Introduction to Microsoft Azure Data Overview
In this course, participants will gain foundational knowledge of core data concepts and related Microsoft Azure data services. They 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. They will explore fundamental relational data concepts, relational database services in Azure, Azure storage for non-relational data and the fundamentals of Azure Cosmos DB. They will also learn about large-scale data warehousing, real-time analytics, and data visualization.
Audience Profile
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.
Course Syllabus
Module -1 Describe Core Date Concept
Describe ways to represent data
- Describe features of structured data
- Describe features of semi-structured
- Describe features of unstructured data
Identify options for data storage
- Describe common formats for data files
- Describe types of databases
Describe common data workloads
- Describe features of transactional workloads
- Describe features of analytical workloads
Identify roles and responsibilities for data workloads
- Describe responsibilities for database administrators
- Describe responsibilities for data engineers
- Describe responsibilities for data analysts
Module -2 Identify considerations for relational data on Azure
Describe relational concepts
- Identify features of relational data
- Describe normalization and why it is used
- Identify common structured query language (SQL) statements
- Identify common database objects
Describe relational Azure data services
- Describe the Azure SQL family of products including Azure SQL Database, Azure SQL Managed Instance, and SQL Server on Azure Virtual Machines
- Identify Azure database services for open-source database systems
Module -3 Describe considerations for working with non relational data on Azure
Describe capabilities of Azure storage
- Describe Azure Blob storage
- Describe Azure File storage
- Describe Azure Table storage
Describe capabilities and features of Azure Cosmos DB
- Identify use cases for Azure Cosmos DB
- Describe Azure Cosmos DB APIs
Module -4 Describe on Analytics worked on Azure
Describe common elements of large-scale analytics
- Describe considerations for data ingestion and processing
- Describe options for analytical data stores
- Describe Azure services for data warehousing, including Azure Synapse Analytics, Azure Databricks, Azure HDInsight, and Azure Data Factory
Describe consideration for real-time data analytics
- Describe the difference between batch and streaming data
- Describe technologies for real-time analytics including Azure Stream Analytics, Azure Synapse Data Explorer, and Spark Structured Streaming
Describe data visualization in Microsoft Power BI
- Identify capabilities of Power BI
- Describe features of data models in Power BI
- Identify appropriate visualizations for data
Fee: Rs 7,499 + 18% GST
100% subsidized cost for Naveen Jindal Foundation registered students
100% subsidized cost for Naveen Jindal Foundation registered students
