This document summarizes the history of data, from ancient record keeping methods like clay tokens and pebbles, to modern developments in data storage media like magnetic tapes, disks, and flash drives. It describes how data needs have historically driven technology developments, and how data has become a crucial corporate resource that enables competitive advantages when managed effectively through database management systems. These systems help address challenges of storing and accessing large volumes of massively duplicated corporate data through features that encourage sharing, improve accuracy, and provide security, privacy, and backup capabilities.
This document provides an overview of big data. It defines big data as large volumes of diverse data that are growing rapidly and require new techniques to capture, store, distribute, manage, and analyze. The key characteristics of big data are volume, velocity, and variety. Common sources of big data include sensors, mobile devices, social media, and business transactions. Tools like Hadoop and MapReduce are used to store and process big data across distributed systems. Applications of big data include smarter healthcare, traffic control, and personalized marketing. The future of big data is promising with the market expected to grow substantially in the coming years.
How to Become a Thought Leader in Your NicheLeslie Samuel
油
Are bloggers thought leaders? Here are some tips on how you can become one. Provide great value, put awesome content out there on a regular basis, and help others.
This chapter discusses the history of data collection and storage from ancient times through modern databases. It describes how early humans tracked data using pebbles and clay tokens, the development of record keeping in ancient civilizations, and the evolution of data storage technologies like punched cards, magnetic tape, disks, and solid state drives. It explains how data has become a crucial corporate resource and competitive advantage, and how database management systems were created to address the challenges of storing and accessing vast amounts of business data.
This chapter discusses the history of data from ancient times to modern databases. It explains how humankind has been interested in data for at least 12,000 years, initially using simple methods like pebbles to track livestock. Over time, data storage evolved through clay tokens, double-entry bookkeeping in the 14th century, punched cards in the 19th century, and the development of mainframe computers in the 1950s using magnetic tape and disks. The chapter describes how data became a crucial corporate resource, driving the need for database management systems to securely store and provide efficient access to massive amounts of company data in order to gain a competitive advantage.
This chapter discusses the history of data from ancient times to modern databases. It explains how humankind has been interested in data for at least 12,000 years, initially using simple methods like pebbles to track flocks. Technological developments helped process and store data more efficiently over time, from calculating devices to punched cards to magnetic storage media. Today, data has become a crucial corporate resource, and database management systems are used to store and access massive volumes of data to gain competitive advantages.
This document provides an overview of a lecture on database management systems. It discusses the history of data collection and storage from ancient times through modern technologies. It then covers key topics to be discussed in the lecture, including the different types of databases, typical functionality of database management systems, and the advantages of the database approach. The document outlines the learning objectives and provides context around the importance of data as a resource and the problems involved with storing and accessing large amounts of data.
Earn unlimited with the help of IT Essentials and Data Recovery for Online Bu...Farhan210146
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This document provides an overview of information technology essentials and data recovery for online businesses. It discusses the history of IT from ancient times to the present, types of IT tools and media including personal computers, storage media, and internet/communication options. It emphasizes the importance of properly setting up a business IT system, getting organized, networking, and protecting data through backups, email security, and computer maintenance. The goal is to help businesses set up their IT infrastructure correctly and safeguard their important digital information and data.
Module 1 Introduction to Big and Smart Data- Online caniceconsulting
油
This document provides an overview of big and smart data. It begins with a brief history of data, from tally sticks used by early humans to track supplies to modern digital storage. It then defines the key terms "big data" and "smart data," and explains how big data can be transformed into smart data through analysis. The document aims to help readers understand the emerging role of data, classify different types of data, and know how to start using data intelligently.
Data Rescue and Preserving DR CapabilitiesChris Muller
油
Presentation at Best Practices Exchange conference in Harrisburg, PA. Enjoyable data rescue projects over the years and suggestions re IPDRC - Initiative to Preserve Data Rescue Capabilities.
City of San Antonio - Texas Digitization Expo 2010Sarah Walch, CA
油
The City of San Antonio archives program began in 2005 and has since expanded through grants from the National Historical Publications and Records Commission totaling $150,000. The program houses and makes available over 74 collections related to the history of San Antonio. Current projects include acquiring new materials, exhibits, digitization in partnership with the public library, and seeking funding for a new facility.
This document summarizes the history of big data from 18,000 BCE to the present, noting key milestones such as the development of tally sticks, libraries, punch cards, magnetic storage, the internet, search engines, and big data frameworks like Hadoop. Some highlights are the first recorded statistical analysis in 1663 to curb plague, the prediction of pocket-sized data access devices in 1926, an estimate of 200 million digitally stored books by 2040 in 1944, and the coining of the term "big data" in 1999 to describe datasets too large for traditional databases to handle.
Kappelman tribalnet - trends in IT infrastructure - 16nov2011 hLeon Kappelman
油
際際滷 deck from a talk on "Trends in IT Infrastructure - What you don't know CAN hurt you" given at 'the TribalNet Conference on 16 November 2011 in Phoenix.
The document traces the history of computing from early mechanical calculators to modern computers. It discusses key developments such as Charles Babbage's analytical engine (1837), the first general-purpose electronic computer ENIAC (1946), the stored-program concept developed by John von Neumann (1945), and the advent of integrated circuits and microprocessors in the 1960s-70s which led to the development of personal computers. The four generations of computers - first using valves/tubes, second using transistors, third using integrated circuits, and fourth using microprocessors - are also outlined.
This document provides a brief history of big data, starting from 18,000 BCE when tally sticks were first used to record data up until the present day. Some key events include the development of the abacus in 2400 BCE, the creation of the first mechanical computer in 100 AD, Herman Hollerith's creation of the punch card tabulating machine in 1881, and the development of Hadoop in 2005 as an open source framework for big data. The document outlines how data storage and analysis has evolved over time from early manual methods to today's digital technologies and vast amounts of data being created and stored.
The first devices resembling modern computers date back to the 1940s, though earlier concepts and machines existed. Early computers filled entire rooms due to their size and power needs. Modern computers are vastly more capable, fitting into small spaces powered by batteries. Personal computers became ubiquitous in society and are icons of the Information Age. The development of computer networking through the ARPANET and Internet has redefined computers and their place in society.
Many believe Big Data is a brand new phenomenon. It isn't, it is part of an evolution that reaches far back history. Here are some of the key milestones in this development.
The document discusses industry, information technology, and the growth of the IT industry. It provides context around key developments like the integrated circuit that made computers smaller and more affordable. This fueled the growth of the IT industry. Silicon Valley is highlighted as a major hub where factors like universities, funding, talent, and collaboration created conditions for the industry to thrive.
Computer literacy refers to the knowledge and skills required to effectively use computers and related technology. It is essential in today's society as computers have become integral parts of our personal and professional lives.
The Four Main Components And History Of Computers discusses the history and components of computers. It describes the four main components - input devices, output devices, secondary storage, and the processor and primary storage. Input devices allow users to input data, like keyboards and mice. Output devices send data from the computer to the user, like monitors and printers. Secondary storage serves as additional storage beyond the primary storage and includes hard drives. The processor and primary storage temporarily hold data and files while the computer is running.
The document summarizes the history of computers from 1200 AD to the present. It begins with the Chinese invention of the abacus in 1200 AD. Major developments included Charles Babbage inventing the Analytical Engine in 1834, Herman Hollerith founding IBM in 1924 and developing punched card technology, the creation of electronic computers in the 1930s, and George Boole defining the binary system. The document then discusses the development of transistors, microprocessors, PCs, the internet, and future technologies like artificial intelligence, nanotechnology, and membrane computing. Major figures discussed include Steve Jobs, Bill Gates, and Tim Berners-Lee who created the World Wide Web.
The floppy disk was invented in 1967 by IBM engineers to provide a reliable and inexpensive way to load software and updates onto mainframe computers. Floppy disks stored data on flexible magnetic disks and helped enable the personal computer revolution by allowing for easy transfer of data and programs between computers. At its peak in the mid-1990s, over 5 billion floppy disks were sold worldwide per year. While floppy disks are rarely used today due to larger storage options, they had a huge impact by making data transfer portable and easy, fueling the growth of the software industry and changing how people worked.
This document discusses the fundamentals of computers, including:
1) It defines a computer as an electronic device that can perform calculations and logical operations at high speeds according to given instructions.
2) It describes the different types of computers like analog, digital, hybrid, and special purpose computers.
3) It provides an overview of the basic hardware components of a computer like the CPU, memory units, input and output devices.
4) It also discusses computer software, including system software like operating systems, and application software.
This document discusses big data in finance. It provides an overview of the different types and sources of structured and unstructured data used in finance. It also outlines the technology landscape for working with this data, including frameworks for information retrieval, analytics, and human-computer interfaces. Real-time high-frequency trading is discussed as one application area that utilizes both structured market data feeds and GPU processing.
Essentials of Marketing - Digital Marketing & TechnologyTom Chapman
油
This is an introductory session on technology and digital marketing. It takes a historical look back at some the technical innovations that have taken place over the life of the lecturer
30B Images and Counting: Scaling Canva's Content-Understanding Pipelines by K...ScyllaDB
油
Scaling content understanding for billions of images is no easy feat. This talk dives into building extreme label classification models, balancing accuracy & speed, and optimizing ML pipelines for scale. You'll learn new ways to tackle real-time performance challenges in massive data environments.
This is session #4 of the 5-session online study series with Google Cloud, where we take you onto the journey learning generative AI. Youll explore the dynamic landscape of Generative AI, gaining both theoretical insights and practical know-how of Google Cloud GenAI tools such as Gemini, Vertex AI, AI agents and Imagen 3.
This document provides an overview of a lecture on database management systems. It discusses the history of data collection and storage from ancient times through modern technologies. It then covers key topics to be discussed in the lecture, including the different types of databases, typical functionality of database management systems, and the advantages of the database approach. The document outlines the learning objectives and provides context around the importance of data as a resource and the problems involved with storing and accessing large amounts of data.
Earn unlimited with the help of IT Essentials and Data Recovery for Online Bu...Farhan210146
油
This document provides an overview of information technology essentials and data recovery for online businesses. It discusses the history of IT from ancient times to the present, types of IT tools and media including personal computers, storage media, and internet/communication options. It emphasizes the importance of properly setting up a business IT system, getting organized, networking, and protecting data through backups, email security, and computer maintenance. The goal is to help businesses set up their IT infrastructure correctly and safeguard their important digital information and data.
Module 1 Introduction to Big and Smart Data- Online caniceconsulting
油
This document provides an overview of big and smart data. It begins with a brief history of data, from tally sticks used by early humans to track supplies to modern digital storage. It then defines the key terms "big data" and "smart data," and explains how big data can be transformed into smart data through analysis. The document aims to help readers understand the emerging role of data, classify different types of data, and know how to start using data intelligently.
Data Rescue and Preserving DR CapabilitiesChris Muller
油
Presentation at Best Practices Exchange conference in Harrisburg, PA. Enjoyable data rescue projects over the years and suggestions re IPDRC - Initiative to Preserve Data Rescue Capabilities.
City of San Antonio - Texas Digitization Expo 2010Sarah Walch, CA
油
The City of San Antonio archives program began in 2005 and has since expanded through grants from the National Historical Publications and Records Commission totaling $150,000. The program houses and makes available over 74 collections related to the history of San Antonio. Current projects include acquiring new materials, exhibits, digitization in partnership with the public library, and seeking funding for a new facility.
This document summarizes the history of big data from 18,000 BCE to the present, noting key milestones such as the development of tally sticks, libraries, punch cards, magnetic storage, the internet, search engines, and big data frameworks like Hadoop. Some highlights are the first recorded statistical analysis in 1663 to curb plague, the prediction of pocket-sized data access devices in 1926, an estimate of 200 million digitally stored books by 2040 in 1944, and the coining of the term "big data" in 1999 to describe datasets too large for traditional databases to handle.
Kappelman tribalnet - trends in IT infrastructure - 16nov2011 hLeon Kappelman
油
際際滷 deck from a talk on "Trends in IT Infrastructure - What you don't know CAN hurt you" given at 'the TribalNet Conference on 16 November 2011 in Phoenix.
The document traces the history of computing from early mechanical calculators to modern computers. It discusses key developments such as Charles Babbage's analytical engine (1837), the first general-purpose electronic computer ENIAC (1946), the stored-program concept developed by John von Neumann (1945), and the advent of integrated circuits and microprocessors in the 1960s-70s which led to the development of personal computers. The four generations of computers - first using valves/tubes, second using transistors, third using integrated circuits, and fourth using microprocessors - are also outlined.
This document provides a brief history of big data, starting from 18,000 BCE when tally sticks were first used to record data up until the present day. Some key events include the development of the abacus in 2400 BCE, the creation of the first mechanical computer in 100 AD, Herman Hollerith's creation of the punch card tabulating machine in 1881, and the development of Hadoop in 2005 as an open source framework for big data. The document outlines how data storage and analysis has evolved over time from early manual methods to today's digital technologies and vast amounts of data being created and stored.
The first devices resembling modern computers date back to the 1940s, though earlier concepts and machines existed. Early computers filled entire rooms due to their size and power needs. Modern computers are vastly more capable, fitting into small spaces powered by batteries. Personal computers became ubiquitous in society and are icons of the Information Age. The development of computer networking through the ARPANET and Internet has redefined computers and their place in society.
Many believe Big Data is a brand new phenomenon. It isn't, it is part of an evolution that reaches far back history. Here are some of the key milestones in this development.
The document discusses industry, information technology, and the growth of the IT industry. It provides context around key developments like the integrated circuit that made computers smaller and more affordable. This fueled the growth of the IT industry. Silicon Valley is highlighted as a major hub where factors like universities, funding, talent, and collaboration created conditions for the industry to thrive.
Computer literacy refers to the knowledge and skills required to effectively use computers and related technology. It is essential in today's society as computers have become integral parts of our personal and professional lives.
The Four Main Components And History Of Computers discusses the history and components of computers. It describes the four main components - input devices, output devices, secondary storage, and the processor and primary storage. Input devices allow users to input data, like keyboards and mice. Output devices send data from the computer to the user, like monitors and printers. Secondary storage serves as additional storage beyond the primary storage and includes hard drives. The processor and primary storage temporarily hold data and files while the computer is running.
The document summarizes the history of computers from 1200 AD to the present. It begins with the Chinese invention of the abacus in 1200 AD. Major developments included Charles Babbage inventing the Analytical Engine in 1834, Herman Hollerith founding IBM in 1924 and developing punched card technology, the creation of electronic computers in the 1930s, and George Boole defining the binary system. The document then discusses the development of transistors, microprocessors, PCs, the internet, and future technologies like artificial intelligence, nanotechnology, and membrane computing. Major figures discussed include Steve Jobs, Bill Gates, and Tim Berners-Lee who created the World Wide Web.
The floppy disk was invented in 1967 by IBM engineers to provide a reliable and inexpensive way to load software and updates onto mainframe computers. Floppy disks stored data on flexible magnetic disks and helped enable the personal computer revolution by allowing for easy transfer of data and programs between computers. At its peak in the mid-1990s, over 5 billion floppy disks were sold worldwide per year. While floppy disks are rarely used today due to larger storage options, they had a huge impact by making data transfer portable and easy, fueling the growth of the software industry and changing how people worked.
This document discusses the fundamentals of computers, including:
1) It defines a computer as an electronic device that can perform calculations and logical operations at high speeds according to given instructions.
2) It describes the different types of computers like analog, digital, hybrid, and special purpose computers.
3) It provides an overview of the basic hardware components of a computer like the CPU, memory units, input and output devices.
4) It also discusses computer software, including system software like operating systems, and application software.
This document discusses big data in finance. It provides an overview of the different types and sources of structured and unstructured data used in finance. It also outlines the technology landscape for working with this data, including frameworks for information retrieval, analytics, and human-computer interfaces. Real-time high-frequency trading is discussed as one application area that utilizes both structured market data feeds and GPU processing.
Essentials of Marketing - Digital Marketing & TechnologyTom Chapman
油
This is an introductory session on technology and digital marketing. It takes a historical look back at some the technical innovations that have taken place over the life of the lecturer
30B Images and Counting: Scaling Canva's Content-Understanding Pipelines by K...ScyllaDB
油
Scaling content understanding for billions of images is no easy feat. This talk dives into building extreme label classification models, balancing accuracy & speed, and optimizing ML pipelines for scale. You'll learn new ways to tackle real-time performance challenges in massive data environments.
This is session #4 of the 5-session online study series with Google Cloud, where we take you onto the journey learning generative AI. Youll explore the dynamic landscape of Generative AI, gaining both theoretical insights and practical know-how of Google Cloud GenAI tools such as Gemini, Vertex AI, AI agents and Imagen 3.
Many MSPs overlook endpoint backup, missing out on additional profit and leaving a gap that puts client data at risk.
Join our webinar as we break down the top challenges of endpoint backupand how to overcome them.
[Webinar] Scaling Made Simple: Getting Started with No-Code Web AppsSafe Software
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Ready to simplify workflow sharing across your organization without diving into complex coding? With FME Flow Apps, you can build no-code web apps that make your data work harder for you fast.
In this webinar, well show you how to:
Build and deploy Workspace Apps to create an intuitive user interface for self-serve data processing and validation.
Automate processes using Automation Apps. Learn to create a no-code web app to kick off workflows tailored to your needs, trigger multiple workspaces and external actions, and use conditional filtering within automations to control your workflows.
Create a centralized portal with Gallery Apps to share a collection of no-code web apps across your organization.
Through real-world examples and practical demos, youll learn how to transform your workflows into intuitive, self-serve solutions that empower your team and save you time. We cant wait to show you whats possible!
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DevNexus - Building 10x Development Organizations.pdfJustin Reock
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Developer Experience is Dead! Long Live Developer Experience!
In this keynote-style session, well take a detailed, granular look at the barriers to productivity developers face today and modern approaches for removing them. 10x developers may be a myth, but 10x organizations are very real, as proven by the influential study performed in the 1980s, The Coding War Games.
Right now, here in early 2025, we seem to be experiencing YAPP (Yet Another Productivity Philosophy), and that philosophy is converging on developer experience. It seems that with every new method, we invent to deliver products, whether physical or virtual, we reinvent productivity philosophies to go alongside them.
But which of these approaches works? DORA? SPACE? DevEx? What should we invest in and create urgency behind today so we dont have the same discussion again in a decade?
Understanding Traditional AI with Custom Vision & MuleSoft.pptxshyamraj55
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Understanding Traditional AI with Custom Vision & MuleSoft.pptx | ### 際際滷 Deck Description:
This presentation features Atul, a Senior Solution Architect at NTT DATA, sharing his journey into traditional AI using Azure's Custom Vision tool. He discusses how AI mimics human thinking and reasoning, differentiates between predictive and generative AI, and demonstrates a real-world use case. The session covers the step-by-step process of creating and training an AI model for image classification and object detectionspecifically, an ad display that adapts based on the viewer's gender. Atulavan highlights the ease of implementation without deep software or programming expertise. The presentation concludes with a Q&A session addressing technical and privacy concerns.
World Information Architecture Day 2025 - UX at a CrossroadsJoshua Randall
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User Experience stands at a crossroads: will we live up to our potential to design a better world? or will we be co-opted by product management or another business buzzword?
Looking backwards, this talk will show how UX has repeatedly failed to create a better world, drawing on industry data from Nielsen Norman Group, Baymard, MeasuringU, WebAIM, and others.
Looking forwards, this talk will argue that UX must resist hype, say no more often and collaborate less often (you read that right), and become a true profession in order to be able to design a better world.
How Discord Indexes Trillions of Messages: Scaling Search Infrastructure by V...ScyllaDB
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This talk shares how Discord scaled their message search infrastructure using Rust, Kubernetes, and a multi-cluster Elasticsearch architecture to achieve better performance, operability, and reliability, while also enabling new search features for Discord users.
EaseUS Partition Master Crack 2025 + Serial Keykherorpacca127
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https://ncracked.com/7961-2/
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EASEUS Partition Master Crack is a professional hard disk partition management tool and system partition optimization software. It is an all-in-one PC and server disk management toolkit for IT professionals, system administrators, technicians, and consultants to provide technical services to customers with unlimited use.
EASEUS Partition Master 18.0 Technician Edition Crack interface is clean and tidy, so all options are at your fingertips. Whether you want to resize, move, copy, merge, browse, check, convert partitions, or change their labels, you can do everything with a few clicks. The defragmentation tool is also designed to merge fragmented files and folders and store them in contiguous locations on the hard drive.
Formal Methods: Whence and Whither? [Martin Fr辰nzle Festkolloquium, 2025]Jonathan Bowen
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Alan Turing arguably wrote the first paper on formal methods 75 years ago. Since then, there have been claims and counterclaims about formal methods. Tool development has been slow but aided by Moores Law with the increasing power of computers. Although formal methods are not widespread in practical usage at a heavyweight level, their influence as crept into software engineering practice to the extent that they are no longer necessarily called formal methods in their use. In addition, in areas where safety and security are important, with the increasing use of computers in such applications, formal methods are a viable way to improve the reliability of such software-based systems. Their use in hardware where a mistake can be very costly is also important. This talk explores the journey of formal methods to the present day and speculates on future directions.
https://ncracked.com/7961-2/
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Brave is a free Chromium browser developed for Win Downloads, macOS and Linux systems that allows users to browse the internet in a safer, faster and more secure way than its competition. Designed with security in mind, Brave automatically blocks ads and trackers which also makes it faster,
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The Future of Repair: Transparent and Incremental by Botond DenesScyllaDB
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Regularly run repairs are essential to keep clusters healthy, yet having a good repair schedule is more challenging than it should be. Repairs often take a long time, preventing running them often. This has an impact on data consistency and also limits the usefulness of the new repair based tombstone garbage collection. We want to address these challenges by making repairs incremental and allowing for automatic repair scheduling, without relying on external tools.
What Makes "Deep Research"? A Dive into AI AgentsZilliz
油
About this webinar:
Unless you live under a rock, you will have heard about OpenAIs release of Deep Research on Feb 2, 2025. This new product promises to revolutionize how we answer questions requiring the synthesis of large amounts of diverse information. But how does this technology work, and why is Deep Research a noticeable improvement over previous attempts? In this webinar, we will examine the concepts underpinning modern agents using our basic clone, Deep Searcher, as an example.
Topics covered:
Tool use
Structured output
Reflection
Reasoning models
Planning
Types of agentic memory
Backstage Software Templates for Java DevelopersMarkus Eisele
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As a Java developer you might have a hard time accepting the limitations that you feel being introduced into your development cycles. Let's look at the positives and learn everything important to know to turn Backstag's software templates into a helpful tool you can use to elevate the platform experience for all developers.
Backstage Software Templates for Java DevelopersMarkus Eisele
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Data the new corporate resource
1. Chapter 1Chapter 1
Data: The NewData: The New
Corporate ResourceCorporate Resource
Fundamentals of Database Management Systems,
2nd
ed
by
Mark L. Gillenson, Ph.D.
University of Memphis
John Wiley & Sons, Inc.
2. 1-1-22
Chapter ObjectivesChapter Objectives
Explain why humankinds interest in dataExplain why humankinds interest in data
goes back to ancient times.goes back to ancient times.
Describe how data needs have historicallyDescribe how data needs have historically
driven many information technologydriven many information technology
developments.developments.
Describe the evolution of data storageDescribe the evolution of data storage
media during the last century.media during the last century.
3. 1-1-33
Chapter ObjectivesChapter Objectives
Relate the idea of data as a corporateRelate the idea of data as a corporate
resource that can be used to gain aresource that can be used to gain a
competitive advantage to the developmentcompetitive advantage to the development
of the database management systemsof the database management systems
environment.environment.
4. 1-1-44
DataData
Data - the foundation of technological activityData - the foundation of technological activity
Database - a highly organized collection ofDatabase - a highly organized collection of
assembled dataassembled data
Database Management System - sophisticatedDatabase Management System - sophisticated
software that controls the database and thesoftware that controls the database and the
database environmentdatabase environment
5. 1-1-55
What is Data?What is Data?
A single piece of data is a single fact aboutA single piece of data is a single fact about
something that interests us.something that interests us.
A fact can be any characteristic of an object.A fact can be any characteristic of an object.
6. 1-1-66
History of DataHistory of Data
People have been interested in data for atPeople have been interested in data for at
least the past 12,000 years.least the past 12,000 years.
Non-computer, primitive methods of dataNon-computer, primitive methods of data
storage and handling.storage and handling.
7. 1-1-77
History of DataHistory of Data
Shepherds kept track of their flocks withShepherds kept track of their flocks with
pebbles.pebbles.
A primitive but legitimate example of dataA primitive but legitimate example of data
storage and retrieval.storage and retrieval.
8. 1-1-88
History of DataHistory of Data
Dating back to 8500 B.C., unearthed clay tokens or counters mayDating back to 8500 B.C., unearthed clay tokens or counters may
have been used for record keeping in primitive forms of accounting.have been used for record keeping in primitive forms of accounting.
Tokens, with special markings on them, were sealed in hollow clayTokens, with special markings on them, were sealed in hollow clay
vessels that accompanied commercial goods in transit.vessels that accompanied commercial goods in transit.
9. 1-1-99
Data Through the AgesData Through the Ages
Record-keeping - the recording of data toRecord-keeping - the recording of data to
keep track of how much a person haskeep track of how much a person has
produced and what it can be bartered orproduced and what it can be bartered or
sold for.sold for.
With time, different kinds of data were keptWith time, different kinds of data were kept
calendars, census data, surveys, landcalendars, census data, surveys, land
ownership records, marriage records, recordsownership records, marriage records, records
of church contributions, family trees, etc.of church contributions, family trees, etc.
10. 1-1-1010
History of DataHistory of Data
Double-entry bookkeeping - originated in theDouble-entry bookkeeping - originated in the
trading centers of fourteenth century Italy.trading centers of fourteenth century Italy.
The earliest known example is from a merchantThe earliest known example is from a merchant
in Genoa and dates to the year 1340.in Genoa and dates to the year 1340.
11. 1-1-1111
Early Data Problems SpawnEarly Data Problems Spawn
Calculating DevicesCalculating Devices
People interested in devices that couldPeople interested in devices that could
automatically process their data.automatically process their data.
Blaise Pascal produced an addingBlaise Pascal produced an adding
machine that was an early version ofmachine that was an early version of
todays mechanical automobiletodays mechanical automobile
odometers.odometers.
12. 1-1-1212
Punched Cards - Data StoragePunched Cards - Data Storage
Invented in 1805 by Joseph Marie Jacquard ofInvented in 1805 by Joseph Marie Jacquard of
France.France.
Jacquards method of storing fabric patterns, aJacquards method of storing fabric patterns, a
form of graphic data, as holes in punched cardsform of graphic data, as holes in punched cards
was a very clever means of data storage.was a very clever means of data storage.
Of great importance for computing devices toOf great importance for computing devices to
follow.follow.
13. 1-1-1313
Era of Modern InformationEra of Modern Information
ProcessingProcessing
The 1880 U.S. Census took about seven years toThe 1880 U.S. Census took about seven years to
compile by hand.compile by hand.
Basing his work on Jacquards punched card concept,Basing his work on Jacquards punched card concept,
Herman Hollerith arranged to have the census dataHerman Hollerith arranged to have the census data
stored in punched cards and invented machinery tostored in punched cards and invented machinery to
tabulate them.tabulate them.
In 1896 Hollerith formed the Tabulating MachineIn 1896 Hollerith formed the Tabulating Machine
Company to produce and commercially market hisCompany to produce and commercially market his
devices -- this later became IBM.devices -- this later became IBM.
14. 1-1-1414
Era of Modern InformationEra of Modern Information
ProcessingProcessing
James Powers developed devices toJames Powers developed devices to
automatically feed cards into theautomatically feed cards into the
equipment and to automatically printequipment and to automatically print
results.results.
In 1911 he established the PowersIn 1911 he established the Powers
Tabulating Machine Company -- this laterTabulating Machine Company -- this later
became Unisys Corporation.became Unisys Corporation.
15. 1-1-1515
The Mid-1950sThe Mid-1950s
The introduction of electronic computers.The introduction of electronic computers.
Witnessed a boom in economicWitnessed a boom in economic
development.development.
From this point onward, it would beFrom this point onward, it would be
virtually impossible to tie advances invirtually impossible to tie advances in
computing devices to specific, landmarkcomputing devices to specific, landmark
data storage and retrieval needs.data storage and retrieval needs.
16. 1-1-1616
Modern Data Storage MediaModern Data Storage Media
Punched paper tape - The earliest form ofPunched paper tape - The earliest form of
modern data storage, introduced in themodern data storage, introduced in the
1870s and 1880s.1870s and 1880s.
Punched cards were the only data storagePunched cards were the only data storage
medium used in the increasinglymedium used in the increasingly
sophisticated electromechanicalsophisticated electromechanical
accounting machines of the 1920s, 1930s,accounting machines of the 1920s, 1930s,
and 1940s.and 1940s.
17. 1-1-1717
Modern Data Storage MediaModern Data Storage Media
Middle to late 1930s saw the beginning of theMiddle to late 1930s saw the beginning of the
era of erasable magnetic storage media.era of erasable magnetic storage media.
By late 1940s, early work was done on the useBy late 1940s, early work was done on the use
of magnetic tape for recording data.of magnetic tape for recording data.
By 1950, several companies were developingBy 1950, several companies were developing
the magnetic tape concept for commercial use.the magnetic tape concept for commercial use.
18. 1-1-1818
Modern Data Storage MediaModern Data Storage Media
Magnetic Tape - commercially available units in 1952.Magnetic Tape - commercially available units in 1952.
Direct Access Magnetic Devices - began to beDirect Access Magnetic Devices - began to be
developed at MIT in the late 1930s and early 1940s.developed at MIT in the late 1930s and early 1940s.
Magnetic Drum - early 1950s; forerunners of magneticMagnetic Drum - early 1950s; forerunners of magnetic
disk technology.disk technology.
Magnetic Disk - commercially available in mid 1950s.Magnetic Disk - commercially available in mid 1950s.
Compact Disk (CD) introduced as a data storageCompact Disk (CD) introduced as a data storage
medium in 1985.medium in 1985.
Solid-state technology Flash drives.Solid-state technology Flash drives.
19. 1-1-1919
Using Data for CompetitiveUsing Data for Competitive
AdvantageAdvantage
Data has become indispensable to everyData has become indispensable to every
kind of modern business and governmentkind of modern business and government
organization.organization.
Data, the applications that process theData, the applications that process the
data, and the computers on which thedata, and the computers on which the
applications run are fundamental to everyapplications run are fundamental to every
aspect of every kind of endeavor.aspect of every kind of endeavor.
20. 1-1-2020
Using Data for CompetitiveUsing Data for Competitive
AdvantageAdvantage
Data is a corporate resource, possibly theData is a corporate resource, possibly the
most important corporate resource.most important corporate resource.
Data can give a company a crucialData can give a company a crucial
competitive advantage.competitive advantage.
e.g., FedEx had a significant competitivee.g., FedEx had a significant competitive
advantage when it first provided access toadvantage when it first provided access to
its package tracking data on its Web site.its package tracking data on its Web site.
21. 1-1-2121
Problems in Storing andProblems in Storing and
Accessing DataAccessing Data
Difficult to store and to provide efficient,Difficult to store and to provide efficient,
accurate access to a companys data.accurate access to a companys data.
The volume of data that companies haveThe volume of data that companies have
is massive.is massive.
Wal-Mart estimates its data warehouseWal-Mart estimates its data warehouse
contains hundreds of terabytes (trillions ofcontains hundreds of terabytes (trillions of
characters) of data.characters) of data.
22. 1-1-2222
Problems in Storing andProblems in Storing and
Accessing DataAccessing Data
Larger number of people want access toLarger number of people want access to
data:data:
EmployeesEmployees
CustomersCustomers
Trading partnersTrading partners
Additional issues include: data security,Additional issues include: data security,
data privacy, and backup and recovery.data privacy, and backup and recovery.
23. 1-1-2323
Data SecurityData Security
Involves a company protecting its dataInvolves a company protecting its data
from theft, malicious destruction,from theft, malicious destruction,
deliberate attempts at making phonydeliberate attempts at making phony
changes to the data.changes to the data.
e.g., someone trying to increase his owne.g., someone trying to increase his own
bank account balance.bank account balance.
24. 1-1-2424
Data PrivacyData Privacy
Ensuring that even employees whoEnsuring that even employees who
normally have access to the companysnormally have access to the companys
data are given access only to the specificdata are given access only to the specific
data that they need in their work.data that they need in their work.
25. 1-1-2525
Backup and RecoveryBackup and Recovery
The ability to reconstruct data if it is lost orThe ability to reconstruct data if it is lost or
corrupted.corrupted.
e.g., following a hardware failuree.g., following a hardware failure
e.g., following a natural disastere.g., following a natural disaster
26. 1-1-2626
Data AccuracyData Accuracy
The same data is stored several,The same data is stored several,
sometimes many, times within asometimes many, times within a
companys information system.companys information system.
When a new application is written, newWhen a new application is written, new
data files are created to store its data.data files are created to store its data.
Data can be duplicated within a single fileData can be duplicated within a single file
and across files.and across files.
27. 1-1-2727
Data as a Corporate ResourceData as a Corporate Resource
Data may be the most difficult corporateData may be the most difficult corporate
resource to manage.resource to manage.
We have tremendous volume, billions,We have tremendous volume, billions,
trillions, and more individual pieces oftrillions, and more individual pieces of
data, each piece of which is different fromdata, each piece of which is different from
the next.the next.
28. 1-1-2828
Data as a Corporate ResourceData as a Corporate Resource
A new kind of software is required to helpA new kind of software is required to help
manage the data.manage the data.
Progressively faster hardware is requiredProgressively faster hardware is required
to keep up with the increasing volume ofto keep up with the increasing volume of
data and data access demands.data and data access demands.
Data management specialists need to beData management specialists need to be
developed and educated.developed and educated.
29. 1-1-2929
The Database EnvironmentThe Database Environment
Database Management System (DBMS)Database Management System (DBMS)
New Personnel - database administratorNew Personnel - database administrator
and data management specialistand data management specialist
Fast hardwareFast hardware
Massive data storage facilitiesMassive data storage facilities
30. 1-1-3030
The Database EnvironmentThe Database Environment
Encourages data sharingEncourages data sharing
Helps control data redundancyHelps control data redundancy
Has important improvements in dataHas important improvements in data
accuracyaccuracy
Permits storage of vast volumes of dataPermits storage of vast volumes of data
with acceptable access.with acceptable access.
31. 1-1-3131
The Database EnvironmentThe Database Environment
Allows database queriesAllows database queries
Provides tools to control:Provides tools to control:
data securitydata security
data privacydata privacy
backup and recoverybackup and recovery
32. 1-1-3232
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