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Azure Data Fundamentals Certification with an Extra Boost Course.

Empower Your Cloud Journey with Azure Excellence.

Dynamic Online Learning with Virejetech Certified Instructors.
Interactive Skill-building and Educational Assistance
Interview Readiness Guide + Mock Sessions
Placement Assistance Guide

Holistic Learning Pathway

"Advance your career with our holistic App Development Program, meticulously designed to cultivate the skills of a modern app developer. This sought-after course covers key modules, including App Development Foundations and Techniques, providing extensive exposure to diverse domains. Empower yourself with cutting-edge tools for Visualization and Insights, ensuring a well-rounded skill set in the dynamic field of app development."

25 hrs

Learning content

Azure Data Fundamentals

1. Understand core data concepts

2 Quizzes

1 Project

1.1 Explain the concepts of data types
Understanding cloud computing involves recognizing its on-demand nature, broad network access, resource pooling, rapid elasticity, measured service, service models (IaaS, PaaS, SaaS),
1.2 Define data ingestion and data processing.
Cloud services provide scalability, cost efficiency, and global accessibility but require careful consideration of security, privacy, compliance, and strategic planning for optimal utilization.
1.3 Describe data storage and data analysis
IaaS provides virtualized infrastructure, PaaS offers a development platform, and SaaS delivers fully functional applications over the internet
1.4 Explain data visualization and data reporting
Understanding cloud computing involves recognizing its on-demand nature, broad network access, resource pooling, rapid elasticity, measured service, service models (IaaS, PaaS, SaaS),

2. Understand how data is stored and processed in Azure

2.1 Describe Azure data storage options (e.g., Azure SQL Database, Azure Cosmos DB, Azure Blob Storage).
Core Azure services and solutions encompass a wide range of offerings, including computing (Azure Virtual Machines), storage (Azure Blob Storage), databases (Azure SQL Database)
2.2 Explain Azure data processing solutions (e.g., Azure Data Factory, Azure Databricks, Azure Stream Analytics)
Azure regions are geographically distributed datacenter locations, and availability zones are physically separate datacenters within a region, both contributing to Microsoft Azure
2.3 Compare Azure data services for different data scenarios
Azure Resource Manager (ARM) is Microsoft Azure's infrastructure orchestration service, allowing users to deploy and manage resources through templates

3.Explore relational data offerings in Azure

3.1 Introduction to Azure SQL Database
Azure Pricing: Microsoft Azure employs a pay-as-you-go model, with costs based on actual usage of resources, offering flexibility and scalability
3.2 Provisioning and managing Azure SQL Databases
Azure Service Level Agreements (SLAs) define the guaranteed levels of service in terms of uptime and performance for various Azure services
3.3 Scaling and performance options in Azure SQL Database
Azure Service Level Agreements (SLAs) define the guaranteed levels of service in terms of uptime and performance for various Azure services. SLAs are commitments made by Microsoft to customers

4. Query relational data in Azure

4.1 Writing basic SQL queries
4.2 Querying data using T-SQL
4.3 Query optimization in Azure SQL Database

4. Explore Azure Synapse Analytics

4.1 Introduction to Azure Synapse Analytics
Azure Active Directory (Azure AD) is Microsoft's cloud-based identity and access management service.
4.2 Data warehousing concepts
Azure Multi-Factor Authentication (MFA) enhances security by requiring users to verify their identity through multiple authentication methods, providing an additional layer of protection for Azure resources.
4.3 Data loading and querying in Azure Synapse Analytics
Azure Security Center is a unified security management system that provides advanced threat protection across Azure and hybrid cloud workloads, while Azure Key Vault is a secure,

5. Explore non-relational data offerings in Azure

5.1 Introduction to Azure Cosmos DB
Azure offers a diverse range of solutions and management tools for building, deploying, and managing applications and services in the cloud
5.2 Key-value, document, column-family, and graph data models
Azure solutions, ranging from Virtual Machines to Azure Cognitive Services, address diverse use cases such as scalable application hosting,.
5.3 Provisioning and managing Azure Cosmos DB databases
Azure Marketplace is an online store that allows users to discover, purchase, and deploy third-party applications and services,

6. Work with data in Azure Cosmos DB

6.1 Creating and querying documents in Azure Cosmos DB
Azure management tools, such as Azure PowerShell and Azure CLI, facilitate command-line and scripting interactions with Azure resources, enabling efficient provisioning, configuration
6.2 Partitioning and scaling in Azure Cosmos DB
Azure Monitor is a comprehensive monitoring solution that provides insights into the performance and health of applications and resources in Azure,
6.3 Consistency levels and global distribution
Log Analytics is a tool in Azure Monitor that collects and analyzes telemetry data from various sources to provide insights into the performance and health of applications and infrastructure,

7. Explore analytics and AI solutions in Azure

7.1 Introduction to Azure Data Lake Storage.
Migrating to Azure involves various methods and tools, including Azure Migrate for assessing on-premises workloads, Azure Site Recovery for replicating and orchestrating failover of virtual machines
7.2 Azure HDInsight for big data processing
Azure Monitor is a comprehensive monitoring solution that provides insights into the performance and health of applications and resources in Azure,
7.3 Azure Machine Learning for AI and ML workloads
Azure Data Box is a physical device designed for securely transferring large volumes of data to Azure, facilitating offline data transfer.

8. Process and analyze data using Azure

8.1 Data transformation using Azure Data Factory
Azure Active Directory (Azure AD) is Microsoft's cloud-based identity and access management service.
8.2 Data analytics with Azure Databricks
Azure Multi-Factor Authentication (MFA) enhances security by requiring users to verify their identity through multiple authentication methods, providing an additional layer of protection for Azure resources.
8.3 Real-time analytics with Azure Stream Analytics
Azure Security Center is a unified security management system that provides advanced threat protection across Azure and hybrid cloud workloads, while Azure Key Vault is a secure,

9. Explore data integration and migration services

9.1 Azure Data Factory for data integration
Azure management tools, such as Azure PowerShell and Azure CLI, facilitate command-line and scripting interactions with Azure resources, enabling efficient provisioning, configuration
9.2 Azure Database Migration Service for data migration
Azure Monitor is a comprehensive monitoring solution that provides insights into the performance and health of applications and resources in Azure,
10.1 Data encryption and access control
Log Analytics is a tool in Azure Monitor that collects and analyzes telemetry data from various sources to provide insights into the performance and health of applications and infrastructure,