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Azure Data Engineer Certification (DP-203) Course

Azure Data Engineer Certification (DP-203) Course

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DP 203: Data Engineering on Microsoft Azure course video preview

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Edureka's Azure Data Engineer Certification course has been curated by top industry experts to help you prepare for the official Microsoft Azure Data Engineering Exam: DP-203.This comprehensive course equips you with mastery over crucial concepts such as creating and implementing data storage solutions, developing data processing pipelines, and implementing data security measures, among others. Elevate your skills through completing industry-relevant use cases, engaging in hands-on practical assignments, tackling scenario-based exam questions, participating in simulation exams, and undertaking capstone projects specific to the industry. Enroll now to let our course be the catalyst for your professional success!

Live Online Classes starting on 4th May 2024

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Why enroll for DP 203: Data Engineering on Microsoft Azure?

Microsoft has been recognized as a leader in the Gartner Magic Quadrant for Data Analytics and Business Intelligence Platforms for 12 consecutive years

According to Data Bridge Research, the market for big data and data engineering services is predicted to increase at a CAGR of 24.13% from 2022 to 2029

According to glassdoor.com, the average annual salary for an Azure Data Engineer in India is INR 7.5 Lakhs and in the United States it is $102,719

Azure Data Engineer Training Benefits

The world of data has evolved, and the advent of cloud technologies is providing new opportunities for businesses to explore. Azure data engineering is one of the most in-demand and rapidly expanding technologies in the marketplace right now. According to Microsoft, 95% of Fortune 500 firms use Azure cloud services, leading to an increasing demand for Microsoft-certified experts who can leverage Azure and manage massive volumes of data. The best way to secure a good job with a handsome salary in this domain is to obtain an Azure Data Engineer Certification.

Annual Salary

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Why DP 203: Data Engineering on Microsoft Azure from edureka

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 Recognised Certification

Edureka Training Certificate
Graded Performance Certificate
Certificate of Completion

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About your DP 203: Data Engineering on Microsoft Azure

Azure Data Engineering Skills

Design data storage solutions
Analyze data using SQL and Spark
Design and implement data security
Monitor data storage and data processing
Optimize data storage and data processing
Create and manage data pipelines

Tools Covered

Azure Data Engineering Certification Course Curriculum

Curriculum Designed by Experts

DOWNLOAD CURRICULUM

Introduction to Microsoft Azure and its Services

7 Topics

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

Introduction To Azure Data Engineering

14 Topics

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

Storing Data in Azure

13 Topics

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

Azure Data Factory - I

15 Topics

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

Azure Data Factory - II

22 Topics

Topics:

Explain Data Factory transformation methods
Describe Data Factory transformation types
Debug mapping data flow
Describe slowly changing dimensions
Choose between slowly changing dimension types
Understand data factory control flow
Work with data factory pipelines
Debug data factory pipelines
Add parameters to data factory components
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

Azure Synapse Analytics - I

10 Topics

Topics:

What is Azure Synapse Analytics
How Azure Synapse Analytics works
When to use Azure Synapse Analytics
Create Azure Synapse Analytics workspace
Describe Azure Synapse Analytics SQL
Explain Apache Spark in Azure Synapse Analytics
Orchestrate data integration with Azure Synapse pipelines
Visualize your analytics with Power BI
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

Azure Synapse Analytics - II

6 Topics

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

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:

Designing the new data flow or dataset
Working with various types of hubs

Data Warehouses using Azure Synapse Analytics - I

7 Topics

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

Data Warehouses using Azure Synapse Analytics - II

8 Topics

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

Optimizing Data Queries in Azure

14 Topics

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

Managing Workloads in Azure Synapse Analytics

12 Topics

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
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

Deep Dive into Azure Databricks

19 Topics

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

Capstone Project

3 Topics

Topics:

In this project, you will design a secure, analytical, data ingestion, scalable, build and deploy data pipeline solution which you have learned as a part of this certification course
Documentation and presentation: Develop detailed documentation outlining the design and implementation of the Azure data solution, and effectively present the solution and its outcomes to business
Design and implement an Azure Data Solution

Integrating Azure Data Solutions with Other Services (Self-paced)

4 Topics

Topics:

Integrating Azure Data Solutions with Azure Synapse Analytics
Integrating Azure Data Solutions with Power BI
Integrating Azure Data Solutions with Azure Logic Apps
Best Practices for Integrating Azure Data Solutions with Other Services

Hands-on:

Working with the Azure Data Solutions with Azure Synapse Analytics
Build and deploy Azure Data Solutions with Power BI

Skills You will Learn:

Using Azure Data Solutions with Power BI
Designing the Azure Data Solutions
Best practices for integrating Azure Data Solutions

Security and Compliance (Self-paced)

4 Topics

Topics:

Overview of Azure Security Features
Implementing Security for Azure Data Storage Solutions
Implementing Security for Azure Data Processing Solutions
Best Practices for Securing Data Solutions in Azure

Hands-on:

To demonstrate the practical implementation of security and compliance measures in Azure data engineering to safeguard the organization's data
To demonstrate the practical implementation of compliance measures in Azure data engineering to ensure adherence to regulatory requirements

Skills You will Learn:

Securing the Azure Data Storage Solutions
Implementing Security for Data Processing Solutions

Monitoring and Optimizing Data Solutions (Self-paced)

4 Topics

Topics:

Monitoring and Alerting Strategies for Azure Data Solutions
Optimizing Data Processing Solutions for Performance and Cost
Using Azure Monitor to Monitor Data Solutions
Best Practices for Monitoring and Optimizing Azure Data Solutions

Hands-on:

To demonstrate the practical implementation of monitoring measures in Azure data engineering solutions to ensure efficient system operation
Implementation of optimization measures in Azure data engineering solutions to ensure better system performance, reduce costs, and increase productivity

Skills You will Learn:

Enhancing Data for Performance and Cost
Setting up the Azure Monitor

Industrial Case Studies (Self-paced)

3 Topics

Topics:

Case Studies on Implementing Azure Data Solutions
Emerging Trends and Technologies in Azure Data Engineering
Best Practices for Keeping Up with Industry Trends in Azure Data Engineering

Use Cases:

Case Studies on Mitsubishi Heavy Industries (MHI) Group
Case Studies on Bayer AG
Case Studies on fischer
Case Studies on New York City Department of Education
Case Studies on Amadeus

Scenario Based Exam Dumps

1 Topics

Topics:

Scenario Based Dumps Set -1,2,3,4,5,6,7

DP-203 Certification: Practice Exam

2 Topics

Topics:

Practise Exam Set 1,2,3
3 practise exams with a minimum passing score of 700 will allow you to gauge your level of preparation

Azure Data Engineering Interview Preparation

1 Topics

Topics:

Interview preparation material to assist you in getting ready for the upcoming interviews

Reference Material

2 Topics

Topics:

Whitepapers
Reference Documents

Bonus Content

2 Topics

Additional Resources (Part 1)
Additional Resources (Part 2)

Free Career Counselling

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Azure Data Engineer Certification Course Details

About DP 203 Certification Course

Edureka's Microsoft Data Engineering Certification Course is the optimal choice for learners aiming to design, implement, monitor, and optimize high-performing and reliable data pipelines and data stores on the Microsoft Azure platform. With experienced instructors, real-world case studies, and flexible learning options, this course provides learners with practical skills and knowledge for identifying and troubleshooting operational and data quality issues. The key features of this course include:

Comprehensive coverage of key topics such as- Azure Cosmo DB, Azure Synapse, Azure Databricks, Azure Stream Analytics, Azure HDInsight, and Azure Data Factory.
Assignments and quizzes in each module
Practice projects to hone your skills
7+ exam dumps containing 100 scenario based exam questions each to help you prepare for the certification exam
3 simulation exams to let you assess your preparation
Certification guide for DP:203
Interview preparation material to help you prepare for the interviews
Bonus and additional content for further knowledge enhancement
3 capstone projects to bolster your resume

Hurry up and join our Microsoft Azure Data Engineer Certification Course today to propel your career to greater heights.

What are the prerequisites for this Azure Data Engineering Course?

You don’t need to possess any predefined skills or expertise to enroll in this course. However, any prior knowledge of Linux, Python, SQL, and Scala would be beneficial.

Why should you become a Azure Certified Data Engineer?

Learning a DP-203 Certification Course can provide several benefits, such as:

Career Growth: With the increasing demand for data engineering skills, certified Azure Data Engineers are highly sought after by top companies worldwide. This opens up a plethora of career opportunities for professionals in this field.
Future Demand: The demand for skilled data engineers is projected to increase in the future, with the adoption of cloud computing, big data analytics, and machine learning. This makes it an ideal time to gain certification in Azure Data Engineering.
Skills: The certification provides a comprehensive understanding of Azure data services, data modeling, ingestion, transformation, processing, analysis, visualization, monitoring, and optimization. This enables professionals to develop and deploy high-performing and reliable data pipelines and data stores.
Salary Growth: Certified Azure Data Engineers can expect to receive higher salaries compared to non-certified professionals. The certification is an excellent way to demonstrate expertise and experience in this field, which can lead to higher paying job opportunities.
Hands-on Experience: The certification course provides hands-on experience with real-world case studies and industry projects, enabling learners to apply their skills in a practical setting.
Industry Project Exposure: Learners gain exposure to industry best practices and the latest tools and technologies used in data engineering. This enhances their knowledge and skills, making them more competitive in the job market.

What are the objectives of our Azure Data Engineer Certification Course?

Our Azure Data Engineer Certification Course is designed as per industry standards and helps learners in designing, implementing, and maintaining secure and compliant data processing pipelines using Azure data services and frameworks. The Azure Data Engineer Exam evaluates candidate’s' proficiency in integrating, transforming, and consolidating data from various sources.

What are the skills required for an Azure Data Engineer?

As a Certified Azure Data Engineer, several skills are essential for success. Here are some of the most important skills you will need:

Data modelling and database design
SQL and other query languages
Data integration and ETL Tools
Data analysis and visualization
Cloud Platform Skills
Programming languages such as Python and Java.
Data Pipeline Development

Who should go for this Azure Data Engineering Training?

Anyone with a zeal to learn and who wants to become a Data Engineer or Data Architect can join this training.

What are the system requirements for this Azure Data Engineer Certification Training?

You need a basic configuration with a minimum of 4GB RAM and i3 processor, with a good internet connection.

How will I execute practicals in this Azure Data Engineer Training?

You will be using an Azure Free Tier Account to execute the practicals. The detailed, step-by-step installation guides are available on the LMS. Edureka's 24*7 technical support team is always available to promptly assist you with your queries.

Is Data Engineering a good career option?

Data Engineering is a great career option. With the rise of Big Data, businesses are looking for ways to collect, store, and analyze vast amounts of data. Data engineering is a rapidly growing field with excellent job prospects and high earning potential. According to the Bureau of Labor Statistics (BLS), employment of computer and information technology occupations, which includes data engineers, is projected to grow 11% from 2019 to 2029, much faster than the average for all occupations.

How can beginners learn Azure Data Engineering?

Beginners can become familiar with Azure data engineering services easily as it is a user-friendly cloud-based platform. Learning its capabilities and functionality requires appropriate direction and a well-structured training path. Beginners interested in a career in data engineering using Azure can sign up for our online training and earn certificates to demonstrate their expertise in this domain.

Azure Data Engineer Projects

Data-Driven Decision-Making to Optimize Online Retail Customer Experience and Increase Sales

The retail company recognizes the importance of online sales and the customer experience in today's digital age. To stay competitive, they understand that they need to use data-d....

View Project Details

Enhancing Data Processing and Analysis Capabilities for Advertising Analytics Company

An advertisement analytics company is looking to improve their data processing and analysis capabilities. They receive large amounts of data on a daily basis from various sour....

View Project Details

Developing a Real-Time Predictive Maintenance Solution for Industrial Equipment Using Machine Learning

An AI analytics company is developing a predictive maintenance solution for industrial equipment, using machine learning to predict equipment failures and schedule maintenance....

View Project Details

Azure Data Engineering Certification - DP 203 EXAM

An Azure Data Engineer is a professional who helps stakeholders understand data through exploration and maintains secure and compliant data processing pipelines using different tools and techniques.

DP 203 Certification certifies an individual's expertise in designing and implementing big data analytics solutions using Azure Data Services.. The DP-203 certification validates a candidate's skills and knowledge in designing and implementing data solutions using Azure Data Services.

Professionals who are Data Engineers, Database Administrators, and Developers working with Microsoft Azure services should take the Microsoft DP-203 exam to demonstrate their knowledge and skills in designing and implementing data solutions using Azure Data Services.

The DP-203 Exam is a certification offered by Microsoft that measures a candidate's proficiency in various areas of data engineering on Azure. This includes designing and implementing Azure data storage solutions, data integration and transformation solutions, data processing solutions, as well as data security and compliance solutions.

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

The Duration of DP-203 Exam is 120 mins (2 hours).

The passing score for the Azure DP-203 certification exam is 700 out of 1000, determined by the knowledge and skills needed to demonstrate competence and the difficulty of the questions.

The DP 203 Certification Exam is available in the following languages: English, Chinese (Simplified), Japanese, Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), Italian, and Indonesian (Indonesia).

The important topics covered in the Microsoft Azure DP-203 Exam are as follows:

Design and implement data storage (15–20%)
Develop data processing (40–45%)
Secure, monitor, and optimize data storage and data processing (30–35%)

You can retake the exam up to 5 times within a 12-month period. If you fail all 5 attempts, you are eligible to retake it 12 months from your initial attempt.

If you are unable to pass the exam on your first attempt, you must wait 24 hours before retaking it. During this period, you can access the certification dashboard to reschedule the exam. You cannot retake an exam that you've already passed unless your certification has expired. Additionally, if applicable, you must pay to retake the exam.

If you don’t pass an exam the first time, you must wait 24 hours before retaking it. If still unsuccessful, there is a 14-day waiting period between all subsequent attempts (up to 5).

The certification has one-year validity and no prior certification is required.

For most exams, you’ll receive your results within minutes of completing the exam. Exams that include labs take about 30 minutes to score, requiring a slightly longer wait. Your score will be accessible in your Learn profile within 24 hours.

There's no cost to renew your certification; simply ensure you pass the online assessment before it expires. You can take the renewal assessment at any time during your six-month eligibility window via Microsoft Learn. Your certification will be extended by one year from the date of passing.

This Azure Data Engineer Certificate will be awarded by Microsoft to professionals who can demonstrate their expertise and knowledge by successfully passing the DP-203 exam.

To unlock Edureka’s Azure Data Engineering Training completion certificate, you must ensure the following:

Completely participate in this DP 203 Course.
Evaluation and completion of the quizzes and projects listed.

Your Name

Title

with Grade X

Sample IDNASignature

The Certificate ID can be verified at www.edureka.co/verify to check the authenticity of this certificate

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Microsoft Azure Data Engineer Training FAQs

What are the key takeaways of the Edureka Azure Data Engineer Training Online?

The key takeaway from Edureka's Microsoft Data Engineering training course is a comprehensive understanding of Azure data engineering concepts, along with the ability to design, implement, and manage data solutions on the Azure platform. This DP-203 course equips you with valuable skills and certifications for your career growth.

What is Edureka's refund policy regarding the course if I am not satisfied with the course content?

Typically, Edureka allows learners to request a refund within a specified period if they are not satisfied with the course content. Your satisfaction with the course is our priority.

How long is Edureka’s Azure Data Engineering Associate course?

The duration of the Azure Data Engineering Associate course may vary based on the specific training program and schedule you choose during the signup process. You can opt for weekend classes, typically spanning 6.5 weeks. Alternatively, you have the option to choose weekday classes from Monday to Friday, with a usual duration of 18 to 20 days.

What financial options are available for learners interested in the Azure Data Engineering course?

Edureka offers various financial options for learners, including installment payment plans, no-cost EMI options, or discounts on course fees. These flexible financial options make it convenient for learners to invest in their Azure data engineering training.

Is there any discount available for learners interested in the DP 203 Course?

Discounts and promotional offers are available for learners interested in the Azure Data Engineering (DP-203) course. You can visit our pricing section to avail current promotional offers or reach out to our 24x7 customer service at +91-8147402266. Edureka frequently provides opportunities for cost savings to benefit learners.

What are the criteria for admission to be a candidate for this Azure Data Engineer course?

There is no requirement for eligibility to enroll in our Azure Data Engineering course. Anyone interested in learning about the art of Azure data engineering can join our training course program and begin their journey. But, having a basic understanding of data structures and algorithms, SQL, Programming knowledge of Python and Java, Cloud platforms, distributed systems, and Data pipelines are helpful.

What skills will I gain from the Azure DP 203 course?

By completing the Azure DP-203 training course, you will gain skills in areas such as data engineering, Azure Data Lake Storage, Azure Databricks, data integration, data transformation, and more. This training equips you with the necessary skills to excel in Azure data engineering roles.

What career options can I look forward to with my Azure Data Engineering skills?

You could be qualified for jobs such as Azure data engineer, data warehouse manager, database administrator, business intelligence analyst, and even data architect.Start by registering for the Azure Data Engineering certification course.

How will this Azure Data Engineer Course help me find a better job and boost my career?

Completing the Microsoft Data Engineering Course can significantly enhance your career prospects. You'll gain in-demand skills and certifications that are highly valuable in the data engineering job market. With this training, you'll be well-prepared to pursue roles related to data engineering on the Azure platform.

What is the minimum education requirement to become an Azure Data Engineer?

Generally, no specific college degree is required to become an Azure Data Engineer. The minimum education requirement for a common starting point is a bachelor's degree in computer science, information technology, data engineering, or a related field.

Is the Azure Data engineer Course hard to master?

The difficulty level in the Microsoft Azure Data Engineering Certification depends entirely on the individual's prior experience and commitment to learning the concepts. Our highly trained instructors explain everything in a way that is easy to comprehend. They are also aware of the students' requirements.

Which is the best language to use for Azure Data Engineering?

Azure Data Engineering supports multiple languages, such as Python, SQL, and Java. The choice of the best language may depend on the specific requirements of your project, but these languages are widely popular for ETL processes, data analytics, and machine learning tasks in Azure.

Is it possible for a fresh graduate to find job opportunities after completing the Azure Data Engineering course?

Completing an Azure Data Engineering course can definitely increase your chances of finding job opportunities as a fresh graduate.

How long will it take to become an Azure Data Engineer?

Attending the Azure Data Engineer Course Online, which may last anywhere from three to twelve months, can help you become a Professional Azure Data Engineer. The course curriculum, on the other hand, varies based on the degree or certification desired. 3-month courses can provide important Azure Data Engineer experience and internship possibilities, leading to entry-level positions at top businesses.

Why should I take Microsoft Azure Data Engineer Associate Certification Course?

There are several reasons why taking the Microsoft Azure Data Engineer Certification Course can be beneficial for your career:

High demand for skilled Azure data engineers
Industry-recognized certification
Comprehensive coverage of Azure data services
Career advancement opportunities
Personal and professional growth

What is the average salary of Azure Data Engineer across the countries?

Azure Data engineers are among the most sought-after professions today and earn high salaries globally. The possession of certification will increase their earnings potential.

Mentioned below are the average annual salaries of Azure Data Engineers in popular countries, as per Glassdoor, payscale data:

India - INR 800,000
UK - £43464
Canada - C$85,778
US - $129,716

Is Azure Certified Data Engineer worth it?

Yes, the Azure Data Engineer certification is an excellent way to demonstrate your skills in data Engineering. This Certification will increase the number of job opportunities, boost employees' pay, and increase career prospects over the long term. :

Azure certificate expands job opportunities.
Azure data engineer certification makes you more competitive.
Azure Data Engineer Course provides better salaries.
Azure certification helps you prepare to advance in your career.

How do I become an Azure data engineer?

To become an Azure data engineer, you can follow these steps:

Acquire a strong foundation in data engineering concepts
Familiarize yourself with cloud computing and Microsoft Azure
Gain hands-on experience with Azure data services
Practice and keep learning

Is Azure Data Engineering a good career?

Azure Data Engineering is an excellent career option filled with opportunities for growth and making a significant impact in the world of data.

What is the future of Azure Data Engineering?

The future of Azure Data Engineering is on demand for cloud-based data solutions and the adoption of new technologies such as AI, IoT, and blockchain.

What are the different job roles available after the Azure Data Engineer Training Certification Azure Data Engineering Training Certification?

Our Azure Data Engineering Training certification course is designed to develop skills and evaluate candidates' knowledge. Following the completion of this certification, you will have access to a wide range of job possibilities. Some of the most important employment roles include Azure Data Engineer, Azure Architect, Azure Cloud Engineer, Data Architect, Data Analyst, etc.

How can beginners learn Azure Data Engineering?

Beginners can easily acquaint themselves with Azure data engineering services, as it is a user-friendly, cloud-based platform. To understand its capabilities and functionality, proper guidance and a well-structured training path are essential. Those interested in pursuing a career in data engineering using Azure can enroll in our online training program to earn certificates, showcasing their expertise in this domain.

What is the value of Azure Data Engineering Certification?

An Azure Data Engineering Certification is a valuable investment in one's career as it validates skills in Azure Data Engineering, enhances career prospects, and opens up new job opportunities with increased earning potential. The demand is on the rise. The demand for Azure Data Engineering is on the rise, and there are many profitable employment possibilities and positions in tech organizations, making this the ideal time for candidates to enroll and earn certification. Due to the wide range of job options and prospects, learning Azure Data Engineering skills and starting to work straight away is also strongly recommended.

Do you have samples of Azure Data Engineering Interview Questions?

Please visit the page which will guide you through the Top Azure Data Engineering Interview Questions and Answers.

What are the most important skills you require to be a Professional Azure Data Engineer?

As a professional Azure Data Engineer, there are several skills that are essential for success. Here are some of the most important skills you will need:

Data modeling and database design
SQL and other query languages
Data integration and ETL
Data analysis and visualization
Azure cloud services
Programming languages such as Python and Java.

Can I download the Azure Data Engineering Certification course syllabus in PDF format?

Yes, you can download the full Azure Data Engineering Training course from the curriculum section.

What is the average Azure Data Engineer Certification Cost?

The average Azure Data Engineer Certification Cost is $165 USD. The Price is based on the country or region in which the exam is proctored.

Does azure data engineer require coding?

As an Azure Data Engineer, you should have a strong understanding of programming languages such as Python, SQL, and Scala.

Is there any discount available for learners interested in the Azure Data Engineering course?

Discounts and promotional offers are available for learners interested in the Azure Data Engineering (DP-203) course. It's advisable to check with our customer care for any ongoing promotions or discount offers. Edureka often provides opportunities for cost savings to benefit learners.

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