Databases

Database Processing: Fundamentals, Design, and by David M. Kroenke, David J. Auer

By David M. Kroenke, David J. Auer

Get scholars directly to the purpose of database processing. Database Processing displays a brand new educating approach that will get scholars instantly to the purpose with its thorough and glossy presentation of database processing fundamentals.

The 13th variation has been completely up to date to mirror the most recent software program.

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Extra resources for Database Processing: Fundamentals, Design, and Implementation (13th Edition)

Sample text

44-megabyte floppy disk (which is now itself a limited-use technology) has more capacity than many disks of that era. Memory was expensive as well. In 1969, we were processing payroll on a computer that had just 32,000 bytes of memory, while the computer on which this history is being written has 8 gigabytes of memory. Integrated processing was an important but very difficult problem. An insurance company, for example, wanted to relate customer account data to customer claim data. Accounts were stored on one magnetic tape, and claims were stored on another.

Early database 1970–1980 ADABAS, System2000, Total, IDMS, IMS First products to provide related tables. CODASYL DBTG and hierarchical data models (DL/I) were prevalent. Emergence of relational model 1978–1985 DB2, Oracle Early relational DBMS products had substantial inertia to overcome. In time, the advantages weighed out. Microcomputer DBMS products 1982–1992+ dBase-II, R:base, Paradox, Access Amazing! A database on a micro. All micro DBMS products were eliminated by Microsoft Access in the early 1990s.

44-megabyte floppy disk (which is now itself a limited-use technology) has more capacity than many disks of that era. Memory was expensive as well. In 1969, we were processing payroll on a computer that had just 32,000 bytes of memory, while the computer on which this history is being written has 8 gigabytes of memory. Integrated processing was an important but very difficult problem. An insurance company, for example, wanted to relate customer account data to customer claim data. Accounts were stored on one magnetic tape, and claims were stored on another.

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