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Course Outline
Introduction
- High-level overview of Databricks and Apache Spark
- Analyzing the core architecture of Databricks
Initial Setup
- Preparation of the development environment
- Configuring the Databricks instance
- Navigation through the Databricks user interface
- Establishing a new Databricks workspace
Data Management in Databricks
- Establishing connections to Apache Spark data sources
- Core concepts of columns and data types
- Integrating file system operations into Notebooks
Job and Cluster Administration
- Design and configuration of clusters
- Job creation utilizing Notebooks
- Execution of scheduled jobs
- Monitoring job status and detailed metrics
Implementing Delta Lake
- Data ingestion into Delta Lake
- Strategic management of data within Delta Lake
Security Protocols
- Implementation of Databricks security measures
- Strategies for backup and disaster recovery
Diagnostics and Troubleshooting
Conclusion and Future Recommendations
Requirements
- Fundamental knowledge of data analytics principles
- Familiarity with Apache Spark
Intended Audience
- Data Engineers
- Data Scientists
- Software Developers
14 Hours
