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

Data professionals who want to create cutting-edge analytics solutions on the DP-203T00 Data Engineering on Microsoft Azure platform should enroll in the certification training course. Data engineering, big data, HDInsight, Azure Machine Learning, and other relevant subjects are discussed over the duration of the course. See below for information on when you may take the DP-203 course required for certification.

Course Prerequisites:

Students enrolling in DP-203: Data Engineering on Microsoft Azure should have a familiarity with cloud computing and data fundamentals prior to beginning the course.

Having taken the recommended courses is a plus, and they are as follows:

• Education leading to the AZ-900 Microsoft certification in Azure Fundamentals.
• Certification in Microsoft's Azure Data Fundamentals DP-900.

Learn the fundamentals of Data Engineering on Microsoft Azure with an instructor-led class like DP 203:

• Taught by industry veterans from Microsoft offices throughout the world.
• Curriculum for DP-203 that has been approved and written by subject matter experts.
• Students may get training materials for Data Engineering on Microsoft products from both Microsoft and MeeshaSoftware.
• After completing the DP-203T00 Data Engineering on Microsoft Azure program, participants are awarded a completion certificate.
• Students have their choice of four alternative study formats to complete DP-203 instruction.
• Offering Data Engineering on Microsoft Azure Training in more than a hundred different countries.
• In order to get a head start on your DP-203 preparation, you may obtain a course preview.

Who is eligible to participate in the Data Engineering on Microsoft Azure Certification Training course?

Data Engineering on Microsoft Azure courses may benefit professionals in the following fields:

• Experts in the Management of Data.
• Professions involving the design of data structures.
• Experts in Business Intelligence
• Analysts and Designers of Data.
• Analysts who study businesses.
• Researchers who delve into data.
• Professionals in the field of data science.
• Intending Data Engineers who want to use the Microsoft Azure platform to create analytical solutions.
• Anyone who has to pass the DP-203 test for professional certification.

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

Measured Abilities for the DP-203 Course and Exam:

• Data storage system architecture and implementation (40%-45%).
• Planning and creating data processing (25-30%).
• Information security planning and implementation (10-15%)
• Ten percent to fifteen percent of your time should be spent keeping an eye on and fine-tuning your data storage and processing setup.

You are going to learn:

• Module 1:

In this first module, we will investigate different computing and storage infrastructures in relation to data engineering tasks.

Details are currently unavailable.

• Module 2: 

Conduct real-time queries in a serverless SQL pool hosted by Azure Synapse

Details are currently unavailable.

• Module 3: 

Using Azure Databricks for Data Exploration and Transformation

Details are currently unavailable.

• Module 4: 

Utilizing Azure Synapse Analytics with Apache Spark to Discover, Transform, and Load Data into the Data Warehouse

Details are currently unavailable.

• Module 5:

Data Warehouse Ingest and Load.

Details are currently unavailable.

• Module 6:

Data transformation with Azure Data Factory or Azure Synapse Pipelines is covered .

Details are currently unavailable.

• Module 7:

The seventh module explains how to use Azure Data Factory and Azure Synapse Pipelines to orchestrate the processing and transformation of data.

Details are currently unavailable.

• Module 8:

Intro to Azure Synapse Analytics for End-to-End Security (Module 8)

Details are currently unavailable.

• Module 9:

 Azure Synapse Link for Hybrid Transactional Analytical Processing.

Unfortunately, information is yet unavailable.

• Module 10:

The tenth module covers processing streams in real time using Azure Stream Analytics.

Details are currently unavailable.

• Module 11: 

Construct an Azure Databricks and Event Hubs-based Stream Processing Solution.

Details are currently unavailable.