Course Overview

Azure Data Factory Online Training in Mumbai

In the age of big data, businesses are increasingly turning to cloud-based solutions to streamline their data integration and management processes. Azure Data Factory (ADF), a powerful data integration service from Microsoft, is at the forefront of this transformation. With Azure Data Factory, organizations can efficiently move, transform, and manage data across various sources and destinations. As the demand for skilled data professionals rises, online training in Azure Data Factory in Mumbai is becoming essential for those looking to enhance their careers.

What is Azure Data Factory?

Azure Data Factory is a cloud-based data integration service that allows you to create, schedule, and orchestrate data workflows. It enables you to move data from various sources, including on-premises databases, cloud services, and other platforms, to a central location where it can be analyzed and transformed. ADF provides a user-friendly interface and a range of features that facilitate data movement and transformation, making it an invaluable tool for data engineers and analysts.

Key Features of Azure Data Factory

1. Data Ingestion: Azure Data Factory supports a wide variety of data sources, allowing you to ingest data from both cloud and on-premises sources.

2. Data Transformation: With built-in data transformation capabilities, ADF enables users to clean, aggregate, and reshape their data using data flows.

3. Orchestration: ADF allows you to schedule and automate data workflows, ensuring timely and efficient data processing.

4. Monitoring and Management: The service includes monitoring features that provide insights into data pipeline performance and allow for easy troubleshooting.

5. Integration with Azure Services: ADF seamlessly integrates with other Azure services like Azure Machine Learning and Azure SQL Database, enabling more comprehensive data solutions.

Why Choose Online Training for Azure Data Factory in Mumbai?

1. Flexibility: Online training offers the flexibility to learn at your own pace, allowing you to balance your studies with work or other commitments.

2. Expert Instruction: Training programs often feature experienced instructors who provide insights based on real-world experience, enhancing the learning process.

3. Hands-On Experience: Online courses typically include practical exercises and projects, allowing you to apply your skills in a real-world context.

4. Access to Resources: Participants often gain access to a wealth of resources, including tutorials, documentation, and community support, which can be invaluable during and after the training.

5. Career Advancement: Gaining expertise in Azure Data Factory can significantly enhance your career prospects in the growing field of data management and analytics.

Course Content Overview

The Azure Data Factory online training in Mumbai typically covers the following key areas:

1. Introduction to Azure Data Factory: Understand the fundamentals of ADF, its architecture, and its role in modern data integration.

2. Creating Data Pipelines: Learn how to create and manage data pipelines using ADF’s intuitive interface.

3. Data Flows: Explore the data flow feature to perform complex transformations on your data.

4. Debugging and Monitoring: Gain insights into how to monitor your data pipelines and troubleshoot common issues.

5. Integration with Other Services: Understand how to integrate ADF with other Azure services for enhanced data processing capabilities.

6. Best Practices: Learn best practices for designing and implementing efficient data pipelines to optimize performance and reduce costs.

Who Should Enroll?

Azure Data Factory online training is ideal for:

• Data Engineers: Professionals looking to enhance their data integration skills.
• Data Analysts: Individuals who need to manage and analyze large datasets.
• IT Professionals: Those seeking to expand their cloud technology expertise.
• Business Analysts: Professionals interested in leveraging data for better decision-making.

Why BESTWAY Technologies?

BESTWAY Technologies offers comprehensive Azure Data Factory training in Mumbai, featuring:

• Experienced Trainers: Learn from industry experts with extensive experience in data integration and cloud technologies.
• Practical Approach: The training emphasizes hands-on learning, ensuring you gain real-world skills.
• Supportive Environment: Participants receive ongoing support throughout the course, enhancing the learning experience.
• Placement Assistance: BESTWAY Technologies provides job placement assistance, helping you connect with top companies looking for skilled data professionals.

Course Curriculum

Azure Data Factory Course Syllabus 

Class 1:
 Azure Cloud Storage Technologies

Class 2:
 Azure Data Factory Introduction

Class 3:
 ADF_PracticeClass 3_Copy Data Activity_Azure Blob Storage_ADLS Gen2

Class 4:
 ADF_PracticeClass 4_Copy Data from ADLS Gen2 to Azure SQL Database

Class 5:
 ADF_PracticeClass 5_Copy Data from Multiple Files to Multiple Tables using Dataset Parameters

Class 6:
 ADF_PracticeClass 6_Bulk Data Ingestion of Tables using Custom SQL Queries

Class 7:
 ADF_PracticeClass 7_GetMetaData Activity_Introduction

Class 8:
 ADF_PracticeClass 8_Bulk Data Ingestion of Multiple CSV Files To Multiple Tables

Class 9:
 ADF_PracticeClass 9_Bulk Data Ingestion of Multiple CSV Files To Multiple Tables Using Configuration File

Class 10:
 ADF_PracticeClass 10_Bulk Data Ingestion of Multiple Tables Using Configuration File

Class 11:
 ADF_PracticeClass 11_Copy Data from Nested JSON Document to Azure SQL Database

Class 12:
 ADF_PracticeClass 12_Reading Data from Single Excel Worksheet

Class 13:
 ADF_PracticeClass 13_Reading Data from Multiple Excel Worksheet Using Pipeline Parameter

Class 14:
 ADF_PracticeClass 14_Reading Data from Multiple Excel Sheets using Lookup Activity_Configuration File

Class 15:
 ADF_PracticeClass 15_Azure Key Vault Integration with ADF

Class 16:
 ADF_PracticeClass 16_Audit Log Implementation

Class 17:
 ADF_PracticeClass 17_Success Audit Log_Failure_Errors_Audit Log

Class 18:
 ADF_PracticeClass 18_Logic Apps_Email Notifications

Class 19:
 ADF_PracticeClass 19_Data Ingestion from On-premise File System To ADLS Gen2_Self Hosted IR

Class 20:
 ADF_PracticeClass 20_Copy Ingestion from On-premise SQL Server To ADLS Gen2_Self Hosted IR

Class 21:
 ADF_PracticeClass 21_Implementation of Delta Load Using WaterMark

Class 22:
 ADF_PracticeClass 22_Incrementallly Copy New Files_LastmodifiedDate

Class 23:
 ADF_PracticeClass 23_Reading Data from XML File to Azure SQL Database

Class 24:
 ADF_PracticeClass 24_DataFlows_Introduction

Class 25:
 ADF_PracticeClass 25_Dataflows_Filter Transformation

Class 26:
 ADF_PracticeClass 26_Dataflows_Filter_Conditional Split_Select_Derived Column Transformations

Class 27:
 ADF_PracticeClass 27_Dataflows_Aggregator_Transformation

Class 28:
 ADF_PracticeClass 28_Dataflows_Flatten_Transformation

Class 29:
 ADF_PracticeClass 29_Dataflows_Pivot_Transformation

Class 30:
 ADF_PracticeClass 30_RESTFul WebService Integration_Introduction

Class 31:
 ADF_PracticeClass 31_Storage Event Trigger

Class 32:
 ADF_PracticeClass 32_Schedule Trigger

Class 33:
 ADF_PracticeClass 33_Tumblng Window Trigger

Class 34:
 PracticeClass 34_Databricks Notebook_Integration with Azure Data Factory

Class 35:
 ADF_PracticeClass 35_SCD Type1 Dimension_Implementation

Class 36:
 ADF_PracticeClass 36_SCD Type2 Dimension_Implementation

Class 37:
 ADF_PracticeClass 37_Execute Copy Activity based on File Count in the Container

Class 38:
 ADF_PracticeClass 38_FilteringFileFormats_Getmetadata_Filter_ForEach_Copy_Activity

Faq’s

Reviews

Azure Data Factory Mumbai Rated 4.7 based on 3 reviews. View all reviews »

Locations

• Mumbai