Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction
- Overview of Databricks and Apache Spark.
- Comprehending the Databricks architecture.
Getting Started
- Preparing the environment.
- Setting up and configuring Databricks.
- Navigating the Databricks interface.
- Establishing a Databricks workspace.
Working with Data in Databricks
- Connecting to Apache Spark data sources.
- Understanding columns and data types.
- Managing file systems within Notebooks.
Managing Jobs and Clusters
- Creating and configuring clusters.
- Developing jobs using Notebooks.
- Executing jobs.
- Reviewing job details and status.
Utilizing Delta Lake in Databricks
- Ingesting data into Delta Lake.
- Managing data within Delta Lake.
Securing Databricks
- Administering Databricks security protocols.
- Handling backup and recovery processes.
Troubleshooting
Summary and Next Steps
Requirements
- Fundamental knowledge of data analytics principles.
- Familiarity with Apache Spark.
Target Audience
- Data Engineers.
- Data Scientists.
- Developers.
14 Hours
