See how Insoft Services is responding to COVID-19

Designing and Implementing Big Data Analytics Solutions

X

Contact Us

We would love to hear from you. Please complete this form to pre-book or request further information about our delivery options.

Subscribe

I'd like to receive emails with the latest updates and promotions from Insoft.

Data Protection & Privacy

I hereby allow Insoft Ltd. to contact me on this topic. Further, I authorise Insoft Ltd. processing, using collecting and storing my personal data for the purpose of these activities. All your data will be protected and secured as outlined in our privacy policy.


Upcoming Courses

Nov 17 - Nov 18, 2020
09:00 - 17:00 (CEST)
Online

Feb 23 - Feb 24, 2021
09:00 - 17:00 (CEST)
Online

May 25 - May 26, 2021
09:00 - 17:00 (CEST)
Online

Aug 26 - Aug 27, 2021
09:00 - 17:00 (CEST)
Online

Nov 18 - Nov 19, 2021
09:00 - 17:00 (CEST)
Online

  • Designing and Implementing Big Data Analytics Solutions
    2 days  (Instructor Led Online)  |  Analytics and Data Management Courses

    Course Details

    The Designing and Implementing Big Data Analytics Solutions course is a two-day instructor-led training that prepares data professionals who want to expand their knowledge about creating big data analytic solutions on Microsoft Azure. Students will learn how to design solutions for batch and real-time data processing. Different methods of using Azure will be discussed and practised in lab exercises, such as Azure CLI, Azure PowerShell and Azure Portal. 55224A-1 labs and exercises cover the first two objectives of exam 70-475 (Designing Big Data batch, interactive & real-time solutions). The other two objectives (Designing Machine Learning and cloud analytics solutions) are covered in 55224A-2.

     

    See other Microsoft courses

    Objectives

    After completing this course, students will be able to:

    • Design big data batch processing and interactive solutions (55224A-1)
    • Design big data real-time processing solutions (55224A-1)
    • Design Machine Learning solutions (55224A-2)
    • Operationalize end-to-end cloud analytics solutions (55224A-2)

    Outline

    Module 1: Design big data batch processing and interactive solutions

    Covered in 55224A-1: This module explains how to load data into Microsoft Azure for batch processing.

    Lessons:

    • Ingest data for batch processing
    • Design for batch processing
    • Design interactive queries
    • Review

    Lab: Design big data batch processing and interactive solutions

    • Load data into Microsoft Azure
    • Prepare data for batch processing
    • Query the data

    After completing this module, students will be able to:

    • Load data into Microsoft Azure
    • Prepare data for batch processing
    • Query the data

     

    Module 2: Design big data real-time processing solutions

    Covered in 55224A-1: This module explains how to load data into Microsoft Azure for real-time processing.

    Lessons:

    • Ingest data for real-time processing
    • Design for real-time processing
    • Design interactive queries for big data
    • Review

    Lab: Design big data real-time processing solutions

    • Load data into Microsoft Azure
    • Prepare data for real-time event processing
    • Visualize the data

    After completing this module, students will be able to:

    • Load data into Microsoft Azure
    • Prepare data for real-time event processing
    • Visualize the data

     

    Module 3: Design Machine Learning solutions

    Covered in 55224A-2: This module explains how to use machine learning models to automate data analysis.

    Lessons:

    • Create workspaces
    • Select models and query parameters
    • Publish web services
    • Review

    Lab: Design Machine Learning solutions

    • Create workspaces
    • Select models and query parameters
    • Publish web services

    After completing this module, students will be able to:

    • Create and share workspaces
    • Select models and query parameters
    • Access the machine learning models

     

    Module 4: Operationalize end-to-end cloud analytics solutions

    Covered in 55224A-2: This module explains how to Azure Data Factory to centrally manage data from different sources.

    Lessons:

    • Create a data factory
    • Manage and Monitor the data factory
    • Deploy end-to-end solutions using PowerShell
    • Review

    Lab: Operationalize end-to-end cloud analytics solutions

    • Create a data factory
    • Manage and Monitor the data factory
    • Deploy end-to-end solutions using PowerShell

    After completing this module, students will be able to:

    • Create a data factory
    • Manage and Monitor the data factory
    • Deploy a data factory using PowerShell

    Target Audience

    This course is intended for experienced data professionals who design big data analytics solutions on Microsoft Azure.

    Prerequisites

    Before attending this course, students must have:

    • Experience processing and querying bulk data
    • Experience analyzing real-time and historical data
    • Experience using SQL and data analysis / visualization tools (e.g. Power BI)
    • Experience using PowerShell (Note: A basic PowerShell tutorial is included in the course.)