Udemy – Master Databricks Certified Data Engineer Associate Training 2024-10

Published on: 2024-11-28 16:45:09

Categories: 28

Description

Master Databricks Certified Data Engineer Associate Training course. This course is designed for people who want to improve their data engineering skills using the Databricks platform. This course introduces you to the basic concepts and advanced techniques needed to build and manage scalable data pipelines. This training course is designed to help you prepare for certification exams, but is not a substitute for the official materials provided by the certification provider.

What you will learn

Basic principles of Databricks and its role in data engineering
How to work with the Databricks Lakehouse platform, combining data lakes and data warehouses
Best practices for inbound data processing and ETL
Delta Lake features to ensure data reliability and performance
How to work with different data formats such as Parquet, CSV and JSON
Metadata management and cataloging with Hive Metastore and Databricks Catalog
Basics of Apache Spark and its use for data transformation
Working with DataFrames and Spark SQL to query and manipulate data
Techniques to optimize data conversion and performance
How to automate workflows and pipelines using Databricks Jobs and Workflows
Implement data governance, access control and monitoring pipelines
Performance tuning techniques such as caching, redundant data removal, and cluster optimization
Stream data processing using Structured Streaming in Databricks
Ensuring data quality through validation and expectations
and other cases

This course is suitable for people who

Data engineers looking to improve their skills in building scalable and efficient data pipelines using Databricks.
Data analysts who want to expand their knowledge in data engineering and processing large-scale data sets.
Developers working with big data platforms who need to understand the tools and workflows available in Databricks.
Business intelligence professionals are looking to use Databricks for more advanced analytics and ETL processes.
Anyone interested in Databricks who wants to learn how to manage data pipelines, optimize performance, and implement data governance. Whether you’re new to Databricks or looking to deepen your expertise, this course will provide you with the tools and techniques you need to succeed in data engineering.