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Transcript
+
A brief history of data and
databases
Spanning thousands and thousands of years
Unattributed pictures from University of Rochester History Site
+
Housekeeping

HW3 – Grading contract – due before class on Tuesday

Teams – Tuesday


Some have indicated that they prefer to work alone. See me if you
feel strongly and come prepared with a reason why.
Project – A couple of people had ideas for alternate projects.

Lewis

Hull

See me after class
+
References for this talk

University of Rochester History Site

http://quickbase.intuit.com/articles/timeline-of-databasehistory

http://www.computerhistory.org/revolution/memorystorage/8/265/2207 - Video
+
Record Keeping – How long?
Source: http://www.ancientscripts.com/cuneiform.html
picture – wikipedia 4th millenium
+
Record Keeping – How long?
3100 BC
pictures of
goods and
then cuniform
symbols.
Source: http://www.ancientscripts.com/cuneiform.html
picture – wikipedia 4th millenium
+
Why?

We use records to measure “stuff”.

And most of these records are not digital.
+
Jacquard Loom
Marriage book, Rochester, NY, chronological filing of marriage
licenses.
From ancestry.com (1790 census,
Pittsford, NY)
+
Other non-electronic records

SS cards – 35 million hand typed between 1937-1938

Motor vehicle licenses and registrations

Financial records for companies

School records
+ Card Catalogs – An ingeneous
indexing system
+
•It didn’t indicate whether the book was available, just where it should be
found.(example cards)
•Creating the cards required the expertise of librarians.
+
Problem – The 1890 census

Enter Herman Hollerith.
+
Hollerith’s device
pantograph
Hollerith card
Integrating
machine
+
First computers
The program, the data, the JCL – all done with punchcards
+
Electronic files – Early computing
1950s – 1970s
+
Enter the database – Early 1960s
•
Objects in a database can be related to one another.
•
Hierarchical – One record leads to the related record. (Like a
tree)
•
Network – Allowed for multiple relationships (like a network)
•
The databases used pointers to relate one record to another.
+
Charles Bachman
Integrated data store – Dow Chemical
CASE products (Computer Aided Engineering)
+
Some issues

While an improvement over file based systems,

these systems required knowledge of the structures to use
them. No built in search mechanism.

Very few users understood the structures, access limited to
an elite few.

Queries were complex. Took time to get new information and
expensive programmer time to produce.
+
Enter the relational DBMS
1970, Edgar Codd
Relational DBMS
• Mathematician at IBM
• Based on Relational Calculus and set theory
U of Michigam
• MicroDBMS
IBM
• System R
• First implementation of SQL
Led to
• Oracle
• IBM DB2
•Informix
• Sybase
• MS SQL Server (based on Sybase)
+
Relational Ideas

Data is represented as a series of tables.

The tables are Related to one another through a series of
keys and foreign keys.

A standard language is used to define the database (DDL)
and to query the database (DML).

Tables within the database contain the data about the
database (meta data).
+
Why relational?

It is easy for most people to “see” and “get it”.

Makes the data accessible for a wider number of users
through user friendly query tools.

Through good database design, space usage is efficient
(although this has become less of an issue of late).
+
Codd’s 12 Rules

See notes.
+
The Future?
•
Object Oriented Databases
–
Combine data and operations on those data
–
Allows for inheritance
–
Oracle (Object-Relational Database)
–
Postgre(open source object-relational DBMS)
–
•
http://www.postgresql.org/about/
XML and XML DBMS
–
XML designed to transport and store data initially envisioned as
moving data across the web (w3schools.com)
–
XML Database Management System manages that data
+
Next up – modeling data and
relational DBMS terms

A few words about data models.

Activity – Let’s look again at the “ugly” database.