In the Azure Databricks course, you'll learn to create, manage, and optimize data pipelines, also perform advanced analytics using Azure Databricks. You'll gain practical experience in working with big data in the Azure cloud environment, making you proficient in data engineering and advanced analytics.

Becoming skilled in Azure Databricks is a significant step in harnessing the full potential of big data and machine learning in the cloud.

Who will benefit:
The Azure Databricks course is designed to empower individuals with the skills to harness the power of Azure Databricks, a unified analytics platform for big data and machine learning. This course will equip you with the knowledge to work with large datasets, build data pipelines, and perform advanced analytics in the Azure cloud environment.
This course is ideal for:

• Aspiring Azure data engineers
• Cloud administrators and professionals working in Azure environments
• Those looking to harness the potential of big data in Azure

Why we highly recommend this course:
We highly recommend the Azure Databricks course to individuals looking to master big data analytics, data engineering, and machine learning in the Azure cloud environment. Azure Databricks proficiency is a valuable asset in today's data-driven and cloud-centric job market.

• Advanced Data Engineering: Learn to create, manage, and optimize data pipelines, making you proficient in data engineering in the Azure cloud.
• Advanced Analytics: Master advanced analytics techniques, enabling you to extract valuable insights from large datasets.
• Real-World Applications: The skills you acquire are immediately applicable in data engineering, data science, and cloud administration roles.
• Career Advancement: Proficiency in Azure Databricks is in high demand and can lead to rewarding career opportunities in cloud computing and big data.

Duration:
Online: 12 Hours
Project: 4 Weeks

Prerequisite:
Basic knowledge of big data concepts and familiarity with programming language like Python and SQL are recommended.

Tools you will work with:

• Azure Databricks
• Azure Storage Account
• Python and SQL