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DP-203T00-AC- Data Engineering on Microsoft Azure

CODE: ITAZ13

DURATION: 3 Days/5 Days

CERTIFICATIONS: CPD

  • Modern facilities
  • Course materials and certificate
  • Accredited international trainers

3 Days

$ 2350

5 Days

$ 3310

Course Overview

In this course, participants will learn about the data engineering patterns and practices as it pertains to working with batch and real-time analytical solutions using Azure data platform technologies. They will begin by understanding the core compute and storage technologies that are used to build an analytical solution. They will then explore how to design analytical serving layers and focus on data engineering considerations for working with source files. In addition, participants will learn how to interactively explore data stored in files in a data lake. They will also learn the various ingestion techniques that can be used to load data using the Apache Spark capability found in Azure Synapse Analytics or Azure Databricks, or how to ingest using Azure Data Factory or Azure Synapse pipelines.

Course Delivery

This course is available in the following formats:

Virtual

Classroom

Request this course in a different delivery format.

Course Outcomes

After completing this course, students will be able to:

Explore compute and storage options for data engineering workloads in Azure

Explore, transform, and load data into the Data Warehouse using Apache Spark

Perform data Exploration and Transformation in Azure Databricks

Transform Data with Azure Data Factory or Azure Synapse Pipelines

Integrate Data from Notebooks with Azure Data Factory or Azure Synapse Pipelines

Optimize Query Performance with Dedicated SQL Pools in Azure Synapse

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

Create a Stream Processing Solution with Event Hubs and Azure Databricks

Build reports using Power BI integration with Azure Synapse Analytics

Perform Integrated Machine Learning Processes in Azure Synapse Analytics

Key Course Highlights

At the end of this course, you’ll understand:

  • Overview of Azure data services
  • Designing data storage solutions
  • Batch and streaming data processing
  • Data integration with Azure Data Factory
  • Building data pipelines
  • Managing data security and compliance
  • Monitoring and optimizing data solutions
  • Implementing data lakes and lake houses
  • Working with Azure Synapse Analytics
  • Hands-on labs and real-world scenarios
Who Should Attend

The course is for data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. Also, the data analysts and data scientists who work with analytical solutions built on Microsoft Azure.

Upcoming Course Dates

Delivery Format: Classroom & Virtual

Date: 14/04/2025

Location: London

Delivery Format: Classroom & Virtual

Date: 22/09/2025

Location: London

Delivery Format: Classroom & Virtual

Date: 24/11/2025

Location: Los Angeles

DP-203T00-AC- Data Engineering on Microsoft Azure

✓ Modern facilities

✓ Course materials and certificate

✓ Accredited international trainers

✓ Training materials and workbook

✓ Access to online resources

Your request has been sent the team will get back to you within 24 hours

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