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Course Outline
Introduction
- Overview of Databricks and Apache Spark.
- Understanding the Databricks architecture.
Getting Started
- Setting up the Environment.
- Setting up and configuring Databricks.
- Navigating the Databricks user interface.
- Creating a Databricks workspace.
Working with Data in Databricks
- Connecting to an Apache Spark data source.
- Understanding the basics of columns and data types.
- Managing file systems into Notebooks.
Managing Jobs and Clusters
- Creating and configuring clusters.
- Creating jobs using Notebooks.
- Running jobs.
- Viewing jobs and job details.
Using Delta Lake in Databricks
- Loading data into Delta Lake.
- Managing data in Delta Lake.
Securing Databricks
- Managing Databricks security.
- Managing backup and recovery.
Troubleshooting
Summary and Next Steps
Requirements
- Basic understanding of data analytics.
- Knowledge of Apache Spark.
Audience
- Data Engineers.
- Data Scientists.
- Developers.
14 Hours
