Microsoft Azure Data Fundamentals Training (DP-900)

Name: Microsoft Azure Data Fundamentals Training (DP-900)
Price: 1075 GBP
Availability: InStock

Description

Title: Microsoft Azure Data Fundamentals Training (DP-900)

Location: CA

Company: Learning Tree

In this Microsoft Azure Data Fundamentals course, students will gain foundational knowledge of core data concepts and related Microsoft Azure data services. Topics covered in this course are found on the Microsoft role-based DP-900 certification exam. Students will learn about core data concepts such as relational, non-relational, big data, and analytics and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore fundamental relational data concepts and relational database services in Azure. They will explore Azure storage for non-relational data and the fundamentals of Azure Cosmos DB. Students will learn about modern data warehousing, real-time analytics, and data visualization.

Azure Data Fundamentals Delivery Methods

In-Person
Online

Azure Data Fundamentals DP-900 Course Information

In this Azure Data Fundamentals course, you will learn how to:

Describe core data concepts.
Identify considerations for relational data on Azure.
Describe considerations for working with non-relational data on Azure.
Describe an analytics workload on Azure.

Azure Data Fundamentals Prerequisites

Prerequisite certification is not required before taking this course. However, successful Azure Data Fundamentals students start with essential knowledge of computing and Internet concepts and an interest in extracting insights from data.

Specifically:

Experience using a web browser, such as Microsoft Edge.
Familiarity with basic data-related concepts, such as working with data tables in a spreadsheet and visualizing data using charts.
A willingness to learn through hands-on exploration.

DP-900 Certification Information

This course can help you prepare for the following Microsoft role-based certification exam — Exam DP-900: Microsoft Azure Data Fundamentals.

Azure Data Fundamentals Instructor-Led Course Outline

Module 1: Explore core data concepts

Data powers the digital transformation sweeping across organizations and society in general. But what is "data," and how is it represented and used?

In this module, you will learn how to:

Identify common data formats
Describe options for storing data in files
Describe options for storing data in databases
Describe the characteristics of transactional data processing solutions
Describe the characteristics of analytical data processing solutions

Module 2: Explore data roles and services

Data professionals perform distinct roles in building and managing software solutions and work with multiple technologies and services.

In this module, you will learn how to:

Identify common data professional roles
Identify standard cloud services used by data professionals

Module 3: Explore fundamental relational data concepts

Relational database systems are a common way to store and manage transactional and analytical data in organizations of any size worldwide.

In this module, you'll learn how to:

Identify characteristics of relational data
Define normalization
Identify types of SQL statement
Identify everyday relational database objects

Module 4: Explore relational database services in Azure

Microsoft Azure provides multiple services for relational databases. You can choose the best relational database management system and host relational data in the cloud.

In this module, you'll learn how to:

Identify options for Azure SQL services
Identify options for open-source databases in Azure
Provision a database service on Azure

Module 5: Explore Azure Storage for non-relational data

Azure Storage is a core Microsoft Azure service commonly used to store non-relational data.

In this module, you'll learn how to:

Describe features and capabilities of Azure blob storage
Describe the features and capabilities of Azure Data Lake Gen2
Describe the features and capabilities of Azure file storage
Describe features and capabilities of Azure table storage
Provision and use an Azure Storage account

Module 6: Explore fundamentals of Azure Cosmos DB

Azure Cosmos DB provides a highly scalable store for non-relational data.

In this module, you'll learn how to:

Describe key features and capabilities of Azure Cosmos DB
Identify the APIs supported in Azure Cosmos DB
Provision and use an Azure Cosmos DB instance

Module 7: Explore fundamentals of large-scale data warehousing

Organizations use modern data warehousing to build large-scale data analytics solutions that generate insights and drive success. Microsoft Azure includes multiple technologies you can combine to build a modern data warehousing solution.

In this module, you will learn how to:

Identify common elements of a modern data warehousing solution
Describe critical features for data ingestion pipelines
Identify common types of analytical data stores and related Azure services
Provision Azure Synapse Analytics and use it to ingest, process, and query data

Module 8: Explore fundamentals of real-time analytics

Learn about the basics of stream processing and the services in Microsoft Azure that you can use to implement real-time analytics solutions.

Compare batch and stream processing.
Describe common elements of streaming data solutions
Describe the features and capabilities of Azure Stream Analytics
Describe features and capabilities of Spark Structured Streaming on Azure

Module 9: Explore fundamentals of data visualization

Learn the fundamental principles of analytical data modeling and data visualization using Microsoft Power BI as a platform to explore these principles in action.

After completing this module, you will be able to:

Describe a high-level process for creating reporting solutions with Microsoft Power BI
Describe the core principles of analytical data modeling
Identify common types of data visualization and their uses
Create an interactive report with Power BI Desktop