Azure Data Engineering Job Readiness Training
Offered By: GiftAbled Foundation
Course Description:
The Azure Data Engineering Course is designed for candidates with disabilities, including individuals with physical disabilities (OH/LD), low vision, and deaf individuals. This comprehensive program provides hands-on experience with Azure cloud services and data engineering tools, equipping learners with the skills needed for entry-level roles in cloud-based data management.
Our mission is to provide an accessible learning environment where all candidates can gain practical knowledge in data engineering and advance their careers in the tech industry.
Eligibility Criteria :
Open to individuals with disabilities, including:
- Physical Disabilities (OH/LD)
- Low Vision
- Deaf
Program Highlights:
This program aims to provide an inclusive learning environment and equip participants with a strong foundation in UI/UX design. Key highlights include:
- Expert guidance from industry professionals experienced in inclusive design.
- Customized learning modules catering to diverse learning needs, including sign language interpretation for the deaf.
- Hands-on practical sessions covering fundamental and advanced concepts in UI/UX design.
- Real-world projects to apply theoretical knowledge in practical scenarios.
- Innovative teaching methodologies ensure accessibility and comprehension for all participants.
Course Structure
Online Course Content (90 Hours)
| Module | Topic | Subtopics | Expected Hours |
|---|---|---|---|
| SQL Server | Introduction to SQL Server | Editions, Components, Tools, SSMS, Object Explorer | 4 |
| Designing and Creating a Database | Relational Design Principles, Implementation, Creation | 4 | |
| Table Operations | Schema, Insert, Update, Delete, Data Integrity | 4 | |
| Understanding Simple SQL Queries | SELECT, WHERE, ORDER BY, GROUP BY | 4 | |
| Advanced Queries | Joins, Union, Functions, RANK, DENSE_RANK | 6 | |
| Views | Overview, Creation, Altering, Dropping | 3 | |
| Stored Procedures | Creation, Parameters, Return Values | 3 | |
| User-Defined Functions | Overview, Scalar, Table-Valued Functions | 3 | |
| Azure Data Engineer with PySpark | Azure Fundamentals | Cloud Concepts, Service Models, Benefits | 5 |
| Azure Cost Management + Billing | Products, Pricing, Optimization Strategies | 6 | |
| Azure SQL Server and Database | Elastic Pool, Compute, Redundancy, Firewall, Defender | 8 | |
| Azure Data Studio | DML, DDL, Joins, Stored Procedures | 8 | |
| Azure Data Factory | Pipelines, Activities, Copy Activity, Scheduling | 10 | |
| Azure Storage Account & Data Lake | Provisioning, Blob Operations, Security | 7 | |
| Azure Databricks | Apache Spark, PySpark, ETL, Clusters, Jobs | 12 | |
| Azure Synapse Analytics | SQL Warehouse, ETL, On-demand SQL, Pools | 12 | |
| Azure Logic Apps | Automation, Triggers, Workflow | 4 | |
| Azure Resource Group and Tags | Organization, Lifecycle Management, Cost Allocation | 4 | |
| Azure Key Vault | Security, Secret Management | 4 | |
| Capstone Project | Hands-on Project | Real-world Data Engineering Project covering ETL, Storage, and Analysis | 10 |
Capstone Project Overview:
Project Title: Azure Data Pipeline Implementation
Objective: Build an end-to-end data pipeline leveraging Azure services for data ingestion, storage, transformation, and visualization.
Skills Covered: Azure Data Factory, Databricks, Synapse Analytics, Storage Accounts, Reporting.
Candidate Eligibility
Candidates must hold a Bachelor’s degree in Computer Science, Engineering, or a related field (B.Tech/CS preferred) and must have graduated in 2020 or later.
Eligibility Criteria:
Open to individuals with disabilities, including:
- Physical Disabilities (OH/LD)
- Low Vision
- Deaf
Requirements:
- Basic coding skills and an understanding of database management.
- Interest in learning Azure cloud computing and data engineering.
- Commitment to completing the course and capstone project.
Enrolment Information
Duration: 90 Hours (Fully Virtual Sessions)
Mode: Online
Contact Details :
Mobile No : +919493365748 / +917337877164
Email id : trainings@giftabled.org