Course Description
Students will learn the fundamentals of fundamental data concepts and associated Microsoft Azure data services in this course. Students will gain a solid understanding of Microsoft Azure's cloud data services as well as fundamental concepts in relational, non-relational, big data, and analytics. The fundamentals of relational data and relational database services in Azure will be explored by the students. They will investigate Azure storage for non-relational data as well as Azure Cosmos DB's foundations. Large-scale data warehousing, real-time analytics, & data visualization will all be covered in class.
Prerequisites
Before enrolling in this course, no prerequisite certification is necessary. Students who succeed in Azure Data Fundamentals have a foundational understanding of computing and Internet concepts, as well as an interest in gaining insights from data.
Specifically:
- Knowledge of a web browser, preferably Microsoft Edge.
- Knowledge of fundamental data concepts, including using spreadsheets to work with data tables and charts to visualize data.
- A willingness to learn through hands-on exploration
Target Audience
This training is for those who want to build their foundational understanding of cloud data services within Microsoft Azure, learn the fundamentals of database concepts in a cloud environment, and acquire fundamental skills in cloud data services.
Job role: Data Engineer
Content Outline
- Recognize common data formats
- Explain options for storing data in files
- Explain options for storing data in databases
- Explain the characteristics of transactional data processing solutions
- Explain the features of analytical data processing solutions
- Recognize common data professional roles
- Recognize standard cloud services used by data professionals
- Recognize characteristics of relational data
- Define normalization
- Recognize types of SQL statement
- Recognize everyday relational database objects
- Recognize options for Azure SQL services
- Recognize opportunities for open-source databases in Azure
- Provision a database service on Azure
- Explain the features & capabilities of Azure blob storage
- Explain the features & capabilities of Azure Data Lake Gen2
- Explain the features & capabilities of Azure file storage
- Explain the features & capabilities of Azure table storage
- Provision & use an Azure Storage account
- Explain the critical features & capabilities of Azure Cosmos DB
- Recognize the APIs supported in Azure Cosmos DB
- Provision & use an Azure Cosmos DB instance
- Recognize common elements of a modern data warehousing solution
- Explain critical features for data ingestion pipelines
- Recognize common types of analytical data store & related Azure services
- Provision Azure Synapse Analytics & use it to ingest, process, & query data
- Compare batch & stream processing
- Explain common elements of streaming data solutions
- Explain the features & capabilities of Azure Stream Analytics
- Explain the features & capabilities of Spark Structured Streaming on Azure
- Explain the features & capabilities of Azure Synapse Data Explorer
- Explain a high-level process for creating reporting solutions with Microsoft Power BI
- Explain the core principles of analytical data modeling
- Recognize common types of data visualization & their uses
- Create an interactive report with Power BI Desktop
FAQs
A chance to demonstrate an understanding of cloud concepts, Azure services, Azure workloads, security & privacy in Azure, and Azure pricing & support is provided by the Azure Fundamentals certification.
Microsoft Azure, formerly known as Windows Azure, is a cloud computing platform made by Microsoft that enables users to successfully develop, deploy, and manage applications and services across a vast network of data centers.
IT pros earn the Microsoft Certified Azure qualification after successfully completing the Microsoft Azure Fundamentals exam. While this certification is not necessary to pursue more specialized Azure training but on the other h& it does provide essential knowledge & skills to streamline learning & completion.
PaaS is a computing platform that includes an operating system, programming language execution environment, database, or web services. Developers, as well as application providers, use this type of Azure service.
To attend the training session, you should have operational Desktops or Laptops with the required specification and a good internet connection to access the labs.
We would always recommend you attend the live session to practice & clarify the doubts instantly & get more value from your investment. However, if, due to some contingency, you have to skip the class, Radiant Techlearning will help you with the recorded session of that particular day. However, those recorded sessions are not meant only for personal consumption & NOT for distribution or commercial use.
Radiant Techlearning has a data center containing the Virtual Training environment for participants' h&-on-practice.
Participants can easily access these labs over Cloud with the help of a remote desktop connection.
Radiant virtual labs allow you to learn from anywhere in the world & in any time zone.
The learners will be enthralled as we engage them the real-world & industry Oriented projects during the training program. These projects will improve your skills & knowledge & you will gain a better experience. These real-time projects will help you a lot in your future tasks & assignments.