Description

Mastering Databricks & Apache Spark: Build ETL Data Pipeline

  Build ETL data pipeline

Meta Description: Learn to build scalable ETL pipelines using Databricks and Apache Spark. Master data processing, orchestration, and dashboard creation in this comprehensive course.

Welcome to Mastering Databricks & Apache Spark: Build ETL Data Pipeline, a hands-on course designed to equip you with the skills to construct robust ETL pipelines using Databricks and Apache Spark. Whether you’re a data engineer, BI architect, or aspiring data professional, this course provides the foundational knowledge and practical experience needed to excel in modern data engineering.

What You’ll Learn

• Setting up and managing Databricks clusters
• Building ETL pipelines using Spark SQL, Python, and Scala
• Implementing Delta Lake for data storage and management
• Performing data transformations and aggregations
• Creating interactive dashboards for data visualization
• Orchestrating data workflows using Azure Data Factory
• Deploying and automating data pipelines in a cloud environment

Requirements

• No prior experience with Databricks or Apache Spark is required.
• Basic understanding of data engineering concepts is beneficial.
• Access to an Azure Databricks workspace for hands-on practice.

Course Description

This course offers a comprehensive introduction to building ETL data pipelines using Databricks and Apache Spark. You’ll start by setting up your own Databricks cluster, learning to process various data formats like CSV, JSON, and XML. The course covers essential operations in Spark SQL, Python, and Scala, enabling you to perform data transformations, aggregations, and analytics.

As you progress, you’ll delve into Delta Lake, understanding its capabilities for data versioning and time travel. The course also emphasizes the importance of data orchestration, guiding you through the process of automating workflows using Azure Data Factory. By the end of the course, you’ll have the skills to build end-to-end ETL pipelines, from data ingestion to visualization.

About the Instructor

The course is led by an experienced data engineer with extensive expertise in Databricks, Apache Spark, and cloud-based data solutions. With a passion for teaching and a commitment to practical, hands-on learning, the instructor brings real-world insights to the course content.

Explore Related Courses:

• Data Engineering Fundamentals
• Azure Databricks Essentials
• Advanced Spark SQL Techniques
• Python for Data Engineering
• Cloud Data Orchestration

Explore These Valuable Resources:

• Apache Spark™ Programming with Databricks
• Build an ETL pipeline with Apache Spark on Databricks
• How to Learn Databricks: A Beginner’s Guide

Enroll today to start building scalable and efficient ETL pipelines with Databricks and Apache Spark!