M-DP203, Data Engineering on Microsoft Azure | Global Knowledge Skip to main Content

Data Engineering on Microsoft Azure (DP-203)

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.

Delivery Format

  • Public Classroom

    Traditional Classroom Learning

  • Virtual Learning

    Learning that is virtual

9 courses found

    • Delivery Format: Virtual Learning
    • Date 27-30 May, 2024
    • Location: Virtual

    • Guaranteed  To Run

    eur2.145,00

    • Delivery Format: Virtual Learning
    • Date 24-27 June, 2024
    • Location: Virtual
    • Language: Dutch

    • Guaranteed  To Run

    eur2.145,00

    • Delivery Format: Virtual Learning
    • Date 29 July-01 August, 2024
    • Location: Virtual

    eur2.145,00

    • Delivery Format: Virtual Learning
    • Date 26-29 August, 2024
    • Location: Virtual
    • Language: Dutch

    eur2.145,00

    • Delivery Format: Virtual Learning
    • Date 23-26 September, 2024
    • Location: Virtual

    eur2.145,00

    • Delivery Format: Virtual Learning
    • Date 28-31 October, 2024
    • Location: Virtual
    • Language: Dutch

    eur2.145,00

    • Delivery Format: Virtual Learning
    • Date 25-28 November, 2024
    • Location: Virtual

    eur2.145,00

    • Delivery Format: Virtual Learning
    • Date 16-19 December, 2024
    • Location: Virtual
    • Language: Dutch

    eur2.145,00

    • Delivery Format: Virtual Learning
    • Date 13-16 January, 2025
    • Location: Virtual

    eur2.145,00

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