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Duration 14 hours
Course Outline
Introduction
- Overview of Databricks and Apache Spark
- Exploring the Databricks architecture
Getting Started
- Environment setup
- Configuration of Databricks
- Navigating the Databricks interface
- Creating a Databricks workspace
Working with Data in Databricks
- Connecting to Apache Spark data sources
- Foundations of columns and data types
- Integrating file systems into Notebooks
Managing Jobs and Clusters
- Cluster creation and configuration
- Job creation via Notebooks
- Executing jobs
- Reviewing job status and details
Using Delta Lake in Databricks
- Ingesting data into Delta Lake
- Data management within Delta Lake
Securing Databricks
- Databricks security administration
- Backup and recovery management
Troubleshooting
Summary and Next Steps
Requirements
- Fundamental knowledge of data analytics
- Proficiency with Apache Spark
Audience
- Data Engineers
- Data Scientists
- Developers
