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Cloud Services

Curriculum

  • 3 Sections
  • 38 Lessons
  • 6 Weeks
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  • Amazon Web Services (AWS)
    Amazon Web Services (AWS) is a comprehensive and widely used cloud computing platform provided by Amazon.com. It offers a broad range of cloud services, including computing power, storage options, networking capabilities, databases, machine learning, artificial intelligence, analytics, security, and more.
    8
    • 1.1
      Compute Services (EC2): Your First Virtual Server
      45 Minutes
    • 1.2
      Storage Services (S3)
      35 Minutes
    • 1.3
      Database Services
      40 Minutes
    • 1.4
      Networking Services
      40 Minutes
    • 1.5
      Machine Learning and AI Services
      60 Minutes
    • 1.6
      AWS Analytics Services: Unlocking Data Insights
      45 Minutes
    • 1.7
      Security and Identity Services
      50 Minutes
    • 1.8
      Developer Tools
      120 Minutes
  • Azure Cloud Services
    Azure, Microsoft's cloud computing platform, offers a wide range of services for building, deploying, and managing applications and services through Microsoft-managed data centers.
    18
    • 2.1
      Mastering Azure Compute Services: Your Cloud Application Engine
      40 Minutes
    • 2.2
      Networking Services
      120 Minutes
    • 2.3
      Networking Services
    • 2.4
      SQL Database
      60 Minutes
    • 2.5
      Storage Services
      40 Minutes
    • 2.6
      Database Services
      120 Minutes
    • 2.7
      Identity and Access Management
      120 Minutes
    • 2.8
      Security Services
      60 Minutes
    • 2.9
      Monitoring and Management
      80 Minutes
    • 2.10
      Development Tools
      50 Minutes
    • 2.11
      Azure AI & Machine Learning: Empowering Your Full-Stack Applications
      140 Minutes
    • 2.12
      Internet of Things (IoT)
      100 Minutes
    • 2.13
      Unlocking Insights: Analytics and Big Data in Azure
      120 Minutes
    • 2.14
      Developer Tools
      50 Minutes
    • 2.15
      Containers and Serverless Computing: Modernizing Your Azure Applications
      120 Minutes
    • 2.16
      Web and Mobile Services
      60 Minutes
    • 2.17
      Enterprise Integration
      100 Minutes
    • 2.18
      Blockchain Services on Azure: Building Decentralized Solutions
      140 Minutes
  • Google Cloud Platform (GCP)
    Google Cloud Platform (GCP) is a suite of cloud computing services offered by Google, covering various computing resources such as compute power, storage, databases, machine learning, networking, and more. GCP provides businesses and developers with a range of tools and services to build, deploy, and manage applications and services on Google's infrastructure.
    12
    • 3.1
      Compute Services in Google Cloud Platform
      40 Minutes
    • 3.2
      Mastering Container Services on Google Cloud Platform (GCP)
      100 Minutes
    • 3.3
      Serverless Computing
      120 Minutes
    • 3.4
      Storage Services
      90 Minutes
    • 3.5
      Networking Services
      110 Minutes
    • 3.6
      GCP Big Data & Analytics Services: Unlocking Data Insights
      85 Minutes
    • 3.7
      Machine Learning and AI Services
      145 Minutes
    • 3.8
      Developer Tools
      120 Minutes
    • 3.9
      Identity and Access Management
      140 Minutes
    • 3.10
      Security Services
      150 Minutes
    • 3.11
      Internet of Things (IoT) Services
      120 Minutes
    • 3.12
      Monitoring and Management
      60 Minutes

SQL Database

Azure SQL Database is a fully managed relational database service provided by Microsoft Azure. It offers a range of features and capabilities designed to simplify database management, improve scalability, and enhance performance. Here’s an overview of Azure SQL Database:

  1. Fully Managed Service:
    • Azure SQL Database is a fully managed service, meaning Microsoft handles the infrastructure management, including backups, patching, and high availability, allowing users to focus on application development and data management.
  2. Relational Database Engine:
    • Azure SQL Database is built on the SQL Server database engine, providing full compatibility with Transact-SQL (T-SQL), stored procedures, triggers, functions, and other SQL Server features, ensuring seamless migration of existing applications and workloads.
  3. Scalability and Performance:
    • Azure SQL Database offers built-in scalability features, including auto-scaling, elastic pools, and Hyperscale, allowing users to scale resources up or down based on demand and handle varying workload requirements efficiently. Additionally, it provides performance optimization features such as intelligent performance tuning, query performance insights, and automatic indexing.
  4. High Availability and Disaster Recovery:
    • Azure SQL Database ensures high availability and business continuity with built-in features such as automatic backups, geo-replication, and failover capabilities. Users can replicate databases across Azure regions for disaster recovery purposes and achieve near-zero downtime for critical applications.
  5. Security and Compliance:
    • Azure SQL Database provides robust security features, including data encryption at rest and in transit, threat detection, vulnerability assessment, role-based access control (RBAC), and dynamic data masking, ensuring data privacy and compliance with industry regulations (e.g., GDPR, HIPAA).
  6. Advanced Data Services:
    • Azure SQL Database offers advanced data services such as built-in machine learning capabilities for predictive analytics, support for graph data processing with Azure Cosmos DB’s Gremlin API, and integration with Azure Data Factory for data integration and orchestration.
  7. Integration with Azure Services:
    • Azure SQL Database seamlessly integrates with other Azure services, including Azure Active Directory (AAD) for authentication and access control, Azure Monitor for performance monitoring and diagnostics, Azure DevOps for continuous integration and delivery (CI/CD), and Azure Data Studio for database development and administration.
  8. Cost-Effective Pricing Models:
    • Azure SQL Database offers flexible pricing models, including provisioned compute resources (e.g., vCore-based pricing) and serverless compute (e.g., Azure SQL Database Serverless), allowing users to pay only for the resources they consume and optimize costs based on workload patterns.

Overall, Azure SQL Database empowers organizations to build modern, scalable, and secure cloud-native applications with enterprise-grade database capabilities, enabling them to innovate faster, drive business insights, and deliver exceptional user experiences.

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