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Empower Data. Build Insights. Transform with Azure.
The Azure Data Engineer Program at TGS Training Institute is a comprehensive, job-oriented training program designed to help you master data engineering and analytics using Microsoft Azure. Learn to design, build, and manage scalable data solutions that turn raw data into actionable business intelligence.
This program takes you from data fundamentals to advanced cloud data engineering, preparing you for global roles as an Azure Data Engineer, Data Architect, or Cloud Data Specialist.
Empower Data. Build Insights. Transform with Azure.
The Azure Data Engineer Program at TGS Training Institute is a comprehensive, job-oriented training program designed to help you master data engineering and analytics using Microsoft Azure. Learn to design, build, and manage scalable data solutions that turn raw data into actionable business intelligence.
This program takes you from data fundamentals to advanced cloud data engineering, preparing you for global roles as an Azure Data Engineer, Data Architect, or Cloud Data Specialist.
8th October
07:00 AM TO 08:00 AM
80-100 Days
Training
At JVSIT & TGS Training Institute, our Azure Data Engineer Training blends foundational concepts with real-world data engineering practices on Microsoft Azure. You’ll gain hands-on experience with tools such as Azure Data Factory, Synapse Analytics, Databricks, Data Lake, and Power BI. Learn to create end-to-end data pipelines, perform ETL operations, and build analytics-ready architectures that power data-driven decisions.
Day 1
Types of applications
Roles in software industry
Responsibilities of each role
Introduction to What WG
Day 2
Software development life cycles
Types of SDLC
Day 3
Water Fall Model
V Model
Circler Model
Day 4
Agile Model
Domain choosing
Project choosing
Modules and functionalities finding
Day – 5
Introduction to UI-UX
Introducing FIGMA tool
Day – 6
Optimal design principles of database, business logic
Time and Space complexity
Day 7
GitHub with sample HTML page
Creating Repos
Creating LinkedIn account
Day 8
Difference between platform and domain
Requirement gathering for 2 real time scenarios using Agile
Day 9
Deployment methods on hostings
Knowledge about servers and load balancers
Day 10
Power of AI and prompting (webinar)
Using Copilot tool
Using ChatGPT
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Day – 6
Form tags and Attributes
MultiMedia tags
Assignment – Naasongs.
Assignment – Sample login, register, forgot password pages
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Day – 7
Hibernate and Spring
Day – 1
1.Introduction to Spring Boot
2.Setting Up Spring Boot and Creating a Basic Program
If you need the sample Spring Boot application code as text:
java
}
Day – 2
text
// Sample application.properties
spring.datasource.url=jdbc:h2:mem:testdb
spring.jpa.hibernate.ddl-auto=update
Day – 3
text
// Sample Actuator Configuration
management.endpoints.web.exposure.include=health
Day – 4
java
// Sample JPA Entity
@Entity
public class User {
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
private Long id;
private String name;
// getters and setters
}
Day – 5
java
// Sample Security Configuration
@Configuration
@EnableWebSecurity
public class SecurityConfig extends WebSecurityConfigurerAdapter {
@Override
protected void configure(HttpSecurity http) throws Exception {
http
.csrf().disable()
.authorizeRequests()
.antMatchers(“/public/**”).permitAll()
.anyRequest().authenticated();
}
}
Day – 6
java
// Sample REST Controller
@RestController
@RequestMapping(“/api/users”)
public class UserController {
@GetMapping
public List getAllUsers() {
// return list of users
}
@PostMapping
public User createUser(@RequestBody User user) {
// create and return user
}
}
Day – 7
text
# Sample Dockerfile
FROM openjdk:11-jre-slim
COPY target/demo-0.0.1-SNAPSHOT.jar app.jar
ENTRYPOINT [“java”, “-jar”, “/app.jar”]
Day – 8
java
// Sample Eureka Server Configuration
@SpringBootApplication
@EnableEurekaServer
public class EurekaServerApplication {
public static void main(String[] args) {
Day – 9
java
// Sample Microservice Configuration
@SpringBootApplication
@EnableDiscoveryClient
public class MicroserviceApplication {
public static void main(String[] args) {
SpringApplication.run(MicroserviceApplication.class, args);
}
}
SpringApplication.run(EurekaServerApplication.class, args);
}
}
Day – 10
java
// Sample Asynchronous Method
@Service
public class MyService {
@Async
public CompletableFuture AsyncMethod() {
return CompletableFuture.completedFuture(“Async Result”);
}
}
Day – 11
text
# Sample Kubernetes Deployment YAML
apiVersion: apps/v1
kind: Deployment
metadata:
name: spring-boot-app
spec:
replicas: 2
selector:
matchLabels:
app: spring-boot-app
template:
metadata:
labels:
app: spring-boot-app
spec:
containers:
– name: spring-boot-app
image: spring-boot-app:latest
ports:
– containerPort: 8080
It’s a professional training program that teaches you to design and implement data pipelines, storage, and analytics solutions using Azure.
Students, developers, analysts, and IT professionals seeking to build or advance a career in cloud-based data engineering.
Basic knowledge of SQL, data concepts, and cloud fundamentals is helpful but not mandatory. Beginners can learn through guided instruction.
You’ll learn Azure Data Factory, Synapse Analytics, Databricks, Data Lake, Power BI, and Azure Storage with end-to-end project implementation.
You’ll use Azure Portal, Data Factory, Synapse Studio, Power BI, Databricks, and Azure CLI to build scalable data solutions.
Empowering careers with tech and hands-on learning. 15,000+ trained, 10,000+ placed, 20+ global partners.
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