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Published 1/2023
Created by Andres Monsalve
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 5 Lectures ( 38m ) | Size: 243 MB
Covers the key concepts of data engineering, including data warehousing, ETL and using SQL to manipulate data.
What you'll learn
What is the Databricks Certified Data Engineer Associate Exam and why it is important.
Understanding data warehousing, ETL processes ,SQL and data manipulation techniques.
Understanding the Databricks platform, including it's components, workspace and user interface.
How to use Spark and Databricks to process and transform data.
Requirements
Basic understanding of data engineering concepts and experience working with data in a professional setting.
Understanding of data warehousing and ETL, the ability to use SQL to manipulate data, and knowledge of different types of data storage and management systems.
Basic understanding of distributed computing, data modeling and data warehousing, and SQL, as well as experience with big data systems like Hadoop and Spark.
Knowledge of the cloud computing platforms like Azure, AWS, or GCP, since the Databricks is a cloud-based platform.
Description
This course is designed to provide you with the skills and knowledge needed to become a Databricks Certified Data Engineer. The course covers the key concepts of data engineering, including data warehousing and ETL, using SQL to manipulate data, and understanding different types of data storage and management systems. You will also learn how to work with the Databricks platform, including navigating the workspace, managing clusters and jobs, and using Spark and Databricks to process and transform data.Additionally, the course will cover important topics such as data visualization, reporting, compliance, and security. You will learn how to encrypt data and share it securely, and how to control access to data on Databricks.By the end of the course, you will be well-prepared for the Databricks Certified Data Engineer Associate Exam and ready to take your data engineering skills to the next level.This course is intended for data engineers, data architects, and other professionals who work with data in a professional setting. Having a basic understanding of data engineering concepts and experience working with data is required. Familiarity with the Databricks platform and Spark would be helpful as well.It's also expected that you have a basic understanding of distributed computing, data modeling and data warehousing, and SQL, as well as experience with big data systems like Hadoop and Spark. It's also important to mention that having a solid knowledge of the cloud computing platforms like Azure, AWS, or GCP, since the Databricks is a cloud-based platform.
Who this course is for
The intended learners for this course on Databricks Certified Data Engineer Associate Exam preparation are professionals who want to become Databricks Certified Data Engineer Associates. This would include data engineers, data architects, and other professionals who work with data in a professional setting and want to gain expertise in working with the Databricks platform. The course is also suitable for experienced data engineers, data scientists and big data developers who are looking to gain expertise in working with the Databricks platform, and want to take the Databricks Certified Data Engineer Associate Exam.
Homepage
Code:
https://www.udemy.com/course/pass-the-databricks-certified-data-engineer-exam/
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