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Microsoft Azure Data Engineer [DP-203] Online Training and Certification Course

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Multisoft Virtual Academy is offering Data Engineer on Microsoft Azure [DP-203] Training for Data professionals, Data architects, Data analysts, Data scientists and Business intelligence professionals. Students applying for this online training course should have in-depth knowledge of cloud computing, professional experience and clear understanding of core concepts data solutions.

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Instructor-led Training Live Online Classes

Suitable batches for you

03 May 2025 32 06:00 PM - 10:00 AM Sat, Sun
04 May 2025 32 06:00 PM - 10:00 AM Sat, Sun
10 May 2025 32 06:00 PM - 10:00 AM Sat, Sun
11 May 2025 32 06:00 PM - 10:00 AM Sat, Sun

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Instructor-led Training Live Online Classes

03 May 2025 32 06:00 PM - 10:00 AM Sat, Sun
04 May 2025 32 06:00 PM - 10:00 AM Sat, Sun
10 May 2025 32 06:00 PM - 10:00 AM Sat, Sun
11 May 2025 32 06:00 PM - 10:00 AM Sat, Sun

Course Price At

$ 550

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Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You’ll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.

Course Price At

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Instructor-Led Online Training Parameters

Course Highlights

  • Duration: 32 Hrs.
  • Subject Matter Expert
  • After Training Support
  • Recorded Sessions
  • Lifetime e-Learning Access
  • Free Online Assessments
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Microsoft Azure Data Engineer Training Course Syllabus

Curriculum Designed by Experts

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Multisoft Virtual Academy has designed the DP-203T00: Data Engineering on Microsoft Azure Online Training for the Data professionals, Data architects, Data analysts who are responsible for building Microsoft Azure, Data scientists who work with analytical solutions, and Business intelligence professionals who want to learn data engineering. DP-203T00: Data Engineering on Microsoft Azure Online Training requires in-depth knowledge of cloud computing, core data concepts, and experience with data solutions. It is suggested for you after you have earned the AZ-900 - Azure Fundamentals and DP-900 - Microsoft Azure Data Fundamentals courses. 

This 32-hour instructor-led online training tells the importance of implementing security to ensure data is protected and imparts the knowledge of transforming data. It will give you a familiarity with the methodologies of creating a real-time analytical system for real-time analytical solutions and the technologies that are used to ingest data. 

In its successful completion, the aspirants will learn: 

  • How to ingest and load Data into the Data Warehouse?
  • How to perform end-to-end security with Azure Synapse Analytics?
  • How to support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link?
  • How to explore and transform data into the Data Warehouse using Apache Spark?
  • How to create a Stream Processing Solution with Event Hubs and Azure Databricks?
  • How to integrate Data from Notebooks with Azure Synapse Pipelines or Azure Data Factory?
  • How to describe big data engineering with Apache Spark in Azure Synapse Analytics?
  • How to transform data with DataFrames in Apache Spark Pools in Azure Synapse Analytics?
  • How to perform data Exploration and Transformation in Azure Databricks?
  • How to transform data with Azure Data Factory or Azure Synapse Pipelines?

DP-203T00 is a Microsoft Azure online training course focused on data engineering. It is designed to provide participants with the knowledge and skills required to work with data on the Azure platform. The course typically covers a range of topics related to data engineering, data processing, and data integration using Azure services.

  • Overview of Azure Data services.
  • Understanding data engineering concepts and principles.
  • Exploring data engineering use cases.
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  • Azure Storage services (e.g., Blob storage, Data Lake Storage).
  • Data storage options and best practices.
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  • Creating data pipelines using Azure Data Factory.
  • Data transformation and orchestration.
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  • Introduction to Azure Databricks.
  • Big data processing and analytics.
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  • Azure Data Lake Storage and Data Factory integration.
  • Real-time data integration using Azure services.
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  • Overview of Azure Synapse Analytics (formerly SQL Data Warehouse).
  • Building data warehouses and analytics solutions.
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  • Implementing data security measures in Azure.
  • Compliance considerations and best practices.
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  • Monitoring and optimizing data workflows.
  • Performance tuning and cost management.
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  • Practical exercises and case studies to apply the knowledge gained.
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  • Information on certification exams related to Azure data engineering.
  • Guidance on further learning and career advancement.
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Microsoft Azure Data Engineer Training Description

The course DP-203T00: Data Engineering on Microsoft Azure is designed to help individuals gain the skills and knowledge needed to work with data engineering technologies and tools on the Microsoft Azure cloud platform. Here are the primary course objectives:

  • Understand Data Engineering Concepts: Gain a solid understanding of data engineering principles and concepts, including data pipelines, data lakes, data warehouses, and ETL (Extract, Transform, Load) processes.
  • Azure Data Services: Learn about the various data services and tools available on Microsoft Azure for data engineering, such as Azure Data Factory, Azure Databricks, Azure SQL Data Warehouse, and Azure Stream Analytics.
  • Data Ingestion: Explore methods and best practices for ingesting data into Azure, including batch data ingestion and real-time data ingestion.
  • Data Transformation: Learn how to transform and manipulate data using Azure Data Factory and Azure Databricks, including data cleansing, data enrichment, and data transformation techniques.
  • Data Storage: Understand the different data storage options available on Azure, including Azure Data Lake Storage and Azure Blob Storage, and how to use them effectively for storing and managing data.

  • Data professionals
  • Data architects
  • Business intelligence professionals who want to learn data engineering 
  • Data analysts who are responsible for building Microsoft Azure
  • Data scientists who work with analytical solutions 

You need to have in-depth knowledge of cloud computing to pursue this DP-203T00: Data Engineering on Microsoft Azure Online Training. Knowing core data concepts and having professional experience with data solutions are necessary for earning this course. 

Free Microsoft Azure Data Engineer Training Assessment

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Microsoft Azure Data Engineer Training Certification

Multisoft Virtual Academy provides a globally recognized training certificate to the participants, after successful completion of a training program. The training certificates are recognized and accepted across the world.

Multisoft Virtual Academy's training certificate comes with lifetime validity.

Aspirants can directly enroll for the desired course from the Book Now Button in the course page. You can also connect on Whatsapp at +91 8130666206 to talk with a training advisor. Multisoft Virtual Academy also offers customized training programs on a wide range of domains and skills.

All training programs offered by Multisoft Virtual Academy are delivered by certified industry experts, who have years of experience in the relevant domains. Multisoft Global Subject Matter Experts impart knowledge on a wide variety of training courses through one –on-one and corporate training sessions.

Multisoft Virtual Academy training certification can help participants stand out in the competitive job market. Since the training certificates are internationally accepted, participants can showcase their skills and knowledge to employers across the world.
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