks and its key features.
- Importance in modern data workflows.
- Databricks Architecture
- Unified Data Platform and Lakehouse concept.
- Integration with Apache Spark.
- Workspace components.
- Hands-on Demo
- Setting up a Databricks workspace.
- Creating and running a notebook:
- Simple PySpark/SQL query.
- Dataset exploration and basic transformations.
- Data visualization and job execution.
- Use Cases and Industry Examples
- Applications in data engineering, analytics, and machine learning.
- Success stories from key industries.
- Comparison
- Databricks vs other products
- Q&A and Conclusion
Published on
December 26, 2024
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