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Google Cloud offers a wide range of cloud computing services and products that cater to various business needs. These services can be categorized into multiple domains, including computing, storage, databases, machine learning, networking, analytics, security, and more. Here's an overview of what...
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Google Cloud offers a wide range of cloud computing services and products that cater to various business needs. These services can be categorized into multiple domains, including computing, storage, databases, machine learning, networking, analytics, security, and more. Here's an overview of what Google Cloud can do:

  1. Compute Services:

    • Compute Engine: Provides virtual machines (VMs) for running applications.
    • App Engine: A fully managed platform for building, deploying, and scaling applications.
    • Kubernetes Engine: A managed Kubernetes service for containerized applications.
  2. Storage and Databases:

    • Cloud Storage: Object storage service for storing and retrieving data.
    • Cloud SQL: Managed relational database service supporting MySQL, PostgreSQL, and SQL Server.
    • Cloud Bigtable: A fully managed, scalable NoSQL database service.
    • Firestore: A NoSQL document database for mobile, web, and server applications.
  3. Networking:

    • Virtual Private Cloud (VPC): Allows users to create their own isolated network environments.
    • Cloud Load Balancing: Distributes incoming network traffic across multiple instances.
    • Cloud CDN: Content Delivery Network for delivering content quickly and securely.
  4. Machine Learning and AI:

    • AI Platform: Allows users to build, deploy, and manage machine learning models.
    • Vision AI, Video AI, Natural Language AI: Pre-trained machine learning models for specific tasks.
    • AutoML: Provides tools for users to build custom machine learning models with minimal expertise.
  5. Big Data and Analytics:

    • BigQuery: Serverless, highly scalable, and cost-effective multi-cloud data warehouse.
    • Dataflow: Fully managed stream and batch processing for big data.
    • Dataproc: Managed Apache Spark and Apache Hadoop service.
  6. Development Tools:

    • Cloud SDK: Command-line tools for interacting with Google Cloud services.
    • Cloud Build: Fully managed continuous integration and continuous delivery (CI/CD) platform.
  7. Identity and Security:

    • Identity and Access Management (IAM): Manages access to Google Cloud resources.
    • Security Command Center: A security and risk management platform.
  8. IoT (Internet of Things):

    • Cloud IoT Core: Allows users to securely connect and manage IoT devices.
  9. Serverless Computing:

    • Cloud Functions: Executes functions in response to events without provisioning or managing servers.
  10. APIs and Services:

    • Cloud Endpoints: Develop, deploy, and manage APIs.
    • Dialogflow: A natural language understanding platform for building conversational interfaces.
  11. Quantum Computing:

    • Quantum Computing: Google Cloud is also involved in quantum computing research and offers access to quantum processors through the Quantum AI service.

Google Cloud provides a robust and scalable infrastructure, allowing businesses to build, deploy, and scale applications efficiently. The platform is known for its innovation in areas such as machine learning and data analytics. Keep in mind that the features and services offered by Google Cloud may evolve over time, so it's advisable to refer to the official documentation for the latest information.

 
 
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Function Type Service Name Object Storage Cloud Storage Relational DB Cloud SQL(<30TB)/Cloud Spanner(>30TB) Relational DW Bigquery NoSQL...
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