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Questions and Answers
What major technological advancement characterized the 1990s?
What major technological advancement characterized the 1990s?
Which database technology emerged in the early 2000s as a significant trend?
Which database technology emerged in the early 2000s as a significant trend?
What does the term 'metadata' refer to in the context of databases?
What does the term 'metadata' refer to in the context of databases?
Which of the following statements about the 2000s is true?
Which of the following statements about the 2000s is true?
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What does 24×7 availability mean in the context of database systems?
What does 24×7 availability mean in the context of database systems?
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Study Notes
The 1990s
- The 1990s saw the explosive growth of the World Wide Web.
- Databases were deployed more extensively than ever before.
- Database systems were required to support very high transaction-processing rates.
- Database systems needed to support very high reliability and 24/7 availability.
- Database systems also had to support Web interfaces to data.
The 2000s
- XML and the associated XQuery emerged as a new database technology.
- XML is used for data exchange and storing complex data types.
- Relational databases remain at the core of most large-scale database applications.
- "Autonomic computing/auto-admin" techniques gained traction to reduce system administration effort.
- Open-source database systems, like PostgreSQL and MySQL, saw significant growth in usage.
Basic Concepts and Definitions
- Data is raw, unprocessed information stored in a computer media.
- Information is derived from analyzing data.
- Metadata describes the properties and context of data.
- Metadata typically includes data names, definitions, length, and allowable values.
- Metadata is also known as "data about data".
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Description
This quiz explores key developments in database technology during the 1990s and 2000s, including the rise of the World Wide Web, XML, and open-source databases. Understanding these changes is crucial for grasping modern data management practices.