Accueil / DP-900 : Introduction to Microsoft Azure Data

DP-900 : Introduction to Microsoft Azure Data

4.5/5
AzureDataFundamentals
Level : Beginner
Useful information
Duration : 1 Day (7 Hours)
Remote price : 830 € excl tax/pers
Mock exam price : 60 € excl tax/pers
Voucher : Offered
Targeted audience
  • Any type of audience
Next dates
Remote
Intra-company
On demand
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Training Overview

The Azure Data Fundamentals training teaches you to master the fundamental concepts of databases in a Cloud environment.

The instructor provides all the essential skills regarding data services within Microsoft Azure.

The topics covered include relational and non-relational databases, big data analysis, as well as roles, tasks, and responsibilities in the data world.

The DP-900 training also addresses the processing options available for implementing data analysis solutions in Azure: Azure Synapse Analytics, Azure Databricks, and Azure HDInsight, and enables you to understand the Power BI data analysis solution.

Certification Azure Data FundamentalsDP-900: Azure Data Fundamentals

Learning Objectives

Trainees will be able to:

  • Explore core data concepts
  • Explore relational data in Azure
  • Explore non-relational data in Azure
  • Explore data analytics in Azure.
Training Program

Explore Key Data Concepts

  • 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.

 

Explore Data Roles and Services

  • Identify common roles of data professionals.
  • Identify common cloud services used by data professionals.

 

Explore Fundamental Relational Data Concepts

  • Identify the characteristics of relational data.
  • Define normalization.
  • Identify types of SQL statements.
  • Identify common relational database objects.

 

Explore Relational Database Services in Azure

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

 

Explore Azure Storage for Non-Relational Data

  • Describe the features and capabilities of Azure Blob Storage.
  • Describe the features and capabilities of Azure Data Lake Gen2.
  • Describe the features and capabilities of Microsoft OneLake in Fabric.
  • Describe the features and capabilities of Azure File Storage.
  • Describe the features and capabilities of Azure Table Storage.
  • Provision and use an Azure storage account.

 

Explore the Basics of Azure Cosmos DB

  • Describe the core features of Azure Cosmos DB.
  • Identify the supported APIs in Azure Cosmos DB.
  • Provision and use an Azure Cosmos DB instance.

 

Explore Fundamentals of Large-Scale Analytics

  • Describe data warehousing architecture.
  • Describe key features of data ingestion pipelines.
  • Identify common types of analytical data stores and associated Azure services.
  • Use Microsoft Fabric to ingest and analyze data.

 

Explore the Basics of Real-Time Analytics

  • Understand batch and stream processing.
  • Describe common elements of streaming data solutions.
  • Describe the features and capabilities of Real-time Intelligence in Microsoft Fabric.
  • Describe the features and capabilities of Apache Spark Structured Streaming on Azure.
  • Explore real-time analytics in Microsoft Fabric.

 

Explore Fundamentals of Data Visualization

  • Outline a general process for creating reporting solutions with Microsoft Power BI.
  • Describe basic principles of analytical data modeling.
  • Identify common types of data visualizations and their uses.
  • Create an interactive report with Power BI Desktop.
Updated on 05/11/2024
Teaching Method

In this training, we mix theory with technical workshops to quickly make you operational. Additionally, each participant receives course materials at the end of the training.

One of our consultant trainers conducts the training. With solid field experience, they make the learning process both interactive and enriching.

For assessment, the trainer regularly asks questions and uses various methods to continuously measure your progress. This approach promotes a dynamic and engaging learning experience.

After the training, we ask you to complete a satisfaction questionnaire. Your feedback helps us to maintain and constantly improve the quality of our training.

Finally, we offer the flexibility to deliver this training both in-person and remotely, and it can be customized to meet your company’s specific needs upon request.

Prerequisites

No technical prerequisites are required for this training.

Accessibility

You can register for one of our training courses up to two business days before it starts, if there are still available places and you signed quote.

If you have specific needs related to a disability, please do not hesitate to make a request; we are happy to adjust our services according to the type of disability.

Pre-certification

This training leads for the Microsoft certification “DP-900 – Azure Data Fundamentals.” We recommend registering for the exam approximately one month after completing the training. The course material provided during the training will help you properly review for your certification.

You can register for certification on the Microsoft site. If you would like to buy a certification voucher from us, or if you would like us to support you in this process, please contact us

Pre-registration to the training
DP-900 : Introduction to Microsoft Azure Data

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