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Course Outline

Introduction

  • Overview of Databricks and Apache Spark
  • Comprehending the Databricks architecture

Getting Started

  • Environment Setup
  • Configuring Databricks
  • Navigating the Databricks interface
  • Creating a Databricks workspace

Working with Data in Databricks

  • Connecting to an Apache Spark data source
  • Understanding fundamental columns and data types
  • Integrating the file system with Notebooks

Managing Jobs and Clusters

  • Building and configuring clusters
  • Creating jobs via Notebooks
  • Executing jobs
  • Reviewing job status and details

Using Delta Lake in Databricks

  • Ingesting data into Delta Lake
  • Administering data within Delta Lake

Securing Databricks

  • Administering Databricks security
  • Overseeing backup and recovery procedures

Troubleshooting

Summary and Next Steps

Requirements

  • Fundamental grasp of data analytics
  • Proficiency with Apache Spark

Target Audience

  • Data Engineers
  • Data Scientists
  • Developers
 14 Hours

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