Designing & Implementing Big Data Analytics Solutions

Designing & Implementing Big Data Analytics Solutions – 55224

55224A is a four-day instructor-led course and is intended for 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 practiced in lab exercises, such Azure CLI, Azure PowerShell and Azure Portal. Students will also learn how to operationalize end-to-end cloud analytics solutions using the Azure Portal and Azure PowerShell. Enroll & Get Certified now!

✔ Course Duration : 32 hrs

✔ Training Options : Live Online / Self-Paced / Classroom

✔ Certification Pass : Guaranteed

Designing & Implementing Big Data Analytics Solutions – 55224

What you will Learn

After completing this course, students will be able to:

Design big data batch processing and interactive solutions
Design big data real-time processing solutions
Design Machine Learning solutions
Operationalize end-to-end cloud analytics solutions

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.)

CURRICULUM

Learning Objectives:

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

Learning Objectives:

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

Learning Objectives:

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

Learning Objectives:

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

Learning Objectives:

This module explains how to Azure Data Factory to centrally manage data from different sources.
Lessons
• Create a data factory
• Create a data-driven workflow
• Monitor and manage the data factory
• Move, Transform and Analyze Data
• Design a deployment strategy for an end-to-end solution
• Review
Lab : Operationalize end-to-end cloud analytics solutions
• Create a data factory
• Create a data-driven workflow
• Monitor and manage the data factory
• Move, Transform and Analyze Data
• Design a deployment strategy for an end-to-end solution

Learning Objectives:

This module explains how to use PowerShell to administer computer, network, application and Azure resources.
Lessons
• Introduction
• Compared to Other Scripting Languages
• Configuring and Using PowerShell
• Creating and Running Scripts
• Administering Local Resources
• Administering Network Resources
• Resolve PowerShell Scripting Problems.
Lab : Lab B: Operationalize end-to-end cloud analytics solutions
• Use PowerShell to get Computer Information
• Use PowerShell documentation to understand and use cmdlets
• Create and execute scripts
• Configure and test Remote Management
• Create and Azure VM with Azure PowerShell

FAQs

You can enroll for this classroom training online. Payments can be made using any of the following options and receipt of the same will be issued to the candidate automatically via email.
1. Online ,By deposit the mildain bank account
2. Pay by cash team training center location

Highly qualified and certified instructors with 20+ years of experience deliver more than 200+ classroom training.

Contact us using the form on the right of any page on the mildaintrainings website, or select the Live Chat link. Our customer service representatives will be able to give you more details.

You will never miss a lecture at Mildaintrainigs! You can choose either of the two options: View the recorded session of the class available in your LMS. You can attend the missed session, in any other live batch.

We have a limited number of participants in a live session to maintain the Quality Standards. So, unfortunately, participation in a live class without enrollment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in a class.

Yes, you can cancel your enrollment if necessary prior to 3rd session i.e first two sessions will be for your evaluation. We will refund the full amount without deducting any fee for more details check our Refund Policy

Yes, the access to the course material will be available for lifetime once you have enrolled into the course.

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