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Data Engineering on Microsoft Azure

In this DP-203 course, you 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. You will begin by understanding the core compute and storage technologies that are used to build an analytical solution. You will then explore how to design an analytical serving layers and focus on data engineering considerations for working with source files. You will learn how to interactively explore data stored in files in a data lake. Then you 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.

You will also learn the various ways they can transform the data using the same technologies that is used to ingest data. You will spend time on the course learning how to monitor and analyze the performance of analytical system so that you can optimize the performance of data loads, or queries that are issued against the systems. You will understand the importance of implementing security to ensure that the data is protected at rest or in transit. You 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

  • Company Event

    Event at company

  • Public Classroom

    Traditional Classroom Learning

  • Virtual Learning

    Learning that is virtual

28 courses found

    • Delivery Format: Virtual Learning
    • Date 09-12 June, 2024
    • Location: Virtual
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    $1,201.00

    • Delivery Format: Virtual Learning
    • Date 10-13 June, 2024
    • Location: Virtual

    $1,201.00

    • Delivery Format: Public Classroom
    • Date 23-26 June, 2024
    • Location: Riyadh
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    • Delivery Format: Virtual Learning
    • Date 14-17 July, 2024
    • Location: Virtual
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    • Delivery Format: Public Classroom
    • Date 21-24 July, 2024
    • Location: Riyadh
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    $1,201.00

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

    $1,201.00

    • Delivery Format: Virtual Learning
    • Date 11-14 August, 2024
    • Location: Virtual
    Request Space

    $1,201.00

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