SlideShare a Scribd company logo
WHAT IS A
DATABASE (1996)
Selena Sol presents…..
selena@selenasol.com
http://www.linkedin.com/pub/eric-tachibana/0/33/b53
http://www.slideshare.net/selenasol
for non techies…
Once upon a time, in the primitive and barbarian days before computers, the amount of
information shepherded by a group of people could be collected in the wisdom and the
stories of its older members. In this world, storytellers, magicians, and grandparents were
considered great and honored storehouses for all that was known.
Apparently, and according to vast archeological data, campfires were used (like
command-line middleware) by the younger members of the community to access
the information stored in the minds of the elders using API's such as
public String TellUsAboutTheTimeWhen(String s);.
And then of course, like a sweeping and rapidly-encompassing viral infection, came
agriculture, over-production of foodstuffs, and the origins of modern-day commerce.
Dealing with vast storehouses of wheat, rice, and maize became quite a chore for the
monarchs and emperors that developed along with the new economy. There was simply
too much data to be managed in the minds of the elders (who by now were feeling the
effects of hardware obsolescence as they were being pushed quietly into the
background).
And so, in order to store all the new information, humanity invented the technology of
writing. And though great scholars like Aristotle warned that the invention of the alphabet
would lead to the subtle but total demise of the creativity and sensibility of humanity, data
began to be stored in voluminous data repositories, called books.
As we know, eventually books copulated with great speed and soon, whole communities
of books migrated to the first real "databases", libraries.
Unlike previous versions of data warehouses (people and books), that might be
considered the australopithecines of the database lineage, libraries crossed over into the
modern-day species, though they were incredibly primitive of course.
Specifically, libraries introduced "standards" by which data could be stored and retrieved.
After all, without standards for accessing data, libraries would be like my closet, endless
and engulfing swarms of chaos. Books, and the data within books, had to be quickly
accessible by anyone if they were to be useful.
In fact, the usefulness of a library, or any base of data, is proportional to its data storage
and retrieval efficiency. This one corollary would drive the evolution of databases over the
next 2000 years to its current state.
Thus, early librarians defined standardized filing and retrieval protocols. Perhaps, if you
have ever made it off the web, you will have seen an old library with its cute little indexing
system (card catalog) and pointers (dewy decimal system).
And for the next couple thousand years libraries grew, and grew, and grew along with
associated storage/retrieval technologies such as the filing cabinet, colored tabs, and
three ring binders.
All this until one day about half a century ago, some really bright folks including Alan
Turing, working for the British government were asked to invent an advanced tool for
breaking German cryptographic "Enigma" codes. At the same time, another group of
really bright IBM engineers were working with the Nazi’s to efficiently manage Holocaust
prisoner data.
That day the world changed again. That day the computer was born.
The computer was an intensely revolutionary technology of course, but as with any
technology, people took it and applied it to old problems instead of using it to its
revolutionary potential.
Almost instantly, the computer was applied to the age-old problem of information storage
and retrieval. After all, by World War Two, information was already accumulating at rates
beyond the space available in publicly supported libraries. And besides, it seemed
somehow cheap and tawdry to store the entire archives of "The Three Stooges" in the
Library of Congress. Information was seeping out of every crack and pore of modern day
society.
Thus, the first attempts at information storage and retrieval followed traditional lines and
metaphors. The first systems were based on discrete files in a virtual library. In this file-
oriented system, a bunch of files would be stored on a computer and could be accessed
by a computer operator. Files of archived data were called "tables" because they looked
like tables used in traditional file keeping. Rows in the table were called "records" and
columns were called "fields".
Consider the following example:
The "flat file" system was a start. However, it was seriously inefficient.
Essentially, in order to find a record, someone would have to read through the entire file
and hope it was not the last record. With a hundred thousands records, you can imagine
the dilemma.
What was needed, computer scientists thought (using existing metaphors again) was a
card catalog, a means to achieve random access processing, that is the ability to
efficiently access a single record without searching the entire file to find it.
The result was the indexed file-oriented system in which a single index file stored "key"
words and pointers to records that were stored elsewhere. This made retrieval much
more efficient. It worked just like a card catalog in a library. To find data, one needed only
search for keys rather than reading entire records.
First Name Last Name Email Phone
Eric Tachibana erict@eff.org 213-456-0987
Selena Sol selena@eff.org 987-765-4321
Li Hsien Lim hsien@somedomain.com 65-777-9876
However, even with the benefits of indexing, the file-oriented system still suffered from
problems including:
• Data Redundancy - the same data might be stored in different places
• Poor Data Control - redundant data might be slightly different such as in the case
when Ms. Jones changes her name to Mrs. Johnson and the change is only reflected
in some of the files containing her data
• Inability to Easily Manipulate Data - it was a tedious and error prone activity to modify
files by hand
• Cryptic Work Flows - accessing the data could take excessive programming effort and
was too difficult for real-users (as opposed to programmers).
Consider how troublesome the following data file would be to maintain
Name Address Course Grade
Mr. Eric Tachibana 123 Kensigton Chemistry 102 C+
Mr. Eric Tachibana 123 Kensigton Chinese 3 A
Mr. Eric Tachibana 122 Kensigton Data Structures B
Mr. Eric Tachibana 123 Kensigton English 101 A
Ms. Tonya Lippert 88 West 1st St. Psychology 101 A
Mrs. Tonya Ducovney 100 Capitol Ln. Psychology 102 A
Ms. Tonya Lippert 88 West 1st St. Human Cultures A
Ms. Tonya Lippert 88 West 1st St. European Governments A
What was needed was a truly unique way to deal with the age-old problem, a way that
reflected the medium of the computer rather than the tools and metaphors it was
replacing.
Enter the database.
Simply put, a database is a computerized record keeping system. More completely, it is a
system involving data, the hardware that physically stores that data, the software that
utilizes the hardware's file system in order to 1) store the data and 2) provide a
standardized method for retrieving or changing the data, and finally, the users who turn
the data into information.
Databases, another creature of the 60s, were created to solve the problems with file-
oriented systems in that they were compact, fast, easy to use, current, accurate, allowed
the easy sharing of data between multiple users, and were secure.
A database might be as complex and demanding as an account tracking system used by
a bank to manage the constantly changing accounts of thousands of bank customers, or
it could be as simple as a collection of electronic business cards on your laptop.
The important thing is that a database allows you to store data and get it or modify it
when you need to easily and efficiently regardless of the amount of data being
manipulated. What the data is and how demanding you will be when retrieving and
modifying that data is simply a matter of scale.
Traditionally, databases ran on large, powerful mainframes for business applications. You
will probably have heard of such packages as Oracle 8 or Sybase SQL Server for
example.
However with the advent of small, powerful personal computers, databases have
become more readily usable by the average computer user. Microsoft's Access and
Borland's Paradox are two popular PC-based engines around.
More importantly for our focus, databases have quickly become integral to the design,
development, and services offered by web sites.
Consider a site like Amazon.com that must be able to allow
users to quickly jump through a vast virtual warehouse of
books and compact disks.
How could Amazon.com create web pages for every single
Item in their inventory and how could they keep all those
pages up to date. Well the answer is that their web pages
are created on-the-fly by a program that "queries" a
database of inventory items and produces an HTML page
based on the results of that query.
Want to learn more about how that happens? Check out the whole
tutorial at: http://www.extropia.com/tutorials/sql/toc.html

More Related Content

PPT
Data Integration Lecture
PDF
Don't follow the followers
PPTX
Week 5 thursday
PPT
The Digital Library from Information Superhighway to the Semiotic Web
PDF
VINT Symposium 2012: Recorded Future | David Weinberger
PDF
Data Rescue and Preserving DR Capabilities
PDF
Big Data in the Arts and Humanities
PDF
Cap 233 info retrieval
Data Integration Lecture
Don't follow the followers
Week 5 thursday
The Digital Library from Information Superhighway to the Semiotic Web
VINT Symposium 2012: Recorded Future | David Weinberger
Data Rescue and Preserving DR Capabilities
Big Data in the Arts and Humanities
Cap 233 info retrieval

Similar to What is a database (for non techies) (20)

PDF
Module03
PDF
Database report
PPT
27 fcs157al1
PPT
27 fcs157al1 (1)
DOC
rdbms-notes
PPT
Understanding EDP (Electronic Data Processing) Environment
PDF
Database & dbms
PPT
Database fundamentals
PPTX
Data Processing in Fundamentals of IT
DOCX
Alejandro Arizpe - Artificial Intelligence, Machine Learning, and Databases i...
PPTX
DBS Theory Week 1 including relationships and relational database
PDF
Computer Science 12th Topic- introduction to syllabus.pdf
PPTX
Presentation and architecture FDBMS Unit-1.pptx
PDF
Data base management system
PPT
D.dsgn + dbms
PPT
Database Management & Models
PPTX
Data concepts
PPTX
DATABASE ADMINISTRATION: Identify Physical Database Requirements
PPTX
Databases and its representation
PPTX
Module 1 - Chapter1.pptx
Module03
Database report
27 fcs157al1
27 fcs157al1 (1)
rdbms-notes
Understanding EDP (Electronic Data Processing) Environment
Database & dbms
Database fundamentals
Data Processing in Fundamentals of IT
Alejandro Arizpe - Artificial Intelligence, Machine Learning, and Databases i...
DBS Theory Week 1 including relationships and relational database
Computer Science 12th Topic- introduction to syllabus.pdf
Presentation and architecture FDBMS Unit-1.pptx
Data base management system
D.dsgn + dbms
Database Management & Models
Data concepts
DATABASE ADMINISTRATION: Identify Physical Database Requirements
Databases and its representation
Module 1 - Chapter1.pptx
Ad

More from Eric Tachibana (20)

PPTX
Intellectual property for entrepreneurs
PPTX
7Vs and Business Model Validation
PPTX
Key Person Risk and Succession Planning Workshop
PPTX
Beautiful Song Lyrics
PPTX
Advice for Corporate Accelerator Mentors
PPTX
An Intro to the Financial Services Industry
PPTX
Making the most of your start up mentor workshop - dbs hotspot accelerator
PPTX
Corporate values conversation workshop
PPTX
Rethinking Annual Performance as Workshops
PPTX
Workshops that Work
PPTX
Talent Planning Workshop
PDF
What if Trump Won?!?
PPTX
Kuala Lumpur CTO Summit - How to fire employees
PDF
AWS_asset_configuration_management_whitepaper
PPTX
Steal this idea - 10 Great Start-up Ideation Accelerators
PPTX
Being on the board of directors - Why it sucks and how to improve it
PPTX
Optical illusions
PPT
Talent management strategy
PPT
Social influence for startups marketers
PPTX
Information wants to be free
Intellectual property for entrepreneurs
7Vs and Business Model Validation
Key Person Risk and Succession Planning Workshop
Beautiful Song Lyrics
Advice for Corporate Accelerator Mentors
An Intro to the Financial Services Industry
Making the most of your start up mentor workshop - dbs hotspot accelerator
Corporate values conversation workshop
Rethinking Annual Performance as Workshops
Workshops that Work
Talent Planning Workshop
What if Trump Won?!?
Kuala Lumpur CTO Summit - How to fire employees
AWS_asset_configuration_management_whitepaper
Steal this idea - 10 Great Start-up Ideation Accelerators
Being on the board of directors - Why it sucks and how to improve it
Optical illusions
Talent management strategy
Social influence for startups marketers
Information wants to be free
Ad

Recently uploaded (20)

PDF
Chapter 3 Spatial Domain Image Processing.pdf
PDF
Empathic Computing: Creating Shared Understanding
PDF
Spectral efficient network and resource selection model in 5G networks
PDF
Per capita expenditure prediction using model stacking based on satellite ima...
PPTX
sap open course for s4hana steps from ECC to s4
PPT
Teaching material agriculture food technology
PPTX
20250228 LYD VKU AI Blended-Learning.pptx
PDF
Machine learning based COVID-19 study performance prediction
PDF
TokAI - TikTok AI Agent : The First AI Application That Analyzes 10,000+ Vira...
DOCX
The AUB Centre for AI in Media Proposal.docx
PDF
Agricultural_Statistics_at_a_Glance_2022_0.pdf
PDF
Dropbox Q2 2025 Financial Results & Investor Presentation
PPTX
MYSQL Presentation for SQL database connectivity
PPTX
Machine Learning_overview_presentation.pptx
PDF
Build a system with the filesystem maintained by OSTree @ COSCUP 2025
PPT
“AI and Expert System Decision Support & Business Intelligence Systems”
PPTX
Spectroscopy.pptx food analysis technology
PDF
Diabetes mellitus diagnosis method based random forest with bat algorithm
PDF
The Rise and Fall of 3GPP – Time for a Sabbatical?
PPTX
Cloud computing and distributed systems.
Chapter 3 Spatial Domain Image Processing.pdf
Empathic Computing: Creating Shared Understanding
Spectral efficient network and resource selection model in 5G networks
Per capita expenditure prediction using model stacking based on satellite ima...
sap open course for s4hana steps from ECC to s4
Teaching material agriculture food technology
20250228 LYD VKU AI Blended-Learning.pptx
Machine learning based COVID-19 study performance prediction
TokAI - TikTok AI Agent : The First AI Application That Analyzes 10,000+ Vira...
The AUB Centre for AI in Media Proposal.docx
Agricultural_Statistics_at_a_Glance_2022_0.pdf
Dropbox Q2 2025 Financial Results & Investor Presentation
MYSQL Presentation for SQL database connectivity
Machine Learning_overview_presentation.pptx
Build a system with the filesystem maintained by OSTree @ COSCUP 2025
“AI and Expert System Decision Support & Business Intelligence Systems”
Spectroscopy.pptx food analysis technology
Diabetes mellitus diagnosis method based random forest with bat algorithm
The Rise and Fall of 3GPP – Time for a Sabbatical?
Cloud computing and distributed systems.

What is a database (for non techies)

  • 1. WHAT IS A DATABASE (1996) Selena Sol presents….. selena@selenasol.com http://www.linkedin.com/pub/eric-tachibana/0/33/b53 http://www.slideshare.net/selenasol for non techies…
  • 2. Once upon a time, in the primitive and barbarian days before computers, the amount of information shepherded by a group of people could be collected in the wisdom and the stories of its older members. In this world, storytellers, magicians, and grandparents were considered great and honored storehouses for all that was known. Apparently, and according to vast archeological data, campfires were used (like command-line middleware) by the younger members of the community to access the information stored in the minds of the elders using API's such as public String TellUsAboutTheTimeWhen(String s);. And then of course, like a sweeping and rapidly-encompassing viral infection, came agriculture, over-production of foodstuffs, and the origins of modern-day commerce. Dealing with vast storehouses of wheat, rice, and maize became quite a chore for the monarchs and emperors that developed along with the new economy. There was simply too much data to be managed in the minds of the elders (who by now were feeling the effects of hardware obsolescence as they were being pushed quietly into the background). And so, in order to store all the new information, humanity invented the technology of writing. And though great scholars like Aristotle warned that the invention of the alphabet would lead to the subtle but total demise of the creativity and sensibility of humanity, data began to be stored in voluminous data repositories, called books.
  • 3. As we know, eventually books copulated with great speed and soon, whole communities of books migrated to the first real "databases", libraries. Unlike previous versions of data warehouses (people and books), that might be considered the australopithecines of the database lineage, libraries crossed over into the modern-day species, though they were incredibly primitive of course. Specifically, libraries introduced "standards" by which data could be stored and retrieved. After all, without standards for accessing data, libraries would be like my closet, endless and engulfing swarms of chaos. Books, and the data within books, had to be quickly accessible by anyone if they were to be useful. In fact, the usefulness of a library, or any base of data, is proportional to its data storage and retrieval efficiency. This one corollary would drive the evolution of databases over the next 2000 years to its current state. Thus, early librarians defined standardized filing and retrieval protocols. Perhaps, if you have ever made it off the web, you will have seen an old library with its cute little indexing system (card catalog) and pointers (dewy decimal system). And for the next couple thousand years libraries grew, and grew, and grew along with associated storage/retrieval technologies such as the filing cabinet, colored tabs, and three ring binders.
  • 4. All this until one day about half a century ago, some really bright folks including Alan Turing, working for the British government were asked to invent an advanced tool for breaking German cryptographic "Enigma" codes. At the same time, another group of really bright IBM engineers were working with the Nazi’s to efficiently manage Holocaust prisoner data. That day the world changed again. That day the computer was born. The computer was an intensely revolutionary technology of course, but as with any technology, people took it and applied it to old problems instead of using it to its revolutionary potential. Almost instantly, the computer was applied to the age-old problem of information storage and retrieval. After all, by World War Two, information was already accumulating at rates beyond the space available in publicly supported libraries. And besides, it seemed somehow cheap and tawdry to store the entire archives of "The Three Stooges" in the Library of Congress. Information was seeping out of every crack and pore of modern day society. Thus, the first attempts at information storage and retrieval followed traditional lines and metaphors. The first systems were based on discrete files in a virtual library. In this file- oriented system, a bunch of files would be stored on a computer and could be accessed by a computer operator. Files of archived data were called "tables" because they looked like tables used in traditional file keeping. Rows in the table were called "records" and columns were called "fields".
  • 5. Consider the following example: The "flat file" system was a start. However, it was seriously inefficient. Essentially, in order to find a record, someone would have to read through the entire file and hope it was not the last record. With a hundred thousands records, you can imagine the dilemma. What was needed, computer scientists thought (using existing metaphors again) was a card catalog, a means to achieve random access processing, that is the ability to efficiently access a single record without searching the entire file to find it. The result was the indexed file-oriented system in which a single index file stored "key" words and pointers to records that were stored elsewhere. This made retrieval much more efficient. It worked just like a card catalog in a library. To find data, one needed only search for keys rather than reading entire records. First Name Last Name Email Phone Eric Tachibana erict@eff.org 213-456-0987 Selena Sol selena@eff.org 987-765-4321 Li Hsien Lim hsien@somedomain.com 65-777-9876
  • 6. However, even with the benefits of indexing, the file-oriented system still suffered from problems including: • Data Redundancy - the same data might be stored in different places • Poor Data Control - redundant data might be slightly different such as in the case when Ms. Jones changes her name to Mrs. Johnson and the change is only reflected in some of the files containing her data • Inability to Easily Manipulate Data - it was a tedious and error prone activity to modify files by hand • Cryptic Work Flows - accessing the data could take excessive programming effort and was too difficult for real-users (as opposed to programmers). Consider how troublesome the following data file would be to maintain Name Address Course Grade Mr. Eric Tachibana 123 Kensigton Chemistry 102 C+ Mr. Eric Tachibana 123 Kensigton Chinese 3 A Mr. Eric Tachibana 122 Kensigton Data Structures B Mr. Eric Tachibana 123 Kensigton English 101 A Ms. Tonya Lippert 88 West 1st St. Psychology 101 A Mrs. Tonya Ducovney 100 Capitol Ln. Psychology 102 A Ms. Tonya Lippert 88 West 1st St. Human Cultures A Ms. Tonya Lippert 88 West 1st St. European Governments A
  • 7. What was needed was a truly unique way to deal with the age-old problem, a way that reflected the medium of the computer rather than the tools and metaphors it was replacing. Enter the database. Simply put, a database is a computerized record keeping system. More completely, it is a system involving data, the hardware that physically stores that data, the software that utilizes the hardware's file system in order to 1) store the data and 2) provide a standardized method for retrieving or changing the data, and finally, the users who turn the data into information. Databases, another creature of the 60s, were created to solve the problems with file- oriented systems in that they were compact, fast, easy to use, current, accurate, allowed the easy sharing of data between multiple users, and were secure. A database might be as complex and demanding as an account tracking system used by a bank to manage the constantly changing accounts of thousands of bank customers, or it could be as simple as a collection of electronic business cards on your laptop. The important thing is that a database allows you to store data and get it or modify it when you need to easily and efficiently regardless of the amount of data being manipulated. What the data is and how demanding you will be when retrieving and modifying that data is simply a matter of scale.
  • 8. Traditionally, databases ran on large, powerful mainframes for business applications. You will probably have heard of such packages as Oracle 8 or Sybase SQL Server for example. However with the advent of small, powerful personal computers, databases have become more readily usable by the average computer user. Microsoft's Access and Borland's Paradox are two popular PC-based engines around. More importantly for our focus, databases have quickly become integral to the design, development, and services offered by web sites. Consider a site like Amazon.com that must be able to allow users to quickly jump through a vast virtual warehouse of books and compact disks. How could Amazon.com create web pages for every single Item in their inventory and how could they keep all those pages up to date. Well the answer is that their web pages are created on-the-fly by a program that "queries" a database of inventory items and produces an HTML page based on the results of that query. Want to learn more about how that happens? Check out the whole tutorial at: http://www.extropia.com/tutorials/sql/toc.html