Elevate Your Skills with Advanced Data Engineering on Databricks

Welcome to the ‘Advanced Data Warehouse Performance Optimization and Data Processing with UDFs – Databricks Intermediate’ course, where you’ll take your skills in data warehousing and analytics to the next level using the powerful Databricks platform. In this intermediate-level course, we’ll dive deep into the art and science of optimizing data warehouse performance and harnessing the capabilities of User-Defined Functions (UDFs) for advanced data processing.

Course Highlights include setting up an advanced Databricks environment, where you’ll learn how to configure clusters and integrate data sources to prepare for performance optimization and UDF development. You’ll explore advanced techniques for optimizing data warehousing workloads, learn how to fine-tune performance by optimizing storage and partitioning strategies, and delve into diagnosing and profiling issues that may affect your database performance.

Throughout the course, you will also harness the power of UDFs in Databricks to perform custom data transformations and calculations. By the end of the course, you’ll not only have a comprehensive understanding of monitoring and tuning performance but also practical exposure to real-world case studies that demonstrate best practices and significant performance improvements with DataBricks.

What you will learn:

• Overview of AI tools for developers and their impact on software development
• Setup and configuration of GitHub Copilot with popular programming languages
• Demonstrate understanding of best practices for collecting, analyzing, and managing lessons learned

Course Content:

• Sections: 7
• Lectures: 12
• Duration: 41m

Requirements:

• No special requirements or prerequisites are needed to take this course
• Some extra reading about project management concepts will help

Who is it for?

• System Administrators

What are you waiting for to get started?

Enroll today and take your skills to the next level. Coupons are limited and may expire at any time!

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