Microsoft Azure Databricks Administration - ETL Workflow

Unlock Your Data Engineering Career with Azure Databricks & Apache Spark

Are you ready to dive into the world of big data? With data growing exponentially from sources like IoT devices, mobile phones, and the internet, efficient data processing is more critical than ever. This course provides a comprehensive introduction to Azure Databricks, a powerful platform built on Apache Spark, enabling you to easily consume and process data in various formats – CSV, text, JSON, and more.

Learn how to leverage the latest versions of Apache Spark within a fully managed environment, benefiting from Azure's global scale and availability. This course is designed for beginners with no prior experience with Databricks or Azure, perfect for launching a career in data engineering, especially focusing on Azure Databricks administration.

Here's a glimpse into what you'll master:

• Understanding the Fundamentals:

  • What is Databricks and its role in modern data engineering?
  • Explore key Databricks components: Notebooks, Clusters, Pools, Secrets, Databricks CLI, and Cluster Policies.

• Automating Databricks Administration:

  • Automate Databricks administration tasks using Terraform for infrastructure-as-code.
  • Streamline deployments and management for increased efficiency.

• Data Integration & Processing:

  • Mount Azure Blob Storage seamlessly with Databricks for easy data access.
  • Load CSV data directly from Azure Blob Storage into Databricks.
  • Transform data effectively using both Scala and SQL queries.
  • Load transformed data back into Azure Blob Storage for further analysis or consumption.

• Data Management & Governance:

  • Understand Databricks tables and file systems for optimal data organization.
  • Configure Azure Databricks logging using Log4j and the Spark listener library, integrated with Log Analytics Workspace for comprehensive monitoring.

• CI/CD & Collaboration:

  • Implement CI/CD pipelines using Azure DevOps to automate your data workflows.
  • Integrate with Git providers for version control and collaborative development.
  • Deploy notebooks easily using Databricks Jobs for scheduled execution and automation.

Prepare for Certification & Interviews:

Throughout the course, you'll reinforce your learning with practice questions to prepare for the Azure Databricks Certified Associate Platform Administrator certification. End-of-session quizzes will help you ace interviews and solidify your understanding of key concepts.

Start your journey towards becoming a proficient Azure Databricks administrator today!