Introduction:

Our comprehensive Azure Data Engineer training in Hyderabad in globalsoft18 is specifically designed to equip you with the knowledge and expertise required to excel in this dynamic field. Whether you’re a beginner taking your first steps into data engineering or an experienced professional looking to expand your skill set, our training program will provide you with the necessary tools and resources to succeed. Azure, Microsoft’s powerful cloud computing platform, offers a wide range of services and tools that enable organizations to harness the full potential of their data. As an Azure Data Engineer, you’ll have the opportunity to leverage Azure’s robust infrastructure, seamless data integration capabilities, and advanced analytics tools to tackle complex data engineering challenges.

By enrolling in our Azure Data Factory training in Hyderabad, you’ll gain in-depth knowledge and hands-on experience in working with this powerful tool. Our expert trainers, who bring extensive industry experience to the classroom, will guide you through real-world scenarios and best practices, ensuring that you develop the skills necessary to architect, implement, and maintain data pipelines using Azure Data Factory.

Scope of Azure:

Azure, Microsoft’s cloud computing platform, offers a wide array of services and tools to meet the growing demands of the data-driven world. As a data engineer, embracing Azure can significantly amplify your capabilities. Azure provides a robust and scalable infrastructure for managing data, enabling you to collect, store, process, and analyze vast amounts of information. With Azure, you can seamlessly integrate on-premises and cloud-based data sources, enabling you to derive valuable insights and drive informed business decisions.

Why Choose Global Soft18:

There are several compelling benefits to choosing Global Soft18 for your Azure Data Engineer training. Our training program offers a unique combination of expertise, resources, and support that sets us apart from the competition. Here are some key benefits of choosing Global Soft for your Azure Data Engineer journey

  • Expert Trainer
  • Comprehensive Curriculum
  • Hands-on Learning
  • Flexible Learning Options
  • Placement Assistance
  • Personalized Support
  • Online Teaching

Duration : 30 working days + 5 days project explanations

 Syllabus:

1. Introduction to Data Engineering
– Overview of Cloud Computing (PAAS, IAAS, SAAS)
– Creating azure subscription free trail
– Overview of Azure Components (Azure portal)

2. Azure Data Lake Storage?
– When to use Azure Data Lake Storage?
– How Azure Data Lake Storage works?
i. Ingesting data.
ii. Accessing stored data.
iii. Setting access control features

3. Introduction to Azure Data Factory
– Integrate data with Azure Data Factory
– Understand Azure Data Factory
– Explain the data factory process
– Understand Azure Data Factory components
i. Manage integration runtimes
ii. Create linked services
iii. Create datasets

4. Exploring data factory activities and pipelines
i. Copy activity & General
ii. Iterations and condition
iii. Transformations
iv. Analytics
v. Delete
vi. Web

5. Introduction to Spark engine
– Spark architecture fundamentals.
– Types of Clusters

6. Analytics Services (Azure Databricks) overview
– Understand the Azure Databricks platform
– Understand the fundamentals of Apache Spark notebook
– Access the storage account from Databricks (Mount and Unmounts)
– Work with RDD’s & Data Frames in Azure Databricks
– Read and write data in Azure Databricks using DF’s
i. CSV
ii. JSON
iii. Parquet
iv. Avro
– Widgets & Magic Commands
– Data frame properties
– Control & Conditional structures
– Joins, Unions, UDF’s
– Date functions

– List & Set operations
7. Introduction to Delta Lake tables
– Difference of Delta Lake v/s Data Lake
– Features and advantages
– External and internal tables
– Spark SQL examples with Delta Lake tables

 

8. Logic App’s vs Function App’s with use case scenario’s

9. ADB notebook report generation

10. Introduction to Dev Ops
– Creation of Features & User stories
– Code checking
– Deployment process using CI/CD pipelines

 

Note:
1. Existing project explanation
2. Case studies with Real Time scenarios for better understanding of above learnings if we have time… 🙂