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Duration 14 hours
Course Outline
Introduction
- Overview of Databricks and Apache Spark
- Analyzing the Databricks architecture
Initial Setup
- Environment preparation
- Installation and configuration of Databricks
- Exploring the Databricks user interface
- Establishing a Databricks workspace
Data Operations in Databricks
- Integration with Apache Spark data sources
- Reviewing fundamental columns and data types
- Incorporating the file system into Notebooks
Job and Cluster Administration
- Building and configuring clusters
- Developing jobs via Notebooks
- Executing jobs
- Monitoring job status and details
Delta Lake Integration in Databricks
- Ingesting data into Delta Lake
- Administering data within Delta Lake
Databricks Security
- Overseeing Databricks security protocols
- Handling backup and recovery procedures
Troubleshooting
Wrap-up and Future Directions
Requirements
- A foundational grasp of data analytics concepts.
- Familiarity with Apache Spark.
Target Audience
- Data Engineers
- Data Scientists
- Developers
