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  • 32 Hours

  • In-Person, Onsite

  • English

  • Cost

Overview

In this course, the student will learn about data engineering as it pertains to working with batch and real-time analytical solutions using Azure data platform technologies. Students will begin by understanding the core computing and storage technologies that are used to build an analytical solution. The students will learn how to interactively explore data stored in files in a data lake. They will 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. The students will also learn the various ways they can transform the data using the same technologies that are used to ingest data. They will understand the importance of implementing security to ensure that the data is protected at rest or in transit. The student will then show how to create a real-time analytical system to create real-time analytical solutions.

This course is designed for individuals who aim to understand the fundamentals of database concepts in a cloud environment, acquire basic skills in cloud data services, and deepen their foundational knowledge of Microsoft Azure’s data services.

Roles

  • Database Engineer

What You'll Learn

  • Design and implement various stages and concepts in the data engineering lifecycle (storage, processing, security) in Microsoft Azure
  • Create and perform data service operations (monitoring and optimization) in Microsoft Azure

Skills You'll Gain

  • Data Science
  • Azure

Total hours

  • Total: 32 Hours

  • Sync Hands-on/Lecture: 12 Hours
  • Async Learning: 11 Hours
  • Assessment: 9 hours

Course outline

  • Module 1: Introduction to Azure Data Engineering

  • Module 2: Data Operations with Azure Synapse Analytics

  • Module 3: Working with Relational Data Warehouse

  • Module 4: Data Pipelining and HTAP Planning

  • Module 5: Implementing Azure Synapse Link

  • Module 6: Azure Stream Analytics

  • Module 7: Microsoft Purview Integration

  • Module 8: Azure Databricks and Data Factory

Required resources

Laptop, Intel Core i5 or higher, 16GB RAM, 1TB Storage, Graphics Card (Hardware); Microsoft Azure (Software); Adequate Internet Connection (Network)

Pre-Requisites

The primary audience for this course is 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. The secondary audience for this course are data analysts and data scientists who work with analytical solutions built on Microsoft Azure.

Assessment

Practical Assessment: Hands-on activities are prepared to assess the attainment of learning outcomes.

Final Assessment: This exam is an opportunity to demonstrate knowledge of core data concepts and related Microsoft Azure data services. 

Credit and Recognition

The learner is eligible to take the Microsoft Certified: Azure Data Engineer Associate.

 

Earn this BatStateU – Microsoft LearnBadge and highlight it in your performance review!

Share your achievement on your LinkedIn profile, resume or CV, and social media accounts.”

 

This course is accredited by Microsoft and is facilitated by a Microsoft Certified professional.

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