Databricks Certified Data Engineer Associate for Beginners



It’s not a course, it’s all the best courses in one

What you will learn

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

Description

Our courses bring together the best resources from leading universities, companies, entrepreneurs and academics around the world to deliver a truly unparalleled learning experience.

Don’t waste your money, our team of expert curators offers carefully curated education, providing the highest quality educational resources from the most respected institutions and industry leaders to create the ultimate AutoML course, an opportunity to acquire the best knowledge and skills in the field, providing the most efficient and effective types of objects.

THIS IS A EBOOK COURSE, A COMPILATION OF THE BEST EDUCATIONAL RESOURCES OF THE WORLD.

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
English
language

Content

Welcome

Let´s Start!

Introduction to Databricks

Overview of Databricks and its features
Setting up a Databricks account
Navigating the Databricks interface

Data Engineering Fundamentals

Introduction to data engineering
Understanding data pipelines
Data modeling and data warehousing concepts

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

Building and Deploying Machine Learning Models

Introduction to machine learning
Using Databricks for machine learning
Building and deploying machine learning models on Databricks

Monitoring and Troubleshooting Data Pipelines

Introduction to data pipeline monitoring
Using Databricks for data pipeline monitoring
Troubleshooting data pipeline issues

Hands-on Labs and Projects

A series of hands-on labs and projects

Educational Resources for the next step of your Training

Databricks. From Development to Production by Dmytro Yerusalimtsev (Eng)
Ali Ghodsi, Databricks – Cube Conversation Partner Exclusive

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