Microsoft Azure Data Factory Training

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  • Project Based Learning
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  • Course Completion Certificate
  • Lifetime e-Learning Access
  • 24x7 After Training Support

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Microsoft Azure Data Factory Training Course Overview

Learn Microsoft Azure Data Factory with Multisoft Systems' global subject matter experts! Our comprehensive course will equip you with the skills and knowledge to succeed in the industry. With practical exercises and hands-on experience, you'll be able to take your career to the next level. Enroll now and gain the expertise you need

The Microsoft Azure Data Factory course provides a comprehensive understanding of the Azure Data Factory platform, a cloud-based data integration service used to create, schedule, and manage workflows that move and transform data. Participants will learn to use Azure Data Factory to integrate disparate data sources, transform data, and create data pipelines for big data and data warehousing scenarios. The course covers key topics such as data ingestion, data transformation, data loading, and monitoring and managing pipelines. With hands-on exercises and practical examples, participants will gain the skills needed to design and implement effective data integration solutions on Azure Data Factory.

In Multisoft Systems, candidates get one-on-one and corporate training by global subject matter experts of Microsoft Azure Data Factory course. In Microsoft Azure Data Factory course, a team of professionals guide candidates to gain hands-on experience through real-world assignments and projects which will help candidates to advance their skills. With an industry-based curriculum, Multisoft Systems delivers project-driven corporate training. Once candidates enroll for themselves for Multisoft Systems’s Microsoft Azure Data Factory course then will be getting lifetime access to the online learning environment, digital course materials, round-the-clock after-training support, and video recordings, and once the complete the course successfully candidates will earn globally recognized certificate.

Microsoft Azure Data Factory Course Objective
  • Basic understanding of data integration concepts
  • Experience with Microsoft Azure
  • Familiarity with programming languages such as Python, Java or C#
  • Experience with SQL and data warehousing concepts
  • Basic knowledge of ETL (Extract, Transform, Load) and data integration tools
  • Access to a computer with a reliable internet connection
  • An Azure account with appropriate permissions to create and manage data factories.
Microsoft Azure Data Factory Online Training
  • Recorded Videos After Training
  • Digital Learning Material
  • Course Completion Certificate
  • 24x7 After Training Support
Target Audience
  • Data engineers
  • Data architects
  • ETL developers
  • Cloud solution architects
  • Database developers
  • Data analysts
Microsoft Azure Data Factory Course Prerequisites
  • Basic understanding of data integration concepts
  • Experience with Microsoft Azure
  • Familiarity with programming languages such as Python, Java or C#
  • Experience with SQL and data warehousing concepts
  • Basic knowledge of ETL (Extract, Transform, Load) and data integration tools
  • Access to a computer with a reliable internet connection
  • An Azure account with appropriate permissions to create and manage data factories.
Microsoft Azure Data Factory Course Certification
  • Multisoft Systems provides a training certification after successful completion of Microsoft Azure Data Factory course.

Microsoft Azure Data Factory Training Course Content

Module 1: Introduction to Azure Data Factory

  • Understanding Azure Data Factory
  • Introduction to ETL
  • Data Factory Components and Architecture

Module 2: Data Ingestion

  • Understanding Data Ingestion
  • Using Azure Blob Storage as a Source
  • Using Azure SQL Database as a Source
  • Using On-premises SQL Server as a Source
  • Using RESTful API as a Source

Module 3: Data Transformation

  • Introduction to Data Transformation
  • Transforming Data with Mapping Data Flows
  • Data Flow Debugging and Tracing
  • Data Flow Performance Tuning
  • Using Stored Procedures in Data Flow

Module 4: Data Loading

  • Understanding Data Loading
  • Loading Data to Azure SQL Database
  • Loading Data to Azure Synapse Analytics
  • Loading Data to Azure Cosmos DB
  • Loading Data to Azure Blob Storage
  • Incremental Loading

Module 5: Monitoring and Management

  • Monitoring Pipelines
  • Managing Pipelines
  • Pipeline Orchestration
  • Scheduling Pipelines
  • Integration with Other Azure Services

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Free Microsoft Azure Data Factory Training Assessment

This assessment tests understanding of course content through MCQ and short answers, analytical thinking, problem-solving abilities, and effective communication of ideas. Some Multisoft Assessment Features :

  • User-friendly interface for easy navigation
  • Secure login and authentication measures to protect data
  • Automated scoring and grading to save time
  • Time limits and countdown timers to manage duration.
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Microsoft Azure Data Factory Corporate Training

Employee training and development programs are essential to the success of businesses worldwide. With our best-in-class corporate trainings you can enhance employee productivity and increase efficiency of your organization. Created by global subject matter experts, we offer highest quality content that are tailored to match your company’s learning goals and budget.


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Learning Assessment

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Certification Training Achievements: Recognizing Professional Expertise

Multisoft Systems is the “one-top learning platform” for everyone. Get trained with certified industry experts and receive a globally-recognized training certificate. Some Multisoft Training Certificate Features :

  • Globally recognized certificate
  • Course ID & Course Name
  • Certificate with Date of Issuance
  • Name and Digital Signature of the Awardee
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Microsoft Azure Data Factory Training FAQ's

Azure Data Factory is a cloud-based data integration service used to create and manage data workflows between cloud and on-premises data sources. SSIS, on the other hand, is an on-premises ETL tool used to extract, transform, and load data between various data sources. Azure Data Factory provides integration with various Azure services and supports scalable data integration scenarios.

Familiarity with programming languages such as Python, Java or C# is recommended for the Azure Data Factory course. However, it is not mandatory to have programming experience to enroll in the course. The course covers the basics of programming languages used in data integration scenarios, making it suitable for both beginners and experienced professionals.

It is recommended to have experience with Microsoft Azure before enrolling in the Azure Data Factory course. Basic knowledge of Azure services such as Blob Storage, SQL Database, and Synapse Analytics is useful for the course. However, the course covers the fundamentals of Azure Data Factory and its integration with other Azure services, making it suitable for beginners as well.

The Azure Data Factory course can be delivered in various formats such as instructor-led training, virtual instructor-led training, and self-paced online training. Instructor-led training is delivered in a classroom setting, while virtual instructor-led training is delivered online. Self-paced online training allows learners to access the course content at their own pace and convenience.

Azure Data Factory professionals can find job roles such as Data Engineer, Data Integration Developer, Cloud Solution Architect, and ETL Developer. They can work in various industries such as finance, healthcare, retail, and manufacturing, among others.

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