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Data Engineering on Microsoft Azure (DP-203T00) Certification Training

DP-203 Certification Training

Learn data engineering for working with batch and real-time analytical solutions utilizing Azure data platform technologies with the four-day-long Data Engineering on Microsoft Azure training. Our Azure-authorized instructors begin by explaining core compute and storage technologies for building

Duration : 4 Days

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data engineering on microsoft azure dp 203t00 certification

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Overview Learning Objectives Who Should Attend Prerequisite Outline

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

Vinsys Microsoft Azure Data Engineering training enables you to explore data stored in files in a data lake. you understand ingestion techniques for loading data through the Apache Spark capability in Azure Synapse analytics/Databricks. The detailed intermediate-level course explains how to ingest using Azure Data Factory or Synapse pipelines. It covers multiple ways for transforming data using the same technologies deployed for ingesting. In the end, the training describes the importance of implementing Security for ensuring data protection at rest or in transit. Finally, it lets you create a real-time analytical system for real-time analytical solutions.

The Azure DP-203T00 course also prepares you for the DP-203 exam to secure the Microsoft Azure Data Engineer Associate credential.

Course Objectives

Learning compute/storage options for data engineering workloads in Microsoft Azure.
Running interactive queries using serverless SQL pools.
Performing data exploration/transformation in Azure Databricks.
Exploring, transforming, and loading data into the Data Warehouse using Apache Spark.
Ingesting/loading data into the Data Warehouse.
Transforming data with Azure Data Factory or Synapse Pipelines.
Integrating data from Notebooks with Azure Data Factory or Synapse Pipelines.
Supporting Hybrid Transactional Analytical Processing (HTAP) with Microsoft Azure Synapse Link.
Performing end-to-end security with Azure Synapse Analytics.
Performing real-time Stream Processing with Stream Analytics.
Creating a Stream Processing Solution with Event Hubs and Azure Databricks.

Audience

Data Professionals/Architects and BI Professionals willing to learn data engineering and building analytical solutions using data platform technologies existing on Microsoft Azure.
Data Analysts and Data Scientists working with analytical solutions built on Azure.
Job Role: Data Engineer.
Those who wish to secure the Microsoft Azure Data Engineer Associate certification.

Eligibility Criteria

Knowledge of cloud computing and core data concepts.
Experience with data solutions.
Must have cleared AZ-900: Azure Fundamentals and DP-900: Microsoft Azure Data Fundamentals exams.

Course Outline

Compute & Storage Options for Data Engineering Workloads

Microsoft Azure Synapse Analytics introduction
Azure Databricks
Azure Data Lake storage introduction
Delta Lake architecture
Work with data streams using Azure Stream Analytics

Run Interactive Queries Using Microsoft Azure Synapse Analytics Serverless SQL Pools

Explore Azure Synapse serverless SQL pools capabilities
Query data in the lake via Azure Synapse serverless SQL pools
Create metadata objects in Azure Synapse serverless SQL pools
Secure data and manage users in Azure Synapse serverless SQL pools

Data Exploration & Transformation in Azure Databricks

Microsoft Azure Databricks
Read/Write data in Azure Databricks
Work with DataFrames
Work with DataFrames advanced methods

Explore, Transform & Load Data into the Data Warehouse Using Apache Spark

Big data engineering with Apache Spark in Azure Synapse Analytics
Ingest data with Apache Spark notebooks
Transform data with DataFrames in Apache Spark Pools in Azure Synapse Analytics
Integrate SQL/Apache Spark pools in Azure Synapse Analytics

Ingest & Load Data into the Data Warehouse

Use data loading best practices in Microsoft Azure Synapse Analytics
Petabyte-scale ingestion with Azure Data Factory

Transform Data with Azure Data Factory/Azure Synapse Pipelines

Data integration with Azure Data Factory/Azure Synapse Pipelines.
Code-free transformation at scale with Azure Data Factory or Azure Synapse Pipelines.

Orchestrate Data Movement & Transformation in Azure Synapse Pipelines

Orchestrate data movement/transformation in Azure Data Factory

End-to-end Security with Azure Synapse Analytics

Secure a data warehouse in Azure Synapse Analytics
Configure/manage secrets in Azure Key Vault
Implement compliance controls for sensitive data

Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link

Design hybrid transactional/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

Real-time Stream Processing with Stream Analytics

Enable reliable messaging for Big Data applications through Microsoft Azure Event Hubs
Work with data streams using Azure streams analytics
Ingest data streams with Azure streams analytics

Create a Stream Processing Solution with Event Hubs & Azure Databricks

Process streaming data with Azure Databricks structured streaming

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ONLINE TRAINING

4 days Instructor-led Online Training
Experienced Subject Matter Experts
Approved and Quality Ensured training Material
24*7 leaner assistance and support

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CORPORATE TRAINING

Blended Learning Delivery Model (Self-Paced E-Learning And/Or Instructor-Led Options)
Course, Category, And All-Access Pricing
Enterprise-Class Learning Management System (LMS)
Enhanced Reporting For Individuals And Teams
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FAQ’s

Why should I learn Data Engineering on Microsoft Azure course from Vinsys?

Vinsys is a globally recognized Corporate and Individual training provider, and an official Microsoft partner for Azure certifications. Our instructor-led online courses, customizable skill-development programs, and 24*7 learner support ensure the most detailed upskilling experience, a must for capitalizing on valuable Azure Data Engineering opportunities.

Will Data Engineers cover the Azure DP-203T00 training from Vinsys?

Vinsys is a Microsoft Learning Partner. It ensures that the course is facilitated only by highly experienced, industry-recognized, and Azure-certified instructors with real-world expertise in Azure Data Engineering.

What's the hourly duration of this Azure course?

32 hours, spread across 4 days.

Does the Azure Data Engineering training prepare you for an advanced or specialty certification?

No, it prepares you for an associate-level Microsoft Certified Azure Data Engineer credential.

Is there an additional exam that must be passed for earning the Microsoft Azure Data Engineer Associate certification?

Only one exam: DP-203: Data Engineering on Microsoft Azure.

Broadly speaking, what skills does the certification exam DP-203 measure?

It tests your abilities for designing, developing, implementing, monitoring, and optimizing data storage/processing. The exam also verifies your skills for designing and implementing data security.

Does the DP-203 exam expire or ever become irrelevant?

The immense knowledge and practical skills you learn continue to help throughout your career. At this stage, no retirement or expiry date has been declared by Microsoft.

Does Vinsys provide any evidence of course participation?

Yes, you get a certificate of attendance from Microsoft.