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Azure Data Processing
Master Azure data processing using Databricks, Data Factory, and Stream Analytics for effective ETL workflows.
Course Cost
₹ 2,699
Intermediate
Skill Level
10 Hours
Self-paced lessons
This comprehensive course teaches advanced data processing techniques using Microsoft Azure services. Students learn to configure batch processing with Databricks and Data Factory, implement ETL/ELT workflows, and create data pipelines. The curriculum covers essential topics including linked services, streaming analytics, PolyBase integration, and real-time data processing. Through hands-on exercises, learners gain practical experience with Azure tools while developing skills in big data analytics, pipeline automation, and data transformation.
7,513 Enrolled
English
What you'll learn
Configure batch processing with Databricks and Data Factory
Implement ETL and ELT workflows in Azure
Create and manage data pipelines and triggers
Master streaming analytics and windowing functions
Develop skills in real-time data processing
Skills you'll gain
This course includes:
222 Minutes PreRecorded video
7 assignments, multiple hands-on exercises
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 8 modules in this course
This comprehensive course covers advanced data processing techniques in Microsoft Azure. The curriculum spans eight modules, focusing on batch processing with Databricks, pipeline creation in Data Factory, streaming analytics, and data transformation strategies. Students learn to implement ETL/ELT workflows, configure real-time data processing, and utilize Azure services for efficient data management. The course combines theoretical knowledge with practical implementation through hands-on exercises.
Introduction
Module 1 · 7 Minutes to complete
Section 1 - Batch Processing with Databricks and Data Factory on Azure
Module 2 · 2 Hours to complete
Section 2 - Creating Pipelines and Activities
Module 3 · 2 Hours to complete
Section 3 - Link Services and Datasets
Module 4 · 1 Hours to complete
Section 4 - Schedules and Triggers
Module 5 · 1 Hours to complete
Section 5 - Selecting Windowing Functions
Module 6 · 1 Hours to complete
Section 6 - Configuring Input and Output for Streaming Data Solutions
Module 7 · 1 Hours to complete
Section 7 - ELT versus ETL in Polybase
Module 8 · 1 Hours to complete
Fee Structure
Payment options
Financial Aid
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.