Key Features Of Azure Data Engineer Training In Hyderabad
Why Choose Us
-
Ingesting Data from various sources (databases, APIs)
-
Transforming and Cleaning Data
-
Weekly Test + Weekend Doubt clearing class
-
Comprehensive Curriculum
-
Hands-On Training
-
Expert Gen AI Coaches
-
Free Demo Class
-
100% Guaranteed Placement Assistance
-
Free Interview preparation Sessions
-
Flexible Learning Modes
-
Project-Based Learning
-
Affordable Fees
Course Content Of Azure Data Engineer Training In Hyderabad
Course Content
Introduction to Azure Data Engineer
What is Data Engineering?
Overview of Microsoft Azure Cloud
Key Responsibilities of an Azure Data Engineer
Azure Data Engineering Career Path and DP-203 Certification Overview
Data Storage in Azure
Azure Storage Options Overview
Azure Data Lake Storage Gen2
Azure Blob Storage
Azure SQL Database
Cosmos DB
Choosing the Right Storage Option
Managing Data Security (Access keys, SAS tokens, RBAC)
Data Ingestion and Integration
Azure Data Factory (ADF)
Linked Services, Datasets, Pipelines
Mapping Data Flows
Triggers and Scheduling
Integration Runtimes and Self-hosted Integration
Ingesting Data from On-prem, REST APIs, FTP, and Cloud
Data Processing and Transformation
Azure Synapse Analytics
Dedicated SQL pools vs Serverless SQL pools
Writing Queries in Synapse
Azure Databricks
Intro to Apache Spark
Notebooks, Clusters, and Workflows
DataFrames and PySpark
ETL using Spark on Databricks
Azure Stream Analytics
Real-time data processing
Querying live data streams
Data Storage and Modeling
Star and Snowflake Schema
Dimensional Modeling Techniques
Data Warehousing in Synapse Analytics
Partitioning, Indexing, and Performance Optimization
Data Orchestration and Automation
Building Data Pipelines in ADF
Monitoring and Logging Pipelines
Parameterization and Reusability
Triggering Pipelines based on Events and Schedules
Integrating with Azure DevOps for CI/CD
Data Security, Privacy, and Compliance
Data Encryption at Rest and In-Transit
Azure Key Vault for Credential Management
Role-Based Access Control (RBAC)
Data Masking, Purview for Governance
GDPR, HIPAA Compliance Basics
Monitoring and Optimization
Azure Monitor and Log Analytics
Pipeline and Query Performance Tuning
Cost Management and Optimization Strategies
Managing Quotas and Limits
Business Intelligence and Visualization
Connecting Synapse to Power BI
Building Dashboards and Reports
DirectQuery vs Import Modes
Data Refresh and Gateway Configuration
Azure Data Engineering
Azure Data Engineer Training in Hyderabad
Whether you're a student, a working professional, or a career switcher, our training programs are tailored to your needs. Join us and master data science with one of Hyderabad's top-rated institutes.
Typical Azure Data Engineering Architecture
[Data Sources]
↓
+——————-+
| Azure Data Factory|
+——————-+
↓
+———————–+ +——————–+
| Azure Data Lake Gen2 | <–→–> | Azure Synapse / SQL |
+———————–+ +——————–+
↓
+—————–+ +———————-+
| Azure Databricks| –> ML | Power BI / Reporting |
+—————–+ +———————-+
Features List
Where is Used Azure Data Engineering ?
-
E-Commerce & Retail Kinesis (real-time tracking), Glue (ETL), S3 (data lake), Redshift (analytics), SageMaker (ML)
-
Healthcare & Life Sciences AWS Glue, S3 (encrypted), Lake Formation, Redshift, SageMaker
-
Financial Services (Banking, Insurance, Fintech) Kinesis (streaming), DynamoDB (fast storage), Athena (SQL queries), QuickSight (dashboards)
-
Media & Entertainment EMR (Spark processing), S3, SageMaker, Glue, QuickSight
-
Telecommunications Kinesis, S3, Redshift, Glue, ML services
-
Education & EdTech Lambda, S3, QuickSight, Redshift, Glue
Skills Required for Azure Data Engineers
Proficiency in SQL, Python, Spark, ETL
Knowledge of Azure Services (especially Data Factory, Synapse, Databricks)
Understanding of data modeling and data warehousing
Experience with DevOps practices and tools (e.g., CI/CD in data pipelines)
Familiarity with cloud security, monitoring, and governance
Core Azure Services Used in Data Engineering
| Category | Azure Services |
|---|---|
| Storage | Azure Data Lake Storage Gen2, Azure Blob Storage, Azure SQL Database, Cosmos DB |
| Data Movement / Ingestion | Azure Data Factory, Azure Synapse Pipelines, Event Hubs, IoT Hub |
| Processing | Azure Databricks, Azure Synapse Analytics, Azure Stream Analytics |
| Orchestration | Azure Data Factory |
| Analytics / BI | Power BI, Synapse Analytics |
| Security | Azure Key Vault, Azure Active Directory, Defender for Cloud |
| Monitoring | Azure Monitor, Azure Log Analytics |
Our Services
Say a load of old tosh no biggie gosh argy-bargy Jeffrey up the kyver you mug buggered tosser, chip shop on your bike mate.
Online
- Basic to advanced level
- Daily recorded videos
- Live project included
- Course Material Dumps
- 100% Placement assistance
Offline
- Basic to advanced level
- Daily recorded videos
- Live project included
- Course Material Dumps
- 100% Placement assistance
Corporate
- Whatsapp Group Access
- Doubt Clearing Sessions
- Live project included
- Course Material Dumps
- 100% Placement assistance
"Transitioning from a Zonal Manager to a Data Scientist was a bold move, but Provoke Trainings made it seamless. The curriculum was comprehensive, and the hands-on projects were invaluable. I now apply advanced analytics daily to solve complex business problems.
Mahesgh Goud