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Unit II - Data Storage and Cloud Computing

Overview

This unit delves into various data storage solutions and their management in the context of cloud computing. It discusses enterprise data storage technologies, cloud storage provisioning, and the use of grids for data storage.

Topics

  1. Introduction to Enterprise Data StorageIntroduction to Enterprise Data StorageSure, here is a draft of notes on the Introduction to Enterprise Data Storage, formatted as requested: Definition Enterprise Data Storage refers to the strategies, technologies, and infrastructure used by organizations to store, manage, and protect large volumes of data. This encompasses both on-premises storage solutions and cloud-based storage services, providing scalable, reliable, and secure data storage capabilities essential for business operations and decision-making. Key Concepts Sca
  2. Direct Attached StorageDirect Attached StorageDefinition Direct Attached Storage (DAS) is a type of digital storage directly connected to a computer or server without a network in between. It provides a straightforward, cost-effective storage solution, often used for individual servers or desktops where high-speed access to data is required without the complexities of networked storage. Key Concepts Connectivity**: DAS connects directly to a host computer via interfaces like SATA, SAS, USB, or Thunderbolt. Performance**: High data transf
  3. Storage Area NetworkStorage Area NetworkDefinition Storage Area Network (SAN) is a high-speed, specialized network that provides access to consolidated, block-level storage. SANs are designed to improve the performance, availability, and scalability of storage resources, making them ideal for enterprise environments with large-scale data storage needs. Key Concepts High-Speed Connectivity**: Utilizes Fibre Channel, iSCSI, or FCoE for high-speed data transfer. Centralized Storage**: Centralizes storage resources, making them accessi
  4. Network Attached StorageNetwork Attached StorageDefinition Network Attached Storage (NAS) is a file-level storage architecture that provides data access to multiple clients over a network. NAS devices are specialized file servers that offer centralized storage, enabling users to store and retrieve data from a single location via standard network protocols like TCP/IP. Key Concepts File-Level Storage**: Stores data as files within a hierarchical directory structure. Network Connectivity**: Connects to a network via Ethernet and is accessibl
  5. Data Storage ManagementData Storage ManagementDefinition Data Storage Management involves the processes, policies, and technologies used to manage, protect, and optimize the storage of data throughout its lifecycle. It encompasses activities like data backup, archiving, disaster recovery, data migration, and ensuring data availability, integrity, and security. Key Concepts Data Backup**: Regular copying of data to protect against loss or corruption. Data Archiving**: Moving infrequently accessed data to long-term storage. Disaster Recove
  6. File SystemFile SystemDefinition File System is a method and data structure that an operating system uses to manage files on a disk or partition. It controls how data is stored, retrieved, and organized on storage devices, ensuring data integrity and efficient access. Key Concepts Hierarchical Structure**: Organizes files in directories (folders) in a tree-like structure. File Naming**: Rules and conventions for naming files, including extensions. Metadata**: Information about files such as size, creation date, pe
  7. Cloud Data StoresCloud Data StoresDefinition Cloud Data Stores are managed data storage services provided by cloud service providers. These services offer scalable, reliable, and secure storage solutions that can handle various data types, including structured, semi-structured, and unstructured data. Cloud data stores enable organizations to store and access data over the internet without managing the underlying infrastructure. Key Concepts Scalability**: Dynamic scaling to handle increasing or decreasing data volumes. Reliab
  8. Using Grids for Data StorageUsing Grids for Data StorageDefinition Grid Storage refers to a distributed data storage system that leverages a network of interconnected resources to store and manage large volumes of data. Grid storage combines the processing power and storage capacity of multiple nodes (servers or computers) to create a unified system, providing high availability, scalability, and performance for data-intensive applications. Key Concepts Distributed Architecture**: Data and processing are distributed across multiple nodes. Scalabili
  9. Cloud Storage - Data Management, Provisioning Cloud StorageCloud Storage - Data Management, Provisioning Cloud StorageDefinition Cloud Storage refers to a service model in which data is maintained, managed, backed up remotely, and made available to users over a network (typically the internet). Data Management in Cloud Storage involves the processes and technologies used to handle data lifecycle management, including storage provisioning, organization, protection, and retrieval within a cloud environment. Key Concepts Data Lifecycle Management**: Managing data from creation to deletion. Provisioning**: Alloc
  10. Data Intensive Technologies for Cloud ComputingData Intensive Technologies for Cloud ComputingDefinition Data Intensive Technologies for Cloud Computing refer to the tools, frameworks, and architectures designed to process and manage large volumes of data in cloud environments. These technologies enable efficient data storage, processing, analysis, and retrieval, leveraging the scalability, flexibility, and power of cloud computing. Key Concepts Big Data**: Large, complex data sets that require advanced methods for storage, processing, and analysis. Distributed Computing**: Using mult
  11. Cloud Storage from LANs to WANsCloud Storage from LANs to WANsDefinition Cloud Storage refers to a model where data is stored on remote servers accessed via the internet, managed by a cloud service provider. Transitioning cloud storage from Local Area Networks (LANs) to Wide Area Networks (WANs) involves extending storage capabilities and accessibility beyond local environments to geographically dispersed locations over a broader network. Key Concepts Local Area Network (LAN)**: A network that connects devices within a limited area such as a home, schoo
  12. Distributed Data StorageDistributed Data StorageDefinition Distributed Data Storage refers to a data storage system where data is stored across multiple physical locations, typically spanning multiple servers, data centers, or geographic regions. This architecture enhances data availability, fault tolerance, scalability, and performance by distributing the data load across various nodes. Key Concepts Data Distribution**: The method of spreading data across multiple storage nodes. Fault Tolerance**: The ability of a system to continue funct

Additional Resources

Summary

  • Enterprise Data Storage: Encompasses methods for storing, managing, and accessing large volumes of data, including DAS, SAN, and NAS.
  • Direct Attached Storage (DAS): Directly connected to the computer that uses it.
  • Storage Area Network (SAN): Provides block-level storage accessible over a network.
  • Network Attached Storage (NAS): Provides file-level storage accessible over a network.
  • Data Storage Management: Involves processes for ensuring data availability, reliability, and security.
  • File System: Manages how data is stored and retrieved on a storage device.
  • Cloud Data Stores: Scalable and distributed storage solutions in the cloud.
  • Using Grids for Data Storage: Combines resources from multiple locations to achieve a common goal.
  • Cloud Storage:
    • Data Management: Involves policies, procedures, and tools for managing data in the cloud.
    • Provisioning Cloud Storage: Allocating and managing cloud storage resources.
    • Data Intensive Technologies: Technologies like Hadoop and NoSQL databases used for handling large datasets.
  • Distributed Data Storage: Ensures data redundancy and availability across multiple locations.

Questions

  • Key questions and discussion points.