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Azure Data Factory Training for DP-203 Certification

4.8 510 Ratings 2,827 Learners

This Microsoft Azure Data Factory training will equip you with the skills to perform Big Data Engineering on Microsoft Cloud Services. You will learn how to connect Power BI with a data lake and how to use a data factory. This also covers real-time industry use cases and project work to give you hands-on experiences on using data factory and data lake and deploy the same in relevant software pipelines. Learn Azure data factory from the best Microsoft certified data factory experts.

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Key Features

30 Hrs Instructor-led Training
30 Hrs Self-paced Videos
24 Hrs Project Work & Exercises
Flexible Schedule
24 x 7 Lifetime Support & Access
Get Certified & Job Assistance

Career Transitions

Devendra Joshi
Devendra Joshi
System Admin to Devops Engg.
Sr. System Administrator Linux & AWS intellipaat-image
Sr. DevOps Engineer and AWS Lead intellipaat-image
Keyur Patel
Keyur Patel
Support Engg. to Cloud Engg.
IT Infrastructure Support Engineer intellipaat-image
Associate Cloud Engineer intellipaat-image
Herin Wilson
Herin Wilson
Non Tech to AWS Solution Architect
Process Associate intellipaat-image
AWS Solution Architect intellipaat-image
Anil Sharma
Anil Sharma
Non Tech to AWS Solution Architect
Customer Support Executive intellipaat-image
AWS Solution Architect intellipaat-image
Deepanshu Pandey
Deepanshu Pandey
Non Tech to DevOps Engg.
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Course Benefits

4.8/5 Student Satisfaction Rating
Students Transitioned for Higher Positions
Started a New Career After Completing Our Courses
Got Better Salary Hike and Promotion
Average Salary Per Year $ 7504
Entry-Level Developer
Data Warehouse Engineer
Experienced Azure Data Factory Expert
$ 5353 Starting
$ 7504 Median
$ 14526 Experienced
Companies Hiring Azure Data Factory Experts
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And 1,000+ Global Companies

Microsoft Azure Data Factory Training Overview

Intellipaat Microsoft Azure DP-203 certification training gives learners the opportunity to get used to implementing Azure Data Solution. This training ensures that learners improve their skills on Microsoft Azure SQL Data Warehouse, Azure Data Lake Analytics, Azure Data Factory, and Azure Stream Analytics, and then perform data integration and copying using Hive and Spark, respectively. Also, real-world projects would be provided. Therefore, the learners will learn to design the Azure Data Solutions, Data Processing, and Data Security.

What will I learn in this Microsoft Azure Data Engineer Certification?

This course will prepare you for exams DP-203 for implementing and designing Azure data solutions, enabling you to design and perform data management, monitoring, security and privacy using the complete Azure data services stack. Further, you will learn the below list of topics:

1. Implement Azure Data Solution (DP 203)

  • Implementing a data storage solution
  • Managing and developing data processing
  • Monitoring and optimizing data solutions

Using Azure Stream Analytics, you can manage real-time event processing applications by scaling it. It promotes greater performance through partitioning, so complicated queries can be parallelized and run on many stream nodes.

With Azure Databricks, you can get the most advanced version of Apache Spark, which will enable you to seamlessly integrate it with the open-sourced libraries. Also, with Azure’s inherent scalability that surpasses every other cloud services, you can easily update the clusters in the Apache Spark.

Azure Cosmos DB leverages the Jupyter notebooks and Apache Spark to reduce the time to insights by collecting and serving data and performing analysis on local database copies in Azure regions. In this DP-203 certification, you will cover this topic in detail.

Yes, Azure SQL Database is included in this DP-203 certification course.

This Microsoft Azure Data Factory certification is ideal for candidates who are looking to start their career or already working in the following roles:

  • Data Engineers
  • Data Architects
  • Data Scientists
  • Data Analysts

Further, candidates who design analytics solutions and build operationalized solutions on Azure and who are familiar with the features and capabilities of batch data processing, real-time processing, and operationalization technologies, etc., can also opt for this Azure Data Engineering training course.

Relevant work experience in Data Engineering issues with Azure SQL Data Warehouse, Azure Data Lake, Azure Data Factory, and Azure Stream Analytics should be needed to sign up for this Azure Data Engineer certification training.

Azure data engineer enables companies to convert all their big data from storage systems, relational & non-relational databases into data-driven workflows. This helps them put up concrete strategies, accomplish goals, and improve the market value of the data they own! For this, they require certified professionals.

In the United States, the average salary for a newbie in this position is about US$85,000, and in India, it is around ₹700,000 (rough estimate). In addition, experienced candidates with recognized DP-203 certification can earn up to US$120,000 in the United States and up to ₹1,500,000 in India!

Today, every company is moving towards cloud computing to meet growing customer expectations and gain a competitive advantage. Microsoft Azure is growing at an unprecedented rate. Therefore, there is an urgent need for Azure certified management professionals.

Intellipaat Azure certification training (DP-203 certification) gives you hands-on experience using Azure services, storage, servers, and more. You will work on managing virtual machines, protecting and managing identities. After you get certified, you can apply for the best jobs at top salaries.

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Azure Data Factory is a cost-efficient and fully managed serverless cloud data integration tool that scales on demand. - Microsoft
There are over 1000 jobs for professionals with skill in Azure Data Factory in the US. - LinkedIn

Skills Covered

  • NoSQL
  • Azure Data Lake Storage
  • Azure Cosmos DB
  • Azure Blob Storage
  • Azure SQL
  • MySQL
  • PolyBase
  • Azure Synapse Analytics
  • Azure Batch
  • .NET API
  • Azure Databricks
  • Azure Stream Analytics
  • Azure Monitor
  • Azure SQL Database Auditing
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Fees

Self Paced Training

  • 30 Hrs e-learning videos
  • Lifetime Free Upgrade
  • 24 x 7 Lifetime Support & Access
$316

Online Classroom preferred

  • Everything in self-paced, plus
  • 30 Hrs of Instructor-led Training
  • 1:1 Doubt Resolution Sessions
  • Attend as many batches for Lifetime
  • Flexible Schedule
  • 01 Aug
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
  • 07 Aug
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
  • 14 Aug
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
$527 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise-grade Learning Management System (LMS)
  • 24x7 Support
  • Strong Reporting

Microsoft Azure Data Factory Course Content

Module 01 - Non-Relational Data Stores and Azure Data Lake Storage Preview

1.1 Document data stores
1.2 Columnar data stores
1.3 Key/value data stores
1.4 Graph data stores
1.5 Time series data stores
1.6 Object data stores
1.7 External index
1.8 Why NoSQL or Non-Relational DB?
1.9 When to Choose NoSQL or Non-Relational DB?

  • Best Uses
  • Scenarios

1.10 Azure Data Lake Storage

  • Definition
  • Azure Data Lake-Key Components
  • How it stores data?
  • Azure Data Lake Storage Gen2
  • Why Data Lake?
  • Data Lake Architecture

Module 02 - Data Lake and Azure Cosmos DB

2.1 Data Lake Key Concepts
2.2 Azure Cosmos DB
2.3 Why Azure Cosmos DB?
2.4 Azure Blob Storage
2.5 Why Azure Blob Storage?
2.6 Data Partitioning

  • Horizontal partitioning
  • Vertical partitioning
  • Functional partitioning

2.7 Why Partitioning Data?
2.8 Consistency Levels in AzureCosmos DB

  • Semantics of the five-consistency level

Hands-on:
1. Load Data fromAmazonS3 to ADLS Gen2 with Data Factory
2. Working with Azure Cosmos DB

3.1 Introduction to Relational Data Stores
3.2 Azure SQL Database

  • Deployment Models
  • Service Tiers

Hands-on:
1. Create a Single Database Using Azure Portal
2. Create a managed instance
3. Create an elastic pool

3.3 Why SQL Database Elastic Pool?

Hands-on:
1. Create a SQL virtual machine
2. Configure active geo-replication for Azure SQL Database in the Azure portal and initiate failover.

4.1 Azure SQL Security Capabilities
4.2 High-Availability and Azure SQL Database

  • Standard Availability Model
  • Premium Availability Model

4.3 Azure Database for MySQL

Hands-on:
1. Design an Azure Database for MySQL database using the Azure portal
2. Connect using MySQL Workbench

4.4 Azure Database for PostgreSQL
Hands-on:
1. Design an Azure Database for PostgreSQL – Single Server

4.5 Azure Database For MariaDB
Hands-on:
1. Create an Azure Database for MariaDB server by using the Azure portal

4.6 What is PolyBase?

  • Why PolyBase?

4.7 What is Azure Synapse Analytics (formerly SQL DW)?

  • SQL Analytics and SQL pool in Azure Synapse
  • Key component of a big data solution
  • SQL Analytics MPP architecture components

Hands-on:
1. Import Data From Blob Storage to Azure Synapse Analytics by Using PolyBase

5.1 What is Azure Batch?
5.2 Intrinsically Parallel Workloads
5.3 Tightly Coupled Workloads
5.4 Additional Batch Capabilities
5.5 Working of Azure Batch

Hands-on:
1. Run a batch job using Azure Portal
2. Parallel File Processing with Azure Bath using the .NET API
3. Render a Blender Scene using Batch Explorer
4. Parallel R Simulation with Azure Batch

6.1 Flow Process of Data Factory
6.2 Why Azure Data Factory
6.3 Integration Runtime in Azure Data Factory
6.4 Mapping Data Flows

Hands-on:
1. Transform data using Mapping data flows

7.1 What is Azure Databricks?
7.2 Azure Spark-based Analytics Platform
7.3 Apache Spark in Azure Databricks

Hands-on:
1. Run a Spark Job on Azure Databricks using the Azure portal
2. ETL Operation by using Azure Databricks
3. Stream data into Azure Databricks using Event Hubs

8.1 Working of Stream Analytics
8.2 Key capabilities and benefits
Hands-on:
1. Analyse phone call data with stream analytics and visualize results in Power BI dashboard

8.3 Stream Analytics Windowing Functions

  • Tumbling window
  • Hopping Window
  • Sliding Window
  • Session Window

9.1 What is Azure Monitor?

  • Metrics
  • Logs
  • Metrics Vs Logs

9.2 What data does Azure Monitor collect?
9.3 What can you Monitor?

  • Insights and Core Solutions

9.4 Alerts in Azure

  • Flow of Alerts
  • Key Attributes of an Alert Rule
  • What can you set alert on?
  • Manage alerts
  • Alert States
  • How to create an alert?

Hands-on:
1. Create, View, and Manage Metric alerts using Azure Monitor
2. Monitor your Azure Data Factory Pipelines proactively with Alerts

9.5 Azure Security Logging & Auditing

  • Types of Logs in Azure
  • Azure SQL Database Auditing
  • Server-level vs. Database-level Auditing Policy

Hands-on:
1. Azure SQL Database Auditing

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Microsoft Azure Data Factory Projects

Create Azure Data Factory to Find the Most Popular YouTube Channel

Fetch the list of videos from the attached dataset of YouTube channel with the highest views and likes to promote advertisements on the channel whichRead More..

Working with Azure Data Factory, Data Lake, and Azure SQL

Create an automated solution, using which a company will be able to see a live dashboard of the lead count. You will make use ofRead More..

Identify the Videos That Get Maximum Traffic in Selected YouTube Channels

In this project, you will be asked to get the real-time list of maximum traffic fetching videos from YouTube channels. Automate the transformation of theRead More..

Case Study 1 - Non-Relational Data Stores

This case study will check your knowledge of non-relational databases: categories and where to use them. You will be working closely with NoSQL or Non-RelationalRead More..

Case Study 2 - Non-Relational Data Stores

In this case study, you will copy data from Azure Blob Storage to Azure Data Lake Storage Gen2. You will also be asked to createRead More..

Case Study 3 - Relational Data Stores

This case study includes relational databases, deployment models in Azure SQL, creation of an elastic pool, Azure SQL Security Capabilities, importing data from Blob StorageRead More..

Case Study 4 - Azure Batch and Azure Data Factory

This case study will help you understand the working of Azure Batch, the flow process of Data Factory, types of Integration Runtime in Azure DataRead More..

Case Study 5 - Azure Data Bricks and Azure Stream Analytics

To conduct this case study, you will be working on ETL Operation by using Azure Databricks, and Stream Analytics Windowing Functions. This case study willRead More..

Case Study 6 - Monitoring & Security

This case study will give you an opportunity to create, view, and manage Metric alerts using Azure Monitor. You will be using Azure SQL DatabaseRead More..

Azure Data Engineer Certification

This course is designed to clear the following certifications:

Exam: DP-203

You will also receive the course completion certificate by Microsoft for Performing Big Data Engineering on Microsoft Cloud Services.

The entire course is in line with the above curriculums and helps you get the best jobs in the top MNCs. As part of this training, you will be working on real-time projects and assignments that have immense implications in the real-world industry scenarios, thus helping you fast-track your career effortlessly. At the end of this training program, there will be a quiz that perfectly reflects the type of questions asked in the certification exam and helps you score better.

Intellipaat Course Completion Certificate will be awarded upon the completion of the project work (after the expert review) and upon scoring of at least 60% marks in the quiz. Intellipaat certification is well recognized in top 80+ MNCs like Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, etc.

Microsoft Azure Data Factory Review

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John Chioles

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Ritesh

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Dileep & Ajay

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Sagar

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Ashok

Abhigyan Srivastava

Member Of Technical Staff at VMWARE

I am really impressed by their training program. Projects and real world examples are great. Totally worth for money and time.

Lubin Jayalakshmi

Systems Engineer at L & T Infotech

Amazing course with excellent trainers. The online classes were scheduled as per the given plan and the instructors made the classes entertaining and interactive. Further, the topics were explained clearly and the assignments, hands-on and quizzes were extremely helpful for self validation.

Dinesh Kumar

Online learning so convenient, I learnt via my phone or computer, I download course content, attended classes on weekends. The customer service that I have received was good, course advisors and support helped me in every stage. I would highly recommend for every IT professional.

Cesar Federico Tan

Data Analyst at AFL

I am really satisfied with the courses that are available with Intellipaat. I have enrolled in more than 10 courses and completed about 6 of them. You get options to take self-paced or live-classes. Live classes are one of the best, in my opinion. The instructors are very knowledgeable and will guide you through the lessons to make sure you learn. They will even extendRead More..

Azure Data Engineer Certification Course FAQs

Why should I take Azure DP-203 training from Intellipaat?

Intellipaat is offering the Azure administration certification training that is in line with clearing the Microsoft Azure DP 203 certification exam. This training will equip you with all the skills needed to perform Big Data Engineering on Microsoft Cloud Services. This certification training will help you take on bigger responsibilities in the Azure administration domain, and get awarded with the DP-203 certificate.

If you are looking for some free resources on DP-203 then read our blogs on Interview Questions, Tutorial and everything to know about Azure.

At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.

Intellipaat is offering the 24/7 query resolution, and you can raise a ticket with the dedicated support team at anytime. You can avail of the email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our trainers.

You would be glad to know that you can contact Intellipaat support even after the completion of the training. We also do not put a limit on the number of tickets you can raise for query resolution and doubt clearance.

Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.

You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.

Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.

You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.

Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.

Apparently, no. Our job assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.

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