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module 3
  • Alyssa Laciste

  • 問題数 24 • 10/5/2024

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    問題一覧

  • 1

    It is a software system that manages and organizes data efficiently.

    database system

  • 2

    Structured data stored in tables.

    relational databases

  • 3

    Flexible, schema-less databases for unstructured data.

    non-relational databases

  • 4

    Visual representation of data structure and relationships

    entity-relationship diagrams

  • 5

    It is a facility that houses computer systems, telecommunications, and storage components.

    data center

  • 6

    It refers to the strategies and technologies used for analyzing business data to aid decision-making.

    business intelligence

  • 7

    Owned by a single organization.

    enterprise data centers

  • 8

    Rent space for servers.

    colocation data centers

  • 9

    Managed by cloud providers (e.g., AWS, Google Cloud, Azure).

    cloud data centers

  • 10

    Backup and replication to ensure data continuity.

    disaster recovery

  • 11

    Ability to increase or decrease computing resources as needed.

    scalability

  • 12

    Protection against cyberattacks and ensuring compliance with regulations.

    security

  • 13

    Central repository of integrated data from multiple sources.

    data warehousing

  • 14

    Process for gathering and cleaning data.

    ETL(extract, transform, load)

  • 15

    Software for data visualization and analysis (e.g., Power BI, Tableau).

    BI tools

  • 16

    Historical data analysis (What has happened?)

    descriptive analytics

  • 17

    Forecasting trends using statistical models (What might happen?).

    predictive analytics

  • 18

    Providing recommendations (What should we do?).

    prescriptive analytics

  • 19

    Tracking customer behavior, trends, and segmentation.

    sales and marketing analytics

  • 20

    Identifying inefficiencies in processes.

    operational efficiency

  • 21

    Predicting budget and revenue trends.

    financial forecasting

  • 22

    Difficulty in integrating data from various sources.

    data silos

  • 23

    Ensuring the accuracy and cleanliness of data.

    data quality

  • 24

    Organizational barriers to adopting new technologies.

    resistance to change