Databricks Certified Data Engineer Associate for Beginners, It’s not a course, it’s all the best courses in one.
Our courses bring together the best resources from leading universities, companies, entrepreneurs and academics around the world to deliver a truly unparalleled learning experience.
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IT INCLUDES TEXTS, CODING EXAMPLES, CASE STUDIES AND OPTIONAL EVALUATIONS.
This course is designed to prepare beginning students for the Databricks Certified Data Engineer Associate Exam. The course covers the key concepts and best practices for designing, building, and maintaining data pipelines using Databricks. By the end of the course, students will have the foundations and knowledge needed to advance in trainning to pass the certification exam and become a Databricks Certified Data Engineer Associate.
Course Outcomes:
- Understand the key concepts and best practices for designing, building, and maintaining data pipelines using Databricks
- Learn how to use Databricks to process and transform large datasets
- Learn how to use Databricks to build and deploy machine learning models
- Learn how to use Databricks to monitor and troubleshoot data pipelines
- Gain hands-on experience using Databricks through a series of hands-on labs and projects
Our courses are curated by an expert team of top universities, companies, entrepreneurs and academics from around the world to ensure you’re learning from the best in the field. Get exposure to the latest research, case studies, and hands-on projects that help you develop the skills you need to succeed.
Don’t miss this opportunity to stay one step ahead and master the skills you need. Enroll in the course today and start your journey to becoming a leading expert in your field.
Course Syllabus:
Module 1: Introduction to Databricks
- Overview of Databricks and its features
- Setting up a Databricks account
- Navigating the Databricks interface
Module 2: Data Engineering Fundamentals
- Introduction to data engineering
- Understanding data pipelines
- Data modeling and data warehousing concepts
Module 3: Data Processing and Transformation
- Introduction to Apache Spark
- Using Spark SQL and DataFrames
- Using Spark for data processing and transformation
- Using Databricks for data processing and transformation
Module 4: Building and Deploying Machine Learning Models
- Introduction to machine learning
- Using Databricks for machine learning
- Building and deploying machine learning models on Databricks
Module 5: Monitoring and Troubleshooting Data Pipelines
- Introduction to data pipeline monitoring
- Using Databricks for data pipeline monitoring
- Troubleshooting data pipeline issues
Module 6: Hands-on Labs and Projects
- A series of hands-on labs and projects to provide students with practical experience using Databricks
