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Mindmap

Data Management

hiey nguyen Englisch

Inhalt der Mindmap

Data Management

  1. Lecture Learning Objectives

    • Objectives
      • Understand the advantages of a database management.
      • Understand the basic approach to managing the data resources of a business
    • Outcomes
      • Be able to explain data management principles.
      • Demonstrate knowledge of a database systems.
      • Be able to explain how database management software can help business operations.
      • Be able to describe the different between database, data warehouse and data mining.
  2. The Context of Information Technology

    • Information Technology promotes efficiency and speed by enabling information sharing across the organization, and by removing unnecessary communication and duplication of data.
  3. Information Systems Management

    • Management needs information to make a decision. The basic element of all information is the data. The company must collect data from multiple sources (internal and external) and transform it into useful information.
    • Information must be analyzed and presented to decision makers in a format that is relevant to their specific functions.
  4. Traditional Files vs. Database

    • Traditional Files vs. Database-1
      • Before the invention of the computer, files and records were kept as paper documents and stored in several file cabinets.
      • problems
        • Data redundancy
        • Data inconsistency
        • Data isolation
        • Data integrity
        • Security
    • Traditional File vs. Database -2
      • The use of computers, especially databases, helps organize files and records, and computing storage updates and retrieval are much easier.
      • Benefits
        • Minimal data redundancy
        • Data consistency
        • Integration of data
        • Sharing of data
        • Data independence
        • Uniform security, privacy and integrity
  5. Database

    • Database (DB) is an integrated collection of logically related data elements.
    • A collection of information organized in such a way that a software application can quickly select desired pieces of data.
    • Most databases are organized by fields, records, and files. A field is a single piece of information. A record is one complete set of fields. A file is a collection of records.
    • To access information from a database, you need a Database management system (DBMS). This is a collection of programs that enable you to enter, organize, and select data in a database.
  6. Big Data – 5 V

    • Value: refers to our ability turn our data into value.
    • Volume: refers to the vast amount of data generated every second.
    • Variety: refers to the different types of data we can now use.
    • Veracity: refers to the messiness or trustworthiness of the data.
    • Velocity: refers to the speed at which new data is generated and the speed at which data moves around

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Beschreibung
Mindmap am Data Management, erstellt von hiey nguyen am 22/09/2015.
Erstellt von
hiey nguyen
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