DP-900T00 MICROSOFT AZURE DATA FUNDAMENTALS

DP-900T00 MICROSOFT AZURE DATA FUNDAMENTALS

Summary

Location

Location

Malaysia

Duration

Duration

1 Day
Format

Format

Public Class

Public Class

Unlock the Power of Data with our Power BI Training

Are you ready to harness the full potential of your data? Our ‘DP-900T00 Microsoft Azure Data Fundamentals’ course offers comprehensive Power BI training that will empower you to transform raw data into actionable insights.

Why Choose Our Power BI Training?

In this engaging course, you’ll dive into the world of cloud data services within Microsoft Azure. You’ll not only gain a solid understanding of core data concepts, but also explore how to leverage Azure to work with relational and non-relational data. Discover the secrets of modern data warehousing and analytics with tools like Azure Synapse Analytics, Azure Databricks, and Azure HDInsight.

Hands-On Learning for Real-World Results

Our hands-on approach ensures that you not only learn about Power BI but also build the skills needed to use it effectively. So, join us on this data-driven journey, and unleash the power of data with our Power BI training. Don’t miss out on this opportunity to supercharge your data analysis skills and stay ahead in the ever-evolving world of technology.

Course Details

Course Code: DP-900; Instructor-led

In this course, students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will identify and describe core data concepts such as relational, non-relational, big data, and analytics, and explore how this technology is implemented with Microsoft Azure. They will explore the roles, tasks, and responsibilities in the world of data. The students will explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Microsoft Azure. They will explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure. Students will explore the processing options available for building data analytics solutions in Azure. They will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Students will learn what Power BI is, including its building blocks and how they work together.

Audience

In this course, students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will identify and describe core data concepts such as relational, non-relational, big data, and analytics, and explore how this technology is implemented with Microsoft Azure. They will explore the roles, tasks, and responsibilities in the world of data. The students will explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Microsoft Azure. They will explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure. Students will explore the processing options available for building data analytics solutions in Azure. They will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Students will learn what Power BI is, including its building blocks and how they work together.

Prerequisites

Before attending this course, students must have:

  • Azure Fundamentals
  • Understanding of data science including how to prepare data, train models, and evaluate competing models to select the best one.

How to program in the Python programming language and use the Python libraries: pandas, scikit-learn, matplotlib, and seaborn

Methodology

This program will be conducted with interactive lectures, PowerPoint presentations, discussions and practical exercises

Course Objectives

Gain the necessary knowledge about how to use Azure services to develop, train, and deploy, machine learning solutions. The course starts with an overview of Azure services that support data science. From there, it focuses on using Azure’s premier data science service, Azure Machine Learning service, to automate the data science pipeline. This course is focused on Azure and does not teach the student how to do data science. It is assumed students already know that.

Outlines

Students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will identify and describe core data concepts such as relational, non-relational, big data, and analytics, and explore how this technology is implemented with Azure. Students will explore the roles, tasks, and responsibilities in the world of data.

Lessons

  • Explore core data concepts
  • Explore roles and responsibilities in the world of data
  • Describe concepts of relational data
  • Explore concepts of non-relational data
  • Explore concepts of data analytics

After completing this module, students will be able to:

  • Show foundational knowledge of cloud data services within Azure
  • Identify and describe core data concepts such as relational, non-relational, big data, and analytics
  • Explain how this technology is implemented with Azure

Students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Azure.

Lessons

  • Explore relational data offerings in Azure

  • Explore provisioning and deploying relational database offerings in Azure

  • Query relational data in Azure

After completing this module, students will be able to:

  • Describe relational data offerings on Azure
  • Explain provisioning and deploying relational databases on Azure
  • Query relational data through cloud data solutions in Azure

Students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Azure. Students will explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure.

Lessons

  • Explore non-relational data offerings in Azure
  • Explore provisioning and deploying non-relational data services on Azure
  • Manage non-relational data stores in Azure

After completing this module, students will be able to:

  • Describe non-relational data offerings on Azure
  • Explain provisioning and deploying non-relational databases on Azure
  • Describe non-relational data stores on Azure

Students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Azure. Students will explore the processing options available for building data analytics solutions in Azure. Students will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Students will learn what Power BI is, including its building blocks and how they work together.

Lessons

  • Examine components of a modern data warehouse
  • Explore data ingestion in Azure
  • Explore data storage and processing in Azure
  • Get started building with Power BI

After completing this module, students will be able to:

  • Describe processing options available for building data analytics solutions in Azure
  • Describe Azure Synapse Analytics, Azure Databricks, and Azure HDInsight
  • Explain what Microsoft Power BI is, including its building blocks and how they work together

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Reviews

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DP-900T00 MICROSOFT AZURE DATA FUNDAMENTALS

Starting From
RM1100
Intake Date
2 MAR 2024
,
4 MAY 2024
,
10 JULY 2024
,
19 SEPT 2024
,
5 NOV 2024
Class Type
Private, Public

Why Us

Variety of Courses

Variety of Courses

Customizable Class

Customizable Class

Consultants Facilitate

Consultants Facilitate

HRDF Claimable

HRDF Claimable

Professional Certifications

Professional Certifications

Free Chat to Get Quote

Free Chat to Get Quote

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