This course helps you master cloud-based ETL pipelines, large-scale data processing, and real-time analytics, all within the Microsoft Azure platform. Whether you're transitioning from traditional data roles or looking to specialize in Azure, you'll gain the practical experience and skills needed to tackle complex data challenges in a corporate environment.
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Build a rock-solid base with Linux, Hadoop, and Shell scripting — the essentials every data engineer must master.
Seamlessly transition to cloud with hands-on experience in AWS services like S3, EMR, Redshift, and Glue.
Work on industry-level projects that mirror real job challenges and build the confidence to deliver in the field.
Receive end-to-end career support including resume building, mock interviews, and job referrals until you're placed.
Overview of Microsoft Azure and its architecture
Key services for data engineering in Azure
Setting up Azure portal, resource groups, and storage
Understanding data lakes and hierarchical storage
Creating and managing Data Lake Gen2
Ingesting and accessing data securely in ADLS
Introduction to ADF and pipeline creation
Copy activities and data movement
Data transformation using Data Flows
Integration with Azure Blob, SQL DB, and Data Lake
Introduction to Synapse architecture
Building and querying data warehouses
Serverless SQL vs. dedicated SQL pools
Integrating Synapse with ADF and Power BI
Overview of Azure Stream Analytics
Ingesting real-time data using Event Hub
Real-time analytics using Azure Stream and Power BI
Using triggers and schedules in ADF
Building CI/CD pipelines for data workflows
Monitoring, logging, and alerting in Azure
Resume building tailored to Azure roles
Mock interviews and case studies
Career guidance and mentorship for Azure Data Engineer roles
Microsoft Azure is the 2nd largest cloud provider used by top enterprises
High demand for certified Azure Data Engineers across industries
Enables building enterprise-level, scalable data infrastructure
Integrates seamlessly with Microsoft ecosystem and BI tools
Future-proof your data career with cutting-edge cloud expertise
Data analysts or engineers switching to cloud-based platforms
Professionals familiar with SQL/ETL looking to upskill in Azure
Beginners aiming for careers in data engineering
Non-tech professionals transitioning into tech roles
Anyone seeking in-demand cloud and data skills
Master end-to-end data workflows on Microsoft Azure
Learn to ingest, transform, store, and visualize data using Azure tools
Understand real-time and batch data processing on the cloud
Prepare for Azure Data Engineer roles in top companies
Build scalable, secure, and cost-effective data solutions
Interactive live classes with Azure-certified instructors
Hands-on labs with Data Factory, Synapse, ADLS & more
Lifetime access to recordings and study materials
1:1 mentorship and doubt-clearing sessions
Real-world Azure-based capstone project
Resume building and mock interview prep
Completion certificate and placement support
"The live sessions are interactive and easy to follow. The mentors explain everything with great clarity"
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