NexGen IT Solutions

Aws & Azure & Etl Tools Course Training

Realtime Classroom Training

Project and Task Based

6 to 8 Hrs Every Day

Interview, Jobs & Placement Support

Communication & Personality Development

Interview Preparations

Daily Assignments & Coding Challenges

Doubt-Solving Sessions with Mentors

Resume Building & Mock Interviews

Code Reviews & Best Coding Practices

50000 +

Students Enrolled

4.0 ★★★★ (450)

Ratings

6 months

Duration

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About The Course

Extract, Transform, Load (ETL) is a fundamental data integration process used in both Amazon Web Services (AWS) and Microsoft Azure to prepare and move data from various sources into a target system, typically a data warehouse or data lake, for analytics and business intelligence.

This is AWS's primary serverless ETL service. It automatically scales compute resources, uses Apache Spark as its processing engine, and integrates with other AWS services like S3 and Redshift.

This is Azure's equivalent service, also serverless and managed. ADF supports both ETL and ELT (Extract, Load, Transform) patterns and integrates seamlessly with Azure Data Lake Storage and Azure SQL Database.

Aws Architect

Azure Architect

Azure Data Engineer

Etl Developer

Aws & Azure Consultant

₹ 7 LPA

Avg package

42 %

Avg hike

2500 +

Tech transitions

Annual Salaries (Lakhs)

Demand

77%

Managers said hiring Job Ready Program was top priority

Aws and Azure and Etl Course Syllabus

- Introduction to Cloud Data Warehousing (Traditional vs Cloud, Advantages of Snowflake)
- Snowflake Architecture (Storage, Compute, Cloud Services)
- Snowflake Editions and Cloud Providers (AWS, Azure, GCP)
- Account Creation and UI Walkthrough
- Virtual Warehouses (Scaling, Suspend, Auto-Resume)

- Databases, Schemas, Tables, Views
- Temporary and Transient Tables
- Internal & External Stages (S3, Azure Blob, GCS)
- File Formats (CSV, JSON, PARQUET, etc.)
- COPY INTO & UNLOAD Commands
- Snowflake SQL Functions and Data Types

- Time Travel & Zero-Copy Cloning
- Data Sharing & Secure Data Sharing
- Streams & Tasks (CDC & Scheduling)
- Snowpipe (Continuous Data Loading)
- Materialized Views & Caching
- Performance Tuning & Query Profiling

- AWS S3 Integration & External Stages
- AWS IAM Roles & Secure Connection Setup
- Azure Blob & Data Lake Integration (SAS Tokens)
- Snowflake on AWS vs Azure (Billing, Storage, Security)
- Cross-Cloud Data Sharing & Data Exchange

- ETL vs ELT Overview
- Integration with Informatica IICS, DBT, Talend
- Data Loading & Transformation Pipelines
- Automation (Airflow, Tasks, Streams)
- Error Handling, Logging, Monitoring ETL Jobs

- End-to-End Data Pipeline (AWS → Snowflake → BI)
- Warehouse Sizing, Resource Monitoring, Cost Optimization
- Data Governance & Security (RBAC, Masking, Encryption)
- Backup, Recovery & Disaster Management
- Snowflake Certification Prep (SnowPro Core, Architect)

Aws & Azure & Etl Tools Course Training