8 JAW-DROPPING WAYS BIG DATA CHANGED WORLD HISTORY - PowerPoint PPT Presentation

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8 JAW-DROPPING WAYS BIG DATA CHANGED WORLD HISTORY

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You’ve made the big decision: you want to move to a cloud data warehouse. We see this every day. Your on-premise data warehouse is too expensive, inflexible, and difficult to maintain. Meanwhile, cloud data warehouses store, manipulate, and analyze massive amounts of data in a more efficient, scalable, and cost-effective way. – PowerPoint PPT presentation

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Title: 8 JAW-DROPPING WAYS BIG DATA CHANGED WORLD HISTORY


1
8 JAW-DROPPING WAYS Big DATA CHANGED WORLD
HISTORY
  • Most times, bad data causes confusion at best,
    or consequences in our immediate lives at worst.
    Incorrect values, wrong dates, bad inferences,
    and countless other examples impact people and
    businesses every day.

2
8 JAW-DROPPING WAYS Big DATA CHANGED WORLD
HISTORY
  • However, every so often, bad data does much
    more than create a mundane problem. When bad data
    becomes the focal point in an event with global
    ramifications, the course of world history can
    change.
  • Here are 8 jaw-dropping ways bad data
    changed world history
  • Chinas Disrupted Search for Rome
  • In 97 AD, Chinese military ambassador Gan
    Ying was sent on an expedition by Chinese general
    Ban Chao to travel to the Roman Empire. But Gan
    Ying never reached Rome. He travelled as far as
    modern day Iran, and asked local merchants how
    long it took to cross the Black Sea to Rome.
    Wanting to preserve their trading monopolies, the
    merchants provided Ying with bad data, saying the
    trip could take up to 2 years. This was too long
    a wait, so Ying turned back, and China never
    connected with the Roman Empire.

3
8 JAW-DROPPING WAYS Big DATA CHANGED WORLD
HISTORY
  • Harald Sigurdsson, King of Norway, invaded
    England in 1066. After initial blistering
    victories, Haralds army decamped in the defeated
    town of Fulford. Haralds reconnaissance team
    concluded that English troops were nowhere near
    the town. The team passed this bad data onto
    Harald, who ordered his men to remove their armor
    and rest. Then English troops surprised the
    vulnerable invaders, routed the army, and killed
    Harald in battle, forcing Norways retreat from
    England.
  • In 1492, Christopher Columbus sailed
    across the Atlantic Ocean to find an alternative
    route to Asia. But Columbus relied on the
    inferior calculation of Alfranagus, a Persian
    geographer, to chart his route. Furthermore,
    Columbus either forgot or did not realize that he
    had to convert the Arabic miles used by
    Alfranagus into Roman miles. This bad data caused
    Columbus and his crew to land in the Americas,
    rather than in Asia.

4
8 JAW-DROPPING WAYS Big DATA CHANGED WORLD
HISTORY
  • For centuries, miasma theory held that
    diseases were transmitted by poisonous vapors or
    mists that contained decomposed matter, rather
    than by microbes. The theory was used to treat
    all of Europes major plagues. Miasma theory
    called for medical treatments that eliminated
    poor smells and bad hygiene. Since scientists had
    no instruments for measuring real success, they
    interpreted mild improvements amongst patients as
    confirmatory data for the theory. Miasma theory,
    and all the bad data associated with it, blocked
    physicians from properly treating patients all
    the way into the 20th century.
  • During World War II, the Germans created the
    first long-range guided ballistic missile, known
    as the V-2. The V-2 allowed the Germans to hit
    Allied targets accurately and rapidly over very
    long distances. However, a misinformation
    campaign led by British double agents convinced
    the Germans that the missiles were off by 10 20
    miles. The Germans adjusted the missiles based on
    this bad data, and ended up mostly hitting the
    sparse areas outside of London.

5
8 JAW-DROPPING WAYS Big DATA CHANGED WORLD
HISTORY
  • By 1971, resistance to Americas war in
    Vietnam was growing quickly. But there was still
    a large portion of the country that supported the
    effort. When the Pentagon Papers were leaked to
    the New York Times, it became clear that most of
    the data the US government released about the
    conflict was false. Without this smokescreen of
    bad data, support for the war plunged across the
    American public.
  • For the 8 JAW-DROPPING WAYS BIG DATA
    CHANGED WORLD HISTORY

6
8 JAW-DROPPING WAYS Big DATA CHANGED WORLD HISTORY
  • The Mars Climate Orbiter was a NASA space
    probe launched in 1998 to study the Martian
    climate. The probe was expected to generate major
    breakthroughs, and the scientific community
    across the world was eagerly awaiting the
    results. But the Orbiter never performed a single
    test. The probe flew off track and disintegrated
    in the atmosphere of Mars because its software
    was not converting data to the metric system. The
    bad data may have been a 6th grade science
    problem, but it led to a 193 million dollar
    mistake.
  • 2008 World Financial Meltdown (2008)
  • As one of the worst financial crises in
    history, the 2008 crash was fueled by bad data
    that overstated how much mortgage-backed
    securities, collateralized debt obligations, and
    other derivatives were actually worth. When the
    subprime mortgages that formed these derivatives
    defaulted, and their true value became apparent,
    key financial institutions such as Lehman
    Brothers went bankrupt. The collapse led to
    widespread evictions, foreclosures, and job
    losses across the world.

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8 JAW-DROPPING WAYS Big DATA CHANGED WORLD HISTORY
  • Maybe Thats Why Data Quality is So
    Important?
  • Not every instance of bad data is going to
    generate a world altering event. But it is
    interesting to reflect on how the data we use
    every day could ever become so randomly
    consequential. Most of us will never discover a
    country, or win a war, but we can certainly try
    our best to make sure that the data we handle and
    produce is of a high quality.
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