DP-203: Data Engineering on Microsoft Azure Certification Training

DP-203T00: Data Engineering on Microsoft Azure Certification Training Course Overview

Today, everything depends on thorough data analysis to understand the customer pain points and also to identify new opportunities to gain market share. In such a challenging business landscape, it is critical for individuals and enterprises to know how to integrate, transform, and consolidate data across platforms. This Data Engineering on Microsoft to Azure certification (DP-203) is one such certification that helps professionals to build some of the best analytics solutions using Microsoft Azure as a platform. Check out the dates below to enrol for the DP-203 certification training course.

This course prepares you for Exam DP-203. Test your current knowledge Qubits42

DP-203: Data Engineering on Microsoft Azure Certification Training (Duration : 32 Hours) Download Course Contents

Live Virtual Classroom
Group Training 1300
08 - 11 Nov GTR 09:00 AM - 05:00 PM CST
(8 Hours/Day)
15 - 18 Nov GTR 09:00 AM - 05:00 PM CST
(8 Hours/Day)
06 - 09 Dec 09:00 AM - 05:00 PM CST
(8 Hours/Day)
1-on-1 Training (GTR) 1450
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Course Modules

Module 1: Explore compute and storage options for data engineering workloads
  • Introduction to Azure Synapse Analytics
  • Describe Azure Databricks
  • Introduction to Azure Data Lake storage
  • Describe Delta Lake architecture
  • Work with data streams by using Azure Stream Analytics
  • Explore compute and storage options for data engineering workloads
Module 2: Design and implement the serving layer
  • Design a multidimensional schema to optimize analytical workloads
  • Code-free transformation at scale with Azure Data Factory
  • Populate slowly changing dimensions in Azure Synapse Analytics pipelines
  • Designing and Implementing the Serving Layer
Module 3: Data engineering considerations for source files
  • Design a Modern Data Warehouse using Azure Synapse Analytics
  • Secure a data warehouse in Azure Synapse Analytics
Module 4: Run interactive queries using Azure Synapse Analytics serverless SQL pools
  • Explore Azure Synapse serverless SQL pools capabilities
  • Query data in the lake using Azure Synapse serverless SQL pools
  • Secure data and manage users in Azure Synapse serverless SQL pools
Module 5: Explore, transform, and load data into the Data Warehouse using Apache Spark
  • Understand big data engineering with Apache Spark in Azure Synapse Analytics
  • Ingest data with Apache Spark notebooks in Azure Synapse Analytics
  • Transform data with DataFrames in Apache Spark Pools in Azure Synapse Analytics
  • Integrate SQL and Apache Spark pools in Azure Synapse Analytics
Module 6: Data exploration and transformation in Azure Databricks
  • Describe Azure Databricks
  • Read and write data in Azure Databricks
  • Work with DataFrames in Azure Databricks
  • Work with DataFrames advanced methods in Azure Databricks
Module 7: Ingest and load data into the data warehouse
  • Use data loading best practices in Azure Synapse Analytics
  • Petabyte-scale ingestion with Azure Data Factory
Module 8: Transform data with Azure Data Factory or Azure Synapse Pipelines
  • Data integration with Azure Data Factory or Azure Synapse Pipelines
  • Code-free transformation at scale with Azure Data Factory or Azure Synapse Pipelines
Module 9: Orchestrate data movement and transformation in Azure Synapse Pipelines
  • Orchestrate data movement and transformation in Azure Data Factory
Module 10: Optimize query performance with dedicated SQL pools in Azure Synapse
  • Optimize data warehouse query performance in Azure Synapse Analytics
  • Understand data warehouse developer features of Azure Synapse Analytics
Module 11: Analyze and Optimize Data Warehouse Storage
  • Analyze and optimize data warehouse storage in Azure Synapse Analytics
Module 12: Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link
  • Design hybrid transactional and analytical processing using Azure Synapse Analytics
  • Configure Azure Synapse Link with Azure Cosmos DB
  • Query Azure Cosmos DB with Apache Spark pools
  • Query Azure Cosmos DB with serverless SQL pools
Module 13: End-to-end security with Azure Synapse Analytics
  • Secure a data warehouse in Azure Synapse Analytics
  • Configure and manage secrets in Azure Key Vault
  • Implement compliance controls for sensitive data
Module 14: Real-time Stream Processing with Stream Analytics
  • Enable reliable messaging for Big Data applications using Azure Event Hubs
  • Work with data streams by using Azure Stream Analytics
  • Ingest data streams with Azure Stream Analytics
Module 15: Create a Stream Processing Solution with Event Hubs and Azure Databricks
  • Process streaming data with Azure Databricks structured streaming
Module 16: Build reports using Power BI integration with Azure Synapase Analytics
  • Create reports with Power BI using its integration with Azure Synapse Analytics
Module 17: Perform Integrated Machine Learning Processes in Azure Synapse Analytics
  • Use the integrated machine learning process in Azure Synapse Analytics
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Course Prerequisites
Participants taking part in Data Engineering on Microsoft Azure DP-203 training should have knowledge of cloud computing and data concepts.
It would be beneficial if the participant has completed the below-mentioned courses that include:
  • Microsoft Azure Fundamentals AZ-900 certification training
  • Microsoft Azure Data Fundamentals DP-900 certification training
 

Data Engineering on Microsoft Azure (DP-203) Training

 
Managing data has become of the key components of success in today’s data-centric world. With exabytes and petabytes of data getting generated on a daily basis, there is a hidden treasure that can be unearthed by proper analysis. Data Engineering has become one of the most sought-after professions by individuals globally across industry sectors. With businesses moving their critical processes onto the cloud, it is critical to understand how to perform data analysis on the cloud to reap rich dividends.
 
Participants taking part in this 4-day Data Engineering on Microsoft Azure training will learn about various data engineering techniques on a data set with real-time analytical solutions on the Azure platform and also optimize the performance to manage various degrees of data loads. This course helps candidates to prepare for their Microsoft DP-203 certification exam. The DP-203 exam cost is USD 165 and can be taken at the nearest Pearson Vue test center.
 

Key Features

  • Instructor-led Data Engineering on Microsoft Azure Certification Training
  • Get access to a DP-203 course preview to begin your preparation
  • Expert Microsoft instructors across the globe with real-world expertise
  • Accredited DP-203 course material prepared by SMEs
  • Data Engineering on Microsoft Training resources provided to learners from Microsoft and Koenig Solutions
  • DP-203 course completion certificate provided after the training
  • Learners can take up DP-203 training in 4 different learning modes 
  • Data Engineering on Microsoft Azure training provided across 100+ locations globally

Who can take up Data Engineering on Microsoft Azure Certification Training?

Job roles that can find Data Engineering on Microsoft Azure training include:
  • Data Professionals
  • Data Architects
  • Business Intelligence Professionals
  • Data Engineers
  • Business Analysts
  • Data Analysts
  • Data Scientists
  • Aspiring Data Engineers who are looking to build analytical solutions on the Microsoft Azure platform
  • Professionals who are looking to clear their DP-203 certification exam

Skills Measured for DP-203 Training / Exam Weightage

  • Designing and implementing data storage (40-45%)
  • Designing and developing data processing (25-30%)
  • Designing and implementing data security (10-15%)
  • Monitoring and optimizing data storage and data processing (10-15%)

Data Engineering on Microsoft Azure (DP-203) Exam Format

Exam Name

Data Engineering on Microsoft Azure

Exam Code

DP - 203

Exam Cost

USD 165

Exam Format

Multiple Choice and Multiple Response Questions

Total Questions

40-60 Questions

Passing Score

700 out of 1000

Exam Duration

130 Minutes

Languages

English

Testing Center

Pearson Vue
 
 

Salary Prospects of Managing Modern Desktops Certified Professional

Today data analysis and data handling is a key skill requirement for organizations around the world. As business-critical processes are moving to the cloud, it is becoming more and more complex to handle data across various platforms. Data analysis on Microsoft Azure leads to better handling of products and services offered to customers and also to innovate new features according to the needs of the customer. Let’s check out the salaries of certified Data Engineers for this DP-203 credential worldwide.
 
 
United States - USD 92,000 to USD 137,000
United Kingdom - Pounds 51,000 to 80,000
India - Rupees 4 lakhs to 13 lakhs 
Australia - AUD 90,000 to 120,000 
UAE - AED 129,000 to 330,000
Singapore - SGD 62,000 to 90,000
 

Job Prospects for Data Engineering on Microsoft Azure Certified Professionals

 
There is a growing demand for certified Data Engineers who can perform data analysis and build analytical solutions on the Microsoft Azure platform. As Microsoft Azure has become one of the key players in the cloud market with a growing market share, it is critical for individuals and enterprises to get trained their staff in relevant training programs such as Data Engineering on Microsoft Azure (DP-203). There are many large companies that are actively looking out for certified Data Engineers with DP-203 credentials include Accenture, Microsoft, Cognizant Technology Solutions, Nexient, McKinsey & Company, Apexon, Avanade, TCS, iknowvate technologies, Johnson Controls, Denken Solutions, Starbucks, and more.
 

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FAQ's

No, the published fee includes all applicable taxes.
To become a DP-203 certified professional, candidates have to:
  • Select a schedule for the Data Engineering on Microsoft Azure course and the delivery mode
  • Enrol for the certification course
  • Attend the 4-day instructor-led DP-203 training
  • Take up mock tests on the Qubits platform
  • Clear your DP-203 certification exam on your first attempt
 

 

Participants taking part in the DP-203 course will learn about:
  • Understanding various types of data engineering considerations
  • Exploring and computing storage options of different data workloads on Azure
  • Running interactive queries using serverless SQL pools
  • Performing data exploration and transformation in Azure Databricks
  • Ingesting and loading data onto the Data Warehouse
  • Transforming data with Azure Data Factory and Azure Synapse pipelines, and more

 

Professionals who are certified in Data Engineering on Microsoft Azure will earn anywhere in the range of USD 92,000 to USD 137,000 per annum in the US.

The cost for the DP-203 certification is USD 165, and it can be taken at any Pearson Vue test center either in person or through the web proctored mode.

Yes, Koenig Solutions is an accredited Microsoft Gold Partner to deliver Data Engineering on Microsoft Azure (DP-203) certification training to both individuals and enterprises worldwide.

After clearing the DP-203 certification exam, the certification will be valid for two years. If the DP-203 course gets an update, then learners will have to get certified in the latest version to keep their credentials valid.

As part of your DP-203 certification training, you will receive:
• A copy of the DP-203 course material prepared by SMEs
• Key resources from both Microsoft and Koenig Solutions
• Access to practical lab sessions and exercises developed by the trainer
• Course Completion Certificate