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Big Data is today

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Diego Andrés Buesaquillo Salazar

Big data refers to large and complex datasets that traditional data processing applications are unable to capture, manage, and analyze. There are three types of data: structured, semi-structured, and unstructured. The key characteristics of big data are volume, velocity, variety, veracity, and value. Common sources of big data include the web, social networks, machine to machine communication, large transaction data, and biometrics. Countries actively working with big data include Peru, Spain, the United Kingdom, and the United States.

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BIG DATA Diego Buesaquillo Economics
¿WHAT IS BIG DATA? According to Mckinsey Global Institute (2011), Big Data is a data set beyond of typical tools capabilities of software of data base to capture, manage and analyse.
TYPE OF DATA Structured data: Have order as spreedsheets and files. Some examples are birthdate, numbers of ID, Passport or credit card. Semi-structured data: Does’nt have and order but tags, and it is easier to separate them. Unstructured data: Does’nt have any order because are pictures, videos, data text and audio.
CHARACTERISTICS OF BIG DATA • Volume • Speed • Variety • Veracity • Value 3 “V” of Big Data • Volume: -Terabytes -Records -Transactions • Variety: -Structured -Unestructured -Semiestructured • Speed: -Real time -Flows
BIG DATA SIZE • ¿What is the most important part of Big Data, “Big” or “Data”? • Last two years, in the world the data size grew over 70%. • The only important of Big Data is how the people use him.
BIG DATA SIZE • Data are from simple things like wheater, transport, social networks, files, messages, videos and something like that.
¿WHERE DOES THE BIG DATA COME FROM? • Web and social networks • Machine to machine (M2M) • Large transaction data • Biometric • According to Sunill Soares (2012), the Big Data architecture is following:
Cloud Big Data lifecycle Analytic, security of Big Data Data warehouse Quality Big Data – Discovery of big data Big Data integration Data base Streaming analytics Big Data source
BIG DATA IN THE COUNTRIES Southamerica: Perú European Union: Spain and United Kingdom United states

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Big Data is today

  • 2. ¿WHAT IS BIG DATA? According to Mckinsey Global Institute (2011), Big Data is a data set beyond of typical tools capabilities of software of data base to capture, manage and analyse.
  • 3. TYPE OF DATA Structured data: Have order as spreedsheets and files. Some examples are birthdate, numbers of ID, Passport or credit card. Semi-structured data: Does’nt have and order but tags, and it is easier to separate them. Unstructured data: Does’nt have any order because are pictures, videos, data text and audio.
  • 4. CHARACTERISTICS OF BIG DATA • Volume • Speed • Variety • Veracity • Value 3 “V” of Big Data • Volume: -Terabytes -Records -Transactions • Variety: -Structured -Unestructured -Semiestructured • Speed: -Real time -Flows
  • 5. BIG DATA SIZE • ¿What is the most important part of Big Data, “Big” or “Data”? • Last two years, in the world the data size grew over 70%. • The only important of Big Data is how the people use him.
  • 6. BIG DATA SIZE • Data are from simple things like wheater, transport, social networks, files, messages, videos and something like that.
  • 7. ¿WHERE DOES THE BIG DATA COME FROM? • Web and social networks • Machine to machine (M2M) • Large transaction data • Biometric • According to Sunill Soares (2012), the Big Data architecture is following:
  • 8. Cloud Big Data lifecycle Analytic, security of Big Data Data warehouse Quality Big Data – Discovery of big data Big Data integration Data base Streaming analytics Big Data source
  • 9. BIG DATA IN THE COUNTRIES Southamerica: Perú European Union: Spain and United Kingdom United states