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Explain the differences between structured data and unstructured data.
Structured data are facts concerning objects and events. The most significant structured data are numeric, character, and dates. Structured data are kept in tabular form. Unstructured data are multimedia data like documents, photographs, maps, images, sound, and video clips. Unstructured data are most usually found on Web servers and Web-enabled databases.
Explain what is Aggregation ? Aggregation: This is used whenever we intend to show a relationship between an entity and the relationship. There is no provision for this in th
What is the main advantage of the object model? What are its different components? The object model focuses on the logical data structures. Each object model comprises of many
Determine the Other System Design Issue How to realise subsystems; through hardware or software? How is object model mapped on chosen hardware software? Mapping
What is the use of with clause in SQL? The with clause gives a way of defining a temporary view whose explanation is available only to the query in which the with clause occurs
In object oriented design, which steps must designer take to adjust inheritance? To readjust inheritance following steps should be taken: i) Rearrange and adjust the classe
What are the advantages of embedded query language? Give an example of an embedded SQL query. Embedded query language - SQL could be implemented within two ways. It can be us
Draw and explain the three level architecture of the database system? A DBMS gives three levels of data is said to follow three-level architecture. The trget of the three-schem
What is the difference among a database schema and a database state? The collection of information stored in database at particular moment in time is known as database state a
What is an entity relationship model? The entity relationship model is a collection of basic objects known as entities and relationship between those objects. An
Compare three clustering algorithms in Weka. For this comparison, you will need to use at least two different datasets. Run the algorithms on the datasets, and use the visual
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