Multiple choice technology

Data Granularity in an Operational Data Store is

  1. Typically detailed data only, often resulting in very large data volumes

  2. Contains summarised and detailed data

  3. Contains Summarized data only

  4. None
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A Correct answer
Explanation

An Operational Data Store (ODS) contains detailed, current data drawn directly from operational systems, not summarized aggregates. This detailed granularity enables operational reporting and real-time analysis but results in large data volumes since no aggregation occurs.

AI explanation

To answer this question, you need to understand the concept of data granularity in an Operational Data Store (ODS).

Data granularity refers to the level of detail at which data is stored and managed in a database or data store. In an ODS, data granularity can vary depending on the specific requirements and purpose of the data store.

Option A) Typically detailed data only, often resulting in very large data volumes - This option is correct. In an ODS, the data granularity is typically at a detailed level, meaning that it contains individual records or transactions. This can result in large data volumes because every detail is captured and stored.

Option B) Contains summarized and detailed data - This option is incorrect. While an ODS may contain some summarized data, its primary focus is on storing and managing detailed data.

Option C) Contains summarized data only - This option is incorrect. An ODS is not limited to storing summarized data only. It also includes detailed data.

Option D) None - This option is incorrect. An ODS does have a data granularity, which is typically at a detailed level.

The correct answer is A) Typically detailed data only, often resulting in very large data volumes. This option is correct because an ODS primarily contains detailed data, resulting in large data volumes.

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