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DP 203: Data Engineering on Microsoft Azure

CertHippo Azure Data Engineering Certification Training Course utilizing Azure has been curated by subject matter experts to assist you in passing the Microsoft Azure Data Engineering Exam: DP-203. Using industry-relevant use examples, this program will teach you concepts such as data storage, processing pipelines, data security, data factory, and more. This Azure Data Engineer Certification Course delivers hands-on project experience in a variety of industries. Study Azure Data Engineering Online from Industry Professionals with Over a Decade of Experience.

Why This Course

For the 12th year in a row, Microsoft has been named a leader in the Gartner Magic Quadrant for Data Analytics and Business Intelligence Platforms.

According to the Dice tech job report, data engineering is the fastest-growing job in technology, with a 50% increase in the number of vacant positions year over year.

monetization_on

According to Indeed.com, the typical annual income for a Data Engineer in India is INR 10.5 Lakhs and $114,835 in the United States.

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Instructor-led live online classes

DP 203: Data Engineering on Microsoft Azure

Instructor-led DevOps live online Training (Weekday/ Weekend)

$615  $492

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Why Enroll In Data Engineering on Microsoft Azure Course?

The data world has transformed, and the introduction of cloud technology has created new options for businesses to investigate. Azure data engineering is one of the most in-demand and fastest-growing technologies in the market today, and these Data Engineering Courses are also in high demand among IT professionals. According to Microsoft, 95% of Fortune 500 companies utilise Azure services, thus there is a growing demand for Microsoft-certified experts who can use Azure and manage enormous amounts of data. Obtaining an Azure Data Engineering Certification is the greatest approach to find a decent job with a good income in this subject.

Data Engineering on Microsoft Azure Training Features

Live Interactive Learning

  World-Class Instructors

  Expert-Led Mentoring Sessions

  Instant doubt clearing

Lifetime Access

  Course Access Never Expires

  Free Access to Future Updates

  Unlimited Access to Course Content

24x7 Support

  One-On-One Learning Assistance

  Help Desk Support

  Resolve Doubts in Real-time

Hands-On Project Based Learning

  Industry-Relevant Projects

  Course Demo Dataset & Files

  Quizzes & Assignments

Industry Recognized Certification

  CertHippo Training Certificate

  Graded Performance Certificate

  Certificate of Completion

About your AWS Course

AWS Solutions Architect Course Skills Covered

Managing Security

Designing Data Storage Solutions

Monitoring Cloud Solutions

Designing Resilient AWS Solutions

AWS Cloud Cost Optimization

Designing Identity Solutions

Data Engineering on Microsoft Azure Course Curriculum

Introduction to Microsoft Azure and its Services

Topics:

  • Azure Subscriptions

  • Azure Resources

  • Azure Free Tier Account

  • Azure Resource Manager

  • Azure Resource Manager Template

  • Azure Storage

  • Types of Azure Storage

 Hands-on:

  • Create a free tier Azure account

  • Create a web app service using Azure Portal

  • Create and Deploy ARM templates

  • Manage Azure Storage account

  • Manage Azure Cost and Billing

Skills You will Learn:

  • Creating ARM templates

  • Accessing Azure Storage Service

  • Azure Cost and Billing Services

Topics:

  • Understand the evolving world of data

  • Data abundance

  • Understanding the Data Engineering Problem

  • Understand job responsibilities

  • Understanding Data Engineering Processing - Extract Transform and Load

  • Overview of Azure Data Engineering Services

  • Understand data storage in Azure Storage

  • Understand data storage in Azure Data Lake Storage

  • Understand Azure Cosmos DB

  • Understand Azure SQL Database

  • Understand Azure Synapse Analytics

  • Understand Azure Stream Analytics

  • Understand Azure HDInsight

  • Understand other Azure data services

Hands-on:

  • Navigating through Azure data engineering services

Skills You will Learn:

  • Analyzing Data Engineering Process

  • Understanding Azure Services

Topics:

  • How to choose an Azure Storage Service in Azure

  • Create an Azure Storage Account

  • Connect an app to Azure Storage API

  • Connect to your Azure storage account

  • Explore Azure Storage security features

  • Understand storage account keys

  • Understand shared access signatures

  • Control network access to your storage account

  • Understand Advanced Threat Protection for Azure Storage

  • Explore Azure Data Lake Storage security features

  • Introduction to Blob storage

  • What are blobs?

  • Design a storage organization strategy

 Hands-on:

  • Add the storage client library to your app

  • Add Azure Storage configuration to your app

  • Connect your application to your Azure Storage account

  • Create Azure storage resources

  • Configure and initialize the client library

  • Get blob references

  • Blob uploads and downloads

 Skills You will Learn:

  • Working with Azure Storage

  • Configuring Security in Azure Storage

  • Storing blob data in Azure Storage

Topics:

  • Integrate data with Azure Data Factory or Azure Synapse Pipeline

  • Understand Azure Data Factory

  • Describe data integration patterns

  • Explain the data factory process

  • Understand Azure Data Factory components

  • Azure Data Factory security

  • Set-up Azure Data Factory

  • Create linked services

  • Create datasets

  • Create data factory activities and pipelines

  • Manage integration runtimes

  • Petabyte-scale ingestion with Azure Data Factory or Azure Synapse Pipeline

  • List the data factory ingestion methods

  • Describe data factory connectors

  • Understand data ingestion security considerations

Hands-on:

  • Use the data factory copy activity

  • Manage the self hosted integration runtime

  • Setup the Azure integration runtime

 Skills You will Learn:

  • Working with Azure Data Factory

  • Integrating Azure Data Factory

  • Azure Data Factory security

  • Implementing Data Factory connectors

Topics:

  • Explain Data Factory transformation methods

  • Describe Data Factory transformation types

  • Exercise - Author an Azure Data Factory mapping data flow

  • Debug mapping data flow

  • Exercise - Use Data Factory wrangling data

  • Exercise - Use compute transformations within Data Factory

  • Exercise - Integrate SQL Server Integration Services packages within Data Factory

  • Describe slowly changing dimensions

  • Choose between slowly changing dimension types

  • Exercise - Design and implement a Type 1 slowly changing dimension with mapping data flows

  • Understand data factory control flow

  • Work with data factory pipelines

  • Debug data factory pipelines

  • Add parameters to data factory components

  • Exercise - Integrate a Notebook within Azure Synapse Pipelines

  • Execute data factory packages

  • Describe SQL Server Integration Services

  • Understand the Azure-SIS integration runtime

  • Set-up Azure-SIS integration runtime

  • Run SSIS packages in Azure Data Factory

  • Migrate SSIS packages to Azure Data Factory

  • Configure a git repository with a development factory

  • Create and merge a feature branch

  • Deploy a release pipeline

  • Visually monitor pipeline runs

  • Integrate with Azure Monitor

  • Set up alerts

  • Rerun pipeline runs

Hands-on:

  • Author an Azure Data Factory mapping data flow

  • Use Data Factory wrangling data

  • Use compute transformations within Data Factory

  • Integrate SQL Server Integration Services packages within Data Factory

  • Design and implement a Type 1 slowly changing dimension with mapping data flows

  • Integrate a Notebook within Azure Synapse Pipelines

Skills You will Learn:

  • Implementing Data Factory transformations

  • Implementing slowly changing dimensions

  • Working with SQL server integration

  • Configuring a git repository

  • Integrating Azure monitor and set up alerts

Topics:

  • What is Azure Synapse Analytics5 min

  • How Azure Synapse Analytics works8 min

  • When to use Azure Synapse Analytics4 min

  • Exercise - Explore Azure Synapse Analytics

  • Create Azure Synapse Analytics workspace4 min

  • Exercise - Create and manage Azure Synapse Analytics workspace4 min

  • Describe Azure Synapse Analytics SQL5 min

  • Explain Apache Spark in Azure Synapse Analytics7 min

  • Exercise - Create pools in Azure Synapse Analytics9 min

  • Orchestrate data integration with Azure Synapse pipelines7 min

  • Exercise-Identifying Azure Synapse pipeline components8 min

  • Visualize your analytics with Power BI7 min

  • Understand hybrid transactional analytical processing with Azure Synapse Link

  • Use Azure Synapse Studio

 Hands-on:

  • Explore Azure Synapse Analytics

  • Create pools in Azure Synapse Analytics

  • Identifying Azure Synapse pipeline components

Skills You will Learn:

  • Working with Azure Synapse Analytics

  • Managing Azure Synapse Analytics workspace

  • Querying data and Visualizing analytics

  • Working with Azure Synapse pipeline components

Topics:

  • Understand the Azure Synapse Analytical processes

  • Explore the Data hub

  • Explore the Develop hub

  • Explore the Integrate hub

  • Explore the Monitor hub

  • Explore the Manage hub

  • Describe a Modern Data Warehouse

  • Define a Modern Data Warehouse Architecture

  • Design ingestion patterns for a Modern Data Warehouse

  • Understand data storage for a Modern Data Warehouse

  • Understand file formats and structure for a modern data warehouse

  • Prepare and transform data with Azure Synapse Analytics

  • Serve data for analysis with Azure Synapse Analytics

 Hands-on:

  • Create a new data flow or dataset, and manage the file

  • Use the Monitor hub to view pipeline and trigger runs, view the status of the various integration runtimes

Skills You will Learn:

  • Working with various types of hubs

Topics:

  • Describe a modern data warehouse

  • Define a modern data warehouse architecture

  • Exercise - Identify modern data warehouse architecture components

  • Design ingestion patterns for a modern data warehouse

  • Understand data storage for a modern data warehouse

  • Understand file formats and structure for a modern data warehouse

  • Prepare and transform data with Azure Synapse Analytics

 Hands-on:

  • Serve data for analysis with Azure Synapse Analytics

  • Design a data warehouse schema

  • Create data warehouse tables

  • Load data warehouse tables

  • Query a data warehouse

Skills You will Learn:

  • Designing a Modern Data Warehouse Architecture

  • Building a Data Warehouse

  • Working with different file formats

  • Preparing and transforming data

Topics:

  • Understand data load design goals

  • Explain load methods into Azure Synapse Analytics

  • Manage source data files

  • Manage singleton updates

  • Set-up dedicated data load accounts

  • Implement workload management

  • Simplify ingestion with the Copy Activity

  • Understand performance issues related to tables

Hands-on:

  • Data Loading in Azure Synapse Analytics

  • Data Ingestion using Copy Activity

  • Implement workload management

  • Understand performance issues related to tables

Skills You will Learn:

  • Loading data using Azure Synapse Analytics

  • Implementing workload management

Topics:

  • Understand table distribution design

  • Use indexes to improve query performance

  • Understand query plans

  • Create statistics to improve query performance

  • Improve query performance with materialized views

  • Use read committed snapshot for data consistency

  • How does statistics affect a query plan?

  • Describe the integration methods between SQL and spark pools in Azure Synapse Analytics

  • Understand the use-cases for SQL and spark pools integration

  • Exercise: Integrate SQL and spark pools in Azure Synapse Analytics

  • Externalize the use of spark pools within Azure Synapse Workspace

  • Transfer data outside the synapse workspace using the PySpark connector

  • Explore the development tools for Azure Synapse Analytics

  • Understand transact-SQL language capabilities for Azure Synapse Analytics

Hands-on:

  • Use table distribution and indexes to improve performance

  • Optimize common queries with result-set caching

  • Work with windowing functions

  • Work with approximate execution

  • Work with JSON data in SQL pools

  • Encapsulate transact-SQL logic with stored procedures

  • Authenticate in Azure Synapse Analytics

  • Transfer data between SQL and spark pool in Azure Synapse Analytics

  • Authenticate between spark and SQL pool in Azure Synapse Analytics

Skills You will Learn:

  • Optimizing data queries in Azure

  • Authenticating in Azure Synapse Analytics

  • Working with SQL and Spark pool

Topics:

  • Scale compute resources in Azure Synapse Analytics

  • Pause compute in Azure Synapse Analytics

  • Manage workloads in Azure Synapse Analytics

  • Use Azure Advisor to review recommendations

  • Use dynamic management views to identify and troubleshoot query performance

  • Understand skewed data and space usage

  • Understand network security options for Azure Synapse Analytics

  • Configure Conditional Access

  • Configure authentication

  • Manage authorization through column and row level security

  • Exercise - Manage authorization through column and row level security

  • Manage sensitive data with Dynamic Data Masking

  • Implement encryption in Azure Synapse Analytics

 Hands-on:

  • Manage authorization through column and row level security

Skills You will Learn:

  • Managing workloads in Azure Synapse Analytics

  • Authentication and authorization in Azure Synapse Analytics

  • Implementing encryption in Azure Synapse Analytics

Topics:

  • Get started with Azure Databricks

  • Identify Azure Databricks workloads

  • Understand key concepts

  • Use Apache Spark in Azure Databricks

  • Create a Spark cluster

  • Use Spark in notebooks

  • Use Spark to work with data files

  • Visualize data

  • Get Started with Delta Lake

  • Create Delta Lake tables

  • Create and query catalog tables

  • Use Delta Lake for streaming data

  • Get started with SQL Warehouses

  • Create databases and tables

  • Create queries and dashboards

  • Understand Azure Databricks notebooks and pipelines

  • Create a linked service for Azure Databricks

  • Use a Notebook activity in a pipeline

  • Use parameters in a notebook

Hands-on:

  • Explore Azure Databricks

  • Run an Azure Databricks Notebook with Azure Data Factory

  • Use a SQL Warehouse in Azure Databricks

  • Use Delta Lake in Azure Databricks

  • Use Spark in Azure Databricks

Skills You will Learn:

  • Working with Azure Databricks

  • Running interactive and scheduled data analysis workloads

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Certification

Azure data engineers use various tools and strategies to assist stakeholders comprehend the data and design and maintain safe and compliant data processing pipelines. These specialists store and generate cleaned and enriched datasets for analysis using different Azure data services and languages. They also assist guarantee that, given a certain set of business objectives and restrictions, data pipelines and data storage are high-performing, efficient, organized, and dependable. This professional responds quickly to unexpected difficulties and minimizes data loss. In addition, an Azure data engineer creates, deploys, monitors, and optimisms data platforms to satisfy the demands of the data pipeline. This course will prepare you to become an Azure Data Engineer.

Microsoft Azure Data Engineer Certification helps users comprehend data by doing exploratory research. They use numerous tools and approaches to build and manage secure and legally acceptable data operations. They use a number of Azure language and data service choices to produce and store data that has been cleansed and enhanced in preparation for analysis. Azure Data Engineers assist in ensuring that data pipelines and data storage operate at a high level and are efficient, structured, dependable, and dependable for business objectives and constraints.They respond quickly to unanticipated difficulties and reduce data loss. They also design, build, configure, monitor, analyse, and optimise data platforms to satisfy the needs of the data pipeline. CertHippo's Azure Data Engineering Online Course assists in learning the critical topics required to pass DP-203 on the first try.

Microsoft Azure Data Engineer Certification helps users comprehend data by doing exploratory research. They use numerous tools and approaches to build and manage secure and legally acceptable data operations. They use a number of Azure language and data service choices to produce and store data that has been cleansed and enhanced in preparation for analysis. Azure Data Engineers assist in ensuring that data pipelines and data storage operate at a high level and are efficient, structured, dependable, and dependable for business objectives and constraints. They respond quickly to unanticipated difficulties and reduce data loss. They also design, build, configure, monitor, analyse, and optimise data platforms to satisfy the needs of the data pipeline. CertHippo Azure Data Engineering Online Course assists in learning the critical topics required to pass DP-203 on the first try.

Microsoft Azure Data Engineer Certification helps users comprehend data by doing exploratory research. They use numerous tools and approaches to build and manage secure and legally acceptable data operations. They use a number of Azure language and data service choices to produce and store data that has been cleansed and enhanced in preparation for analysis. Azure Data Engineers assist in ensuring that data pipelines and data storage operate at a high level and are efficient, structured, dependable, and dependable for business objectives and constraints. They respond quickly to unanticipated difficulties and reduce data loss. They also design, build, configure, monitor, analyze, and optimize data platforms to satisfy the needs of the data pipeline. CertHippo Azure Data Engineering Online Course assists in learning the critical topics required to pass DP-203 on the first try.


Applicants for this test should have knowledge of integrating, converting, and consolidating data from multiple structured and unstructured data systems into a framework suited for constructing analytics solutions. Our Course Curriculum is totally prepared by Specialists, allowing you to work on real-world projects.

This is an online exam, and the fee is $165. ( Price based on the country or region in which the exam is proctored).

Applicants have two hours to finish the DP-203 Test.

All technical exam results are given on a scale of 1 to 1,000. A passing grade is 700 or above. Because this is a scaled score, it may not equal 70%. The knowledge and abilities required to demonstrate competency, as well as the difficulty of the questions, are used to determine a passing score. The Azure Data Engineering Course will offer you more confidence and in-depth subject understanding to pass the DP 203 Exam on the first try.

English, Chinese (Simplified), Japanese, Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), Italian, and Indonesian are the languages available for the test (Indonesia).

The Certification focuses on the abilities needed to be a successful Azure Data Engineer in today's market. This contains the following broad domains and their exam weights:

  • Design and implement data storage (40—45%)

  • Design and develop data processing (25—30%)

  • Design and implement data security (10—15%)

  • Monitor and optimize data storage and data processing (10—15%)

  • If you fail a test the first time, you must wait 24 hours before taking it again.

  • Any future efforts are subject to a 14-day wait period (up to 5).

  • You may not retake a test more than five (5) times in a 12-month period following your initial attempt. If you fail the test five times, you will be able to repeat it 12 months after your first try.

  • Unless your certification has expired, you cannot repeat an exam that you have already passed.

  • To retake the exam, you must pay (if applicable.)

  • The Azure Data Engineering Course provides comprehensive information on all certification tests and their relevant curricula.

Most examinations will provide results within minutes after completion. You'll also receive a report with your exam score and performance remarks. Examinations with labs are scored in roughly 30 minutes, so you'll have to wait a little longer. Within 24 hours, your score will be visible on your Learn profile. Data Engineering Course offers you with all of the necessary facts regarding the score percentage as well as the time length.

Don't let your certification expire after you've earned it. If you have an active certification that is about to expire in the next six months, you should renew it for free by completing a renewal assessment on Microsoft Learn. If you wish to keep your certification, remember to renew it every year.

This certificate will be provided by Microsoft to professionals who are able to prove their expertise and knowledge through successfully passing DP-203 exam.

To unlock the CertHippo Azure Data Engineering certificate, make sure the following conditions are met:

  • Completely participate in this Azure Data Engineering Training Course.

  • Evaluation and completion of the quizzes and projects listed.

Data engineering has emerged as one of the most rewarding job paths, with several prospects. As a result, the demand for data engineers is increasing. According to AIM Research, the data engineering industry will increase at a 36.7% CAGR over the following five years, from USD 18.2 billion in 2022 to USD 86.9 billion in 2027.

Because Azure is a user-friendly cloud-based platform, beginners may quickly become acquainted with its data engineering offerings. Understanding its capabilities and usefulness need proper guidance and a well-structured training plan. Those interested in a career in data engineering with Azure can enroll in our Data Engineering Course on Azure and obtain credentials to demonstrate their competence.

It is a globally recognized certification that validates your ability to develop effective data pipelines and analytics solutions. The demand for Azure Data Engineering is increasing, and there are many lucrative work opportunities and positions available in IT firms, making now an excellent moment for people to enroll and obtain certification. Because of the numerous career opportunities and possibilities, mastering Azure Data Engineering skills and getting started right immediately is also strongly advised. This course will provide you with in-depth Data Analyst skills as well as real-world project experience.

Our Azure Data Engineering Training certification course is designed to help applicants build skills and assess their knowledge. After completing this certification, you will have access to a wide range of work opportunities. Azure Data Engineer, Data Engineering Manager, Data Engineer, Azure Architect, and others are some of the most essential job titles.

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Data Engineering on Microsoft Azure Online Training FAQs

A data engineer's talents are in high demand right now. You could be qualified for professions like data engineer or data warehouse manager, database administrator and business intelligence analyst, or even data architect. Begin the registration process for the Azure Data Engineer Online course.

A specific college degree is not necessary to become a Data Engineer. Individuals in this industry usually have a bachelor's or master's degree in physics, computer science, applied math, statistics, or a related discipline. Even if you lack the necessary school credentials, this course will assist you in launching your career.

Data engineers in India earn more than $830k a year, while those in the United States earn $116K. There's no reason to suppose you won't make greater money with relevant experience and an industry-recognized certification.

The amount of difficulty of the Microsoft Azure Data Engineer Certification is totally dependent on the individual's past experience and dedication to studying the subjects. Everything is explained in an easy-to-understand manner by our highly experienced educators. They are also mindful of the needs of the pupils.

The Microsoft Azure Data Engineer Certification's difficulty level is largely dependent on the individual's past experience and dedication to studying the subject. Our highly qualified educators explain everything in layman's terms. They are also aware of the requirements of the kids.

The most extensively used data engineering languages are Java, Python, R, SQL, and Scala.

There are no prerequisites for enrolling in our Data Engineering course. Anybody interested in learning about the art of Azure data engineering may start their adventure by enrolling in our training Course programmer. Nevertheless, having a fundamental grasp of data structures and algorithms, SQL, Python and Java programming expertise, cloud platforms, distributed systems, and data pipelines are advantageous.

One must be knowledgeable in programming languages such as Java, Python, or C++ to become a Professional data engineer. They must be familiar with relational databases such as MySQL and Oracle Database, as well as creating SQL queries. Other important skills for a data engineer include creating a data warehouse operating system, operating systems Apache Spark, data mining, and data modeling, and this course will help you build these talents.

Anybody interested in a career in data engineering can participate in our Azure Data Engineer Certification Program. Assume you are familiar with algorithms and data structures, SQL, Python and Java programming, cloud platforms and distributed systems, and data pipelines. In such a scenario, taking our course will be a lot easier for you.

You may become a Professional Data Engineer by taking the Azure Data Engineer Course Online, which can span anywhere from three to twelve months. The course curriculum, on the other hand, differs depending on the desired degree or certification. Three-month courses may give valuable Data Engineer experience and internship opportunities, leading to entry-level careers at top companies.

If you want to work with businesses, the Data Engineering Course is the one to pursue because it qualifies you as an expert in data science. You'll have the abilities you need to thrive as a data engineer after completing our thorough curriculum, as well as a job-ready portfolio to show off throughout the interview process.

This test assesses your ability to perform technical duties. Create and implement data storage; create and implement data processing; develop and implement data security and monitoring; and optimism data storage and processing storage. CertHippo Azure Data Engineering Training is the first step towards becoming an Azure Data Professional Engineer.

Indeed, the Azure Data Engineer certification is a great method to show off your data engineering expertise. This Certification will enhance the amount of work opportunities, raise employee salary, and improve long-term career prospects.

  • The Azure certification broadens career prospects.

  • Certification as an Azure data engineer makes you more competitive.

  • Better pay is provided via the Azure Data Engineer Course.

  • Azure certification prepares you to grow in your profession.

The Azure DP 203 certification exam is designed for individuals who work as Professional Data Engineers on Microsoft Azure. To become a Microsoft Certified Azure Data Engineer, you must be familiar with data computation languages like SQL, Python, or Scala, as well as parallel processing and data architecture ideas. This course discusses all of these concepts through real-world project examples.

Data Engineers should pursue the following certifications:

  • Google Professional Data Engineer

  • Cloudera Certified Professional (CCP) Data Engineer

  • Microsoft Certified: Azure Data Engineering Course

  • Arcitura Certified Big Data Architect

  • Amazon Web Services (AWS) Certified Data Analytics – Specialty

  • Cloudera Data Platform Generalist Certification

  • Data Science Council of America (DASCA) Associate Big Data Engineer

  • Data Science Council of America (DASCA) Senior Big Data Engineer

  • IBM Certified Solution Architect – Cloud Pak for Data v4.x

  • IBM Certified Solution Architect – Data Warehouse V1

  • SAS Certified Big Data Professional

This Online Azure Data Engineer Course is specifically designed to provide you with the information you need to pass all of those exams.

Data Engineers will always be in demand as long as there is data to handle. According to Dice Insights, data engineering was the most sought-after career in the tech sector in 2019, surpassing computer scientists, web developers, and database designers. Data engineering may be both gratifying and challenging. You will contribute to the success of a business by simplifying access to information that analysts, data scientists, and decision-makers need to do their responsibilities. You'll need to use your programming and problem-solving skills to come up with effective solutions.

Because of the computational power of BigQuery, Snowflake, Firebolt, Databricks, and other cloud warehousing systems, data engineers can perform massive projects rapidly. This trend away from open-source and on-premises solutions and towards cloud and managed SaaS allows developers to focus on responsibilities other than database management. Because data engineers are not in charge of managing storage and computing, their role in infrastructure development has shifted to more performance-focused parts in the information stack or even more specialized roles.

Simply put, a data scientist can only understand data when it has been received in the proper format. The Data Engineer's duty is to get the data into the hands of a data science specialist. A Data Engineer is now more popular than a Data Scientist since tools cannot accomplish the functions of a Data Engineer. A Data Engineer, on the other hand, may make up to $90,8390 per year, whilst a data scientist can earn up to $91,470 per year. When comparing the figures of the Data Engineer with the Data Scientist, you may not detect a major difference at first. When it comes to figures, the data scientist might make 20 to 30% more than the ordinary Data Engineer.

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Data Engineering on Microsoft Azure Course Description

What are the prerequisites for this Azure Data Engineering Course on Az?

You must understand the foundations of Azure. You will receive free Azure Fundamentals self-paced videos as part of this Online Azure Data Engineering Training Course.

What are the Azure Data Engineer Skills?

The Azure Data Engineer DP-203 certification exam will assess the following abilities:

  • Azure Databricks

  • Azure Data Factory

  • Azure Synapse

  • Creating ETL Pipelines

  • Data Warehousing using Azure SQL

  • Azure Storage

  • Integration with PySpark, PowerBI and Delta Lakes

Who should go for this Azure Data Engineering Training Course?

This class is open to anybody who is eager to learn and wants to become a Data Engineer or Data Architect. Azure Data Engineer Online Certification is in high demand across a wide range of business industries.

What are the system requirements for this Azure Data Engineer Online Course ?

A basic setup with at least 4GB RAM and an i3 CPU is required, as well as a functioning internet connection.

How will I execute practical's in this Azure Data Engineer Certification Training ?

The practical's will be completed utilizing an Azure Free Tier Account.

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Selenium Certification

Azure data engineers use various tools and strategies to assist stakeholders comprehend the data and design and maintain safe and compliant data processing pipelines. These specialists store and generate cleaned and enriched datasets for analysis using different Azure data services and languages. They also assist guarantee that, given a certain set of business objectives and restrictions, data pipelines and data storage are high-performing, efficient, organized, and dependable. This professional responds quickly to unexpected difficulties and minimizes data loss. In addition, an Azure data engineer creates, deploys, monitors, and optimisms data platforms to satisfy the demands of the data pipeline. This course will prepare you to become an Azure Data Engineer.

Microsoft Azure Data Engineer Certification helps users comprehend data by doing exploratory research. They use numerous tools and approaches to build and manage secure and legally acceptable data operations. They use a number of Azure language and data service choices to produce and store data that has been cleansed and enhanced in preparation for analysis. Azure Data Engineers assist in ensuring that data pipelines and data storage operate at a high level and are efficient, structured, dependable, and dependable for business objectives and constraints.They respond quickly to unanticipated difficulties and reduce data loss. They also design, build, configure, monitor, analyse, and optimise data platforms to satisfy the needs of the data pipeline. CertHippo's Azure Data Engineering Online Course assists in learning the critical topics required to pass DP-203 on the first try.

Microsoft Azure Data Engineer Certification helps users comprehend data by doing exploratory research. They use numerous tools and approaches to build and manage secure and legally acceptable data operations. They use a number of Azure language and data service choices to produce and store data that has been cleansed and enhanced in preparation for analysis. Azure Data Engineers assist in ensuring that data pipelines and data storage operate at a high level and are efficient, structured, dependable, and dependable for business objectives and constraints. They respond quickly to unanticipated difficulties and reduce data loss. They also design, build, configure, monitor, analyse, and optimise data platforms to satisfy the needs of the data pipeline. CertHippo Azure Data Engineering Online Course assists in learning the critical topics required to pass DP-203 on the first try.

Microsoft Azure Data Engineer Certification helps users comprehend data by doing exploratory research. They use numerous tools and approaches to build and manage secure and legally acceptable data operations. They use a number of Azure language and data service choices to produce and store data that has been cleansed and enhanced in preparation for analysis. Azure Data Engineers assist in ensuring that data pipelines and data storage operate at a high level and are efficient, structured, dependable, and dependable for business objectives and constraints. They respond quickly to unanticipated difficulties and reduce data loss. They also design, build, configure, monitor, analyze, and optimize data platforms to satisfy the needs of the data pipeline. CertHippo Azure Data Engineering Online Course assists in learning the critical topics required to pass DP-203 on the first try.


Applicants for this test should have knowledge of integrating, converting, and consolidating data from multiple structured and unstructured data systems into a framework suited for constructing analytics solutions. Our Course Curriculum is totally prepared by Specialists, allowing you to work on real-world projects.

This is an online exam, and the fee is $165. ( Price based on the country or region in which the exam is proctored).

Applicants have two hours to finish the DP-203 Test.

All technical exam results are given on a scale of 1 to 1,000. A passing grade is 700 or above. Because this is a scaled score, it may not equal 70%. The knowledge and abilities required to demonstrate competency, as well as the difficulty of the questions, are used to determine a passing score. The Azure Data Engineering Course will offer you more confidence and in-depth subject understanding to pass the DP 203 Exam on the first try.

English, Chinese (Simplified), Japanese, Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), Italian, and Indonesian are the languages available for the test (Indonesia).

The Certification focuses on the abilities needed to be a successful Azure Data Engineer in today's market. This contains the following broad domains and their exam weights:

  • Design and implement data storage (40—45%)

  • Design and develop data processing (25—30%)

  • Design and implement data security (10—15%)

  • Monitor and optimize data storage and data processing (10—15%)

  • If you fail a test the first time, you must wait 24 hours before taking it again.

  • Any future efforts are subject to a 14-day wait period (up to 5).

  • You may not retake a test more than five (5) times in a 12-month period following your initial attempt. If you fail the test five times, you will be able to repeat it 12 months after your first try.

  • Unless your certification has expired, you cannot repeat an exam that you have already passed.

  • To retake the exam, you must pay (if applicable.)

  • The Azure Data Engineering Course provides comprehensive information on all certification tests and their relevant curricula.

Most examinations will provide results within minutes after completion. You'll also receive a report with your exam score and performance remarks. Examinations with labs are scored in roughly 30 minutes, so you'll have to wait a little longer. Within 24 hours, your score will be visible on your Learn profile. Data Engineering Course offers you with all of the necessary facts regarding the score percentage as well as the time length.

Don't let your certification expire after you've earned it. If you have an active certification that is about to expire in the next six months, you should renew it for free by completing a renewal assessment on Microsoft Learn. If you wish to keep your certification, remember to renew it every year.

This certificate will be provided by Microsoft to professionals who are able to prove their expertise and knowledge through successfully passing DP-203 exam.

To unlock the CertHippo Azure Data Engineering certificate, make sure the following conditions are met:

  • Completely participate in this Azure Data Engineering Training Course.

  • Evaluation and completion of the quizzes and projects listed.

Data engineering has emerged as one of the most rewarding job paths, with several prospects. As a result, the demand for data engineers is increasing. According to AIM Research, the data engineering industry will increase at a 36.7% CAGR over the following five years, from USD 18.2 billion in 2022 to USD 86.9 billion in 2027.

Because Azure is a user-friendly cloud-based platform, beginners may quickly become acquainted with its data engineering offerings. Understanding its capabilities and usefulness need proper guidance and a well-structured training plan. Those interested in a career in data engineering with Azure can enroll in our Data Engineering Course on Azure and obtain credentials to demonstrate their competence.

It is a globally recognized certification that validates your ability to develop effective data pipelines and analytics solutions. The demand for Azure Data Engineering is increasing, and there are many lucrative work opportunities and positions available in IT firms, making now an excellent moment for people to enroll and obtain certification. Because of the numerous career opportunities and possibilities, mastering Azure Data Engineering skills and getting started right immediately is also strongly advised. This course will provide you with in-depth Data Analyst skills as well as real-world project experience.

Our Azure Data Engineering Training certification course is designed to help applicants build skills and assess their knowledge. After completing this certification, you will have access to a wide range of work opportunities. Azure Data Engineer, Data Engineering Manager, Data Engineer, Azure Architect, and others are some of the most essential job titles.

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