$1,000.00
• Duration: 1 Day
• Mode of Delivery: Online -Instructor-led training
• Job role: Azure Data Scientists, Data architects
• Preparation for exam: DP-900
• Cost: USD$1,000.00
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.
20 in stock
The audience for this course is individuals who want to 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
Prerequisite certification is not required before taking this course. Successful Azure Data Fundamentals students start with some basic awareness 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 tables of data in a spreadsheet and visualizing data using charts.
• A willingness to learn through hands-on exploration
After completing this course, partcipants will be able to:
• Describe core data concepts
• Describe how to work with relational data on Azure
• Describe how to work with non-relational data on Azure
• Describe an analytics workload on Azure
Module 1: Explore core data concepts
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
Module 2: Explore relational data 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 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 services in Azure
• Explore provisioning and deploying relational database services in Azure
• Query relational data in Azure
After completing this module, students will be able to:
• Describe relational data services on Azure
• Explain provisioning and deploying relational databases on Azure
• Query relational data through cloud data solutions in Azure
Module 3: Explore non-relational data 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 services, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure.
Lessons
• Explore non-relational data services 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 services on Azure
• Explain provisioning and deploying non-relational databases on Azure
• Describe non-relational data stores on Azure
Module 4: Explore modern data warehouse analytics 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 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
Click on the following link to see the current Course Schedule
Our minimum class-size is 3 for this course.
If there are no scheduled dates for this course, it can be customized to suit the time and skill needs of clients and it can be held online, at a rented location or at your premises.
Click on the following link below to arrange for a custom course: Enquire about a course date
The term “cloud” implies the service that you can access through the internet and the software and database that run on these servers. By using the cloud, users can access the files and applications using any device since the computing and storage on the server takes place in a data center instead of a locally installed user device. Cloud Computing is the way to deliver various computing services that include servers, storage, database, networking, software, analytics, and intelligence over internet connectivity. This internet connectivity provides innovation, flexible resources, and scalability. Azure is one of the largest public cloud computing providers for services such as virtual machines (VMs), containers, serverless computing, and machine learning. Azure has more than 100 services, grouped in families of related services such as compute, web + mobile, containers, and identity. With all these services, Azure covers many service models. We won’t cover all of Azure services in this course, but you’re going to learn about the core services and features that cover most of what you need to start building and running solutions in Azure.
The IT industry is in a bit of a transition period when it comes to job titles. You may refer to yourself as an IT pro, a software developer, a system administrator, or a DevOps engineer. Regardless of what you call yourself, if you want to learn the core skills needed to build and run secure, highly available applications in the cloud, you’re in the right place. In generic terms, you probably fall on the IT operations or development side of things. The truth is, there’s a lot of crossovers, especially in cloud computing. Whether you’re in development or operations, it’s important to understand the core infrastructure and platform services to build and run applications that best serve your customers
CANCELLATION POLICY – There is never a fee for cancelling seven business days before a class for any reason. Data Vision Systems reserves the right to cancel any course due to insufficient registration or other extenuating circumstances. Participants will be advised prior to doing so.
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