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Why enroll for DP 203: Data Engineering on Microsoft Azure?
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.
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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
Tools Covered
Azure Data Engineer Certification Course Curriculum
Curriculum Designed by Experts
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
![skill]( "Hands On Experience")
- 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
![skill]( "skill 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
![skill]( "Hands On Experience")
- Navigating through Azure data engineering services
![skill]( "skill 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
![skill]( "Hands On Experience")
- 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
![skill]( "skill 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
![skill]( "Hands On Experience")
- Use the data factory copy activity
- Manage the self hosted integration runtime
- Setup the Azure integration runtime
![skill]( "skill 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
![skill]( "Hands On Experience")
- 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
![skill]( "skill 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
![skill]( "Hands On Experience")
- Explore Azure Synapse Analytics
- Create pools in Azure Synapse Analytics
- Identifying Azure Synapse pipeline components
![skill]( "skill 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
![skill]( "Hands On Experience")
- 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
![skill]( "skill 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
![skill]( "Hands On Experience")
- 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
![skill]( "skill 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
![skill]( "Hands On Experience")
- Data Loading in Azure Synapse Analytics
- Data Ingestion using Copy Activity
- Implement workload management
- Understand performance issues related to tables
![skill]( "skill 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
![skill]( "Hands On Experience")
- 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
![skill]( "skill 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
![skill]( "Hands On Experience")
- Manage authorization through column and row level security
![skill]( "skill 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
![skill]( "Hands On Experience")
- 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
![skill]( "skill 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
![skill]( "Hands On Experience")
- Working with the Azure Data Solutions with Azure Synapse Analytics
- Build and deploy Azure Data Solutions with Power BI
![skill]( "skill 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
![skill]( "Hands On Experience")
- 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
![skill]( "skill 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
![skill]( "Hands On Experience")
- 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
![skill]( "skill 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
![skill]( "Hands On Experience")
- 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 Course
Edureka's Microsoft Ceriffied Azure Data Engineer Associate 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.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 for 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
What are the prerequisites for this Azure Data Engineer Associate certification course?
You donโt 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.
Is this Azure Data Engineer Associate course accredited?
Yes, Edureka is a Microsoft Partner and Microsoft accredits the course.
What are the objectives of our Azure Data Engineer Certification Course?
Our Azure Data Engineer Associate Certification 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 candidateโs' 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 take this Azure Data Engineer Associate certification course?
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.
How do I register for this online training course on Edureka?
You can enroll in this online training on our website and make an online payment using any of the following options:
- Visa Credit or Debit Card
- MasterCard
- American Express
- PayPal
What is online classroom training?
All classes are conducted via live online streaming. These are interactive sessions where you can ask questions and participate in discussions during class time.
What skills will you learn from this Azure Data Engineer Associate course?
You will learn on implementing and overseeing data engineering workloads on Microsoft Azure, leveraging key Azure services, including Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and more
Who are the trainers for this Azure Data Engineer Associate training?
All trainers are industry experts, Microsoft Certified, and have over 12 years of experience in training and working in the 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....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....
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....
DP 203 Certification Exam
It 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.
The Azure Data Engineer Associate 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.
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.
No,the course fee does not include the exam fee.
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 Certified Azure DP-203 Exam are as follows:
- Design and implement data storage (15โ20%)
- Develop data processing (40โ45%)
- Secure, monitor, and optimize data storage and data processing (30โ35%)
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 donโt 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, youโll 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 Edurekaโs Azure Data Engineer Training completion certificate, you must ensure the following:
- Completely participate in this DP 203 Course.
- Evaluation and completion of the quizzes and projects listed.
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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 Edurekaโs 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 Engineer 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 Engineer 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 - ยฃ43464
- 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?
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 DP 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 DP 203 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 Engineer 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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