Azure Data Engineering – Pragathi Technologies

Enquiry Now

Building Data Pipelines for Tomorrow

The Azure Data Engineering course at Pragathi Technologies equips you with the skills and knowledge required to design and implement data solutions on Microsoft Azure. Covering both relational and non-relational data systems, data lakes, and advanced analytics, this course provides a comprehensive foundation in data engineering. Learn how to build secure, scalable, and efficient data pipelines while leveraging cutting-edge tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.

Course Highlights

What You’ll Learn

Explore non-relational data stores, including document, key-value, and graph databases.
Work with Azure Data Lake for managing big data.
Implement data integration and transformation using Azure Data Factory.
Perform large-scale data processing and analytics with Azure Databricks and Apache Spark.
Understand data ingestion, partitioning, and high-availability solutions.
Leverage Azure Stream Analytics for real-time data processing.
Secure and monitor data pipelines with Azure Monitor and Azure Security.

Course Curriculum

Non-Relational Data Stores & Azure Data Lake

Introduction to NoSQL databases and data lake concepts.

Data Lake and Azure Cosmos DB

Key features, partitioning, and consistency levels.

Relational Data Stores

Explore Azure SQL Database and Elastic Pool.

Azure SQL & Synapse Analytics

High availability, security, and analytics with Synapse.

Azure Batch

Manage parallel and tightly coupled workloads efficiently.

Azure Data Factory

Data integration, mapping flows, and pipeline creation.

Azure Databricks

Spark-based analytics and distributed computing.

Data Ingestion & Pipelines

Data ingestion from Blob storage and creating event-driven triggers.

Spark & Spark Architecture

Explore Spark features, clusters, and distributed computing.

Azure Stream Analytics

Real-time analytics with windowing functions.

Monitoring & Security

Use Azure Monitor for alerts, logging, and auditing.

Duration : 60 hrs

lesson : 16 session

Skill level : All level

Class : Online & Offline

Related Courses

Frequently Asked Questions

What is the Azure Data Engineering course about?

This course focuses on designing and implementing data solutions on Microsoft Azure. You’ll learn about data lakes, non-relational and relational data systems, data integration, analytics, and real-time processing using Azure tools like Data Factory, Databricks, and Synapse Analytics.

Who is this course for?

The Azure Data Engineering course is ideal for:

Aspiring data engineers.
IT professionals looking to upskill in data engineering.
Individuals interested in pursuing the Azure Data Engineer Associate certification.

What tools and technologies will I learn?

ou’ll gain hands-on experience with:

Azure Data Factory
Azure Data Lake
Azure Databricks and Apache Spark
Azure Synapse Analytics
Azure Stream Analytics
Azure Monitor and Security