Home Azure Data Engineer Certification DP-203

Azure Data Engineer Certification DP-203

With a 100% Job Assistance

Notch up your data engineering career with Microsoft certified Azure Data Engineer Certification course (DP-203). Prepzee brings you a critically curated course by the experts in the industry in Azure DP certification to help you master the skill set required to become an Azure data engineer. Learn using various languages and Azure data services for storing and producing cleansed and enhanced datasets for analysis.

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  • 4.9



  • 4.9

    mentors rating
  • 4.9




93% of our students get employed

Join the course and follow their successful careers!

Azure Data Engineer CertificationKey Features

100% Money Back Guarantee
  • image36 Hrs Instructor-Led Training
  • image40 Hrs Self-paced Videos
  • image32 Hrs Project & Exercises
  • imageNASSCOM CertificationLifetime Free Upgrade
  • imageJob Assistance
  • imageFlexible Schedule
  • imageLifetime Free Upgrade
  • imageMentor Support

About Profession

An Azure data engineer has expertise in the integration, transformation, and consolidation of data.

Designing, implementing, monitoring, and optimizing data.
Handling unforeseen issues swiftly and minimizing loss of data.
Using different Azure data services and languages.

Future of Data Engineer course

  • Up to 59% average salary hike
  • 40 LPA Highest Salary

What You will Learn?

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    Introduction to Cloud Computing and Microsoft Azure

    In this Azure Data Factory training course, you understand the basics of cloud computing and get introduced to Microsoft Azure. Get knowledge of Azure Synapse Analytics and Azure DataBricks and work with Azure Stream Analysis. Learn how to use data lake and data factory and deploy the same in relevant pipelines.

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    Serving layer designing and implementing

    Equip yourself with the knowledge of designing multidimensional schema for optimizing analytical workloads. Learn how to transform at scale using Azure Data Factory. Also, learn about designing a modern Data Warehouse and securing data warehouse using Azure Synapse Analytics.

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    Explore, transform and load data in the data warehouse

    et a thorough understanding of big data engineering. Use Azure Synapse Analytics Apache Spark, loading data with Apache Spark notebooks and transforming data using DataFrames in Apache Spark Pools.

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    Azure Data Engineer Certification

    The curriculum of the MS Azure DP-203 Certification course, designed by experts in the industry, is in accordance with the requirements for clearing the Microsoft Azure Data Engineer Certification (DP-203). Other than general guidelines, you will have help with preparing a resume, potential interview questions, mock interviews, and a reliable certification to go with it.

Skills Covered, Tool Covered

Placement Overview

  • 8.4 Lakhs
    Average CTC offered
  • 9 Days
    Placement time
  • Upto 350%
    Salary hike

Career Transition

Azure DP-203 Certification is for you if:

We will assign you a top Expert from below

View our Expert currently online

Neerav Jain

Amazon Authorised Instructor
4.9 Average Rating

12+ Years in Cloud

Microsoft, Adobe & AWS certified young and dynamic professional with 14+ years of industry experience. Trained 8200+ professionals, and counting, on all cloud technologies including AWS, Azure and GCP, DevOps, AEM, iOS, UI/UX, Digital Marketing & advanced Front End and Backend development technologies.

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Sidharth Kanan

Microsoft Certified Trainer
Average Rating

As a Data Engineer, I have 15+ yrs experience working on different cloud environments on various projects.I currently lead multi-work stream projects as a Cloud analyst and DevOps Engineer. Technologies I work on AWS, AZURE,Git hub, Jenkins, Ansible, Docker, Kubernetes ,Python ,Data Science On Azure and many more.

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Manohar G

Manager at HP
Average Rating

Engaging, understanding, and knowledgeable technical trainer with over 14+ years of experience in a variety of software programs and technologies including Data Science, Artificial Intelligence, Data Engineering, Business Intelligence AWS, Azure and GCP, DevOps, AEM, iOS, UI/UX.

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Pratik Kheria

Microsoft Certified Trainer
Average Rating

Always learning and always yearning with experience of more than 10+ yrs, have delivered more than 200+ mentoring/ training sessions online on Microsoft Azure, Amazon web services, Cyber Security, Python, Tableau and Power BI to more than 20000 students.

Chat Now

Azure Data Engineer Course Curriculum

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    36 Hrs Instructor-Led Training
  • image
    24 Projects Industry Cases
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    1 - 1 Placement mentoring
  • image
    Participate in monthly contests

1.1: Introduction to cloud computing
1.2: What is Microsoft Azure
1.3: Introduction to Azure Synapse Analytics
1.4: Describe Azure Databricks
1.5: Introduction to Azure Data Lake storage
1.6: Describe Delta Lake architecture
1.7: Work with data streams by using Azure Stream Analytics

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2.1: Design a multidimensional schema to optimize analytical workloads
2.2: Code-free transformation at scale with Azure Data Factory
2.3: Populate slowly changing dimensions in Azure Synapse Analytics pipelines

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3.1: Design a Modern Data Warehouse using Azure Synapse Analytics
3.2: Secure a data warehouse in Azure Synapse Analytics

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4.1: Explore Azure Synapse serverless SQL pools capabilities
4.2: Query data in the lake using Azure Synapse serverless SQL pools
4.3: Create metadata objects in Azure Synapse serverless SQL pools
4.4: Secure data and manage users in Azure Synapse serverless SQL pools

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5.1: Understand big data engineering with Apache Spark in Azure Synapse Analytics
5.2: Ingest data with Apache Spark notebooks in Azure Synapse Analytics
5.3: Transform data with DataFrames in Apache Spark Pools in Azure Synapse Analytics
5.4: Integrate SQL and Apache Spark pools in Azure Synapse Analytics
• Integrate SQL and Apache Spark pools in Azure Synapse Analytics

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6.1: Describe Azure Databricks
6.2: Read and write data in Azure Databricks
6.3: Work with DataFrames in Azure Databricks
6.4: Work with DataFrames advanced methods in Azure Databricks

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7.1: Use data loading best practices in Azure Synapse Analytics
7.2: Petabyte-scale ingestion with Azure Data Factory or Azure Synapse Pipelines

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8.1: Data integration with Azure Data Factory or Azure Synapse Pipelines
8.2: Code-free transformation at scale with Azure Data Factory or Azure Synapse Pipelines

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9.1: Orchestrate data movement and transformation in Azure Data Factory or Azure Synapse Pipelines

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10.1: Optimize data warehouse query performance in Azure Synapse Analytics
10.2: Understand data warehouse developer features of Azure Synapse Analytics

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11.1: Analyze and optimize data warehouse storage in Azure Synapse Analytics

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12.1: Design hybrid transactional and analytical processing using Azure Synapse Analytics
12.2: Configure Azure Synapse Link with Azure Cosmos DB
12.3: Query Azure Cosmos DB with Apache Spark for Azure Synapse Analytics
12.4: Query Azure Cosmos DB with SQL serverless for Azure Synapse Analytics

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13.1: Secure a data warehouse in Azure Synapse Analytics
13.2: Configure and manage secrets in Azure Key Vault
13.3: Implement compliance controls for sensitive data

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14.1: Enable reliable messaging for Big Data applications using Azure Event Hubs
14.2: Work with data streams by using Azure Stream Analytics
14.3: Ingest data streams with Azure Stream Analytics

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15.1: Process streaming data with Azure Databricks structured streaming

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16.1: Create reports with Power BI using its integration with Azure Synapse Analytics

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17.1: Use the integrated machine learning process in Azure Synapse Analytics

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    Frequently Asked Questions

    Prepzee offers the Azure data factory certification training, which is essential for passing the Microsoft Azure Data Engineer Certification (DP-203) exams. With this training, you will develop the skills required for managing and developing data processing, implementing a data storage solution, and monitoring and optimizing data solutions through hands-on projects. You will learn from the curriculum designed by industry experts, and work on assignments- bit-by-bit and on real-time highly relevant Azure projects. The training equips you to confidently apply for jobs in leading MNCs of the world at impressive pay. With Prepzee, you get lifetime access to course materials, videos, 24/7 support, and updated versions of the course minus extra fees. It is certainly a wise one-time investment.

    Prepzee offers 24/7 support to resolve queries. You raise the issue with the support team at any time. You can also opt for email assistance for all your requests. If not, a one-on-one session can also be arranged with the team. This session is, however, only provided for six months starting from your course date.

    All Python certified experts at Prepzee have over twelve years of experience relevant to the industry. They are rightfully the experts on the subject matter, given that they have been actively working in the domain as consultants. You can check out the sample videos to ease your doubts.

    Prepzee provides active assistance for job placement to all candidates who have completed the training successfully. Additionally, we help candidates prepare for résumé and job interviews. We have exclusive tie-ups with reputed companies.

    Projects included in the training program are updated and hold high relevance and value in the real world. Projects help you apply the acquired learning in real-world industry structures. Training involves several projects that test practical knowledge, understanding, and skills. High-tech domains like e-commerce, networking, marketing, insurance, banking, sales, etc., make for the subjects of the projects you will work on. After completing the Projects, your skills will be synonymous with months of meticulous industry experience.

    Prepzee's Course Completion Certificate is awarded once the training program is completed, along with working on assignments, real-world projects, and quizzes, with a least 60 percent score in the qualifying exam.

    Actually, no. Our job assistance program intends to help you land the job of your dreams. The program offers opportunities to explore competitive vacancies in the corporates and look for a job that pays well and matches your profile and skill set. The final hiring decision will always be based on how you perform in the interview and the recruiter's requirements.