DP-203: Data Engineering on Microsoft Azure - Blended Learning

Length: 1.5 Day(s)     Cost:$1295 + GST

= Scheduled class     = Guaranteed to run     = Fully booked

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LOCATION September October November December
Auckland
Hamilton
Christchurch
Wellington
Virtual Class

In this course, the student 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. Students 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 an analytical serving layers and focus on data engineering considerations for working with source files. 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 is used to ingest data. The student will spend time on the course learning how to monitor and analyze the performance of analytical system so that they can optimize the performance of data loads, or queries that are issued against the systems. 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 the data in an analytical system can be used to create dashboards, or build predictive models in Azure Synapse Analytics.


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 data analysts and data scientists who work with analytical solutions built on Microsoft Azure.
Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions. Specifically completing:
  • AZ-900 - Azure Fundamentals
  • DP-900 - Microsoft Azure Data Fundamentals

  • E - Learning Modules

    • Explore computer vision in Microsoft Azure
    • Azure for the Data Engineer
    • Data engineering with Azure Databricks
    • Perform data engineering with Azure Synapse Apache Spark Pools

    Live Virtual Coaching

    • 1 day live virtual coaching with exam prep - please select a scheduled date that suits.

    Exam

    • Exam voucher valid for Online Proctoring or via a New Zealand Pearson Vue test centre.