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Alfonso Sánchez and Alberto Sánchez 2nd Bach

BIG DATA

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01

Bibliography

Doubts

Advantages and disanvantages

Big Data uses with trademarks

How will Big Data develop in 10 years?

Law abscence

Machine Learning

Data lifecycle

5 V's

Big Data Introduction

Index

01

Big data is a term that describes the sheer volume of data structured and unstructured that floods a business every day. But it is not the amount of data what is important, Big Data can be analyzed to obtain insights that lead to better decisions and strategic business actions.

BIG DATA INTRODUCTION

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  1. VOLUME
  2. VELOCITY
  3. VARIETY
  4. VERACITY
  5. VALUE

5 V's

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  • CAPTURE
  • ETL
  • STORAGE
  • PROCESSING AND ANALYSIS
  • EXPLORATION AND VISUALIZATION

Data lifecycle

04

Machine learning is a data analysis method that automates the construction of analytical models. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns, and make decisions with minimal human intervention.

Machine learning

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  • Obligation to urgently report any problem that poses a "risk to the rights and freedoms of individuals".
  • Any European citizen has the right to carry out a portability of their data from one company to another.
  • Mandatory for companies that deal with large-scale data, such as Facebook or Google, to hire a data protection officer.
  • The user is in control of what data is shared and how it is used.
  • Bulleted list
  • Bulleted list

Law abscence

06

  • Everything indicates that in the coming years the proper handling of information will also be a requirement to be competitive in any business sector, have more chances of obtaining a job or have a professional career as successful as possible.
  • Furthermore, it will be an economic point, it will develop the economy. And the people who is working on Big Data will earn lot of money.

How will Big Data develop in 10 years?

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ROLAND GARROS

APPLE WATCH

GOOGLE MAPS

NETFLIX

Big Data uses with trademarks

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Advantages

  • Opportunities to make better decisions
  • Improving customer service and customer experience
  • Increasing productivity and efficiency
  • Greater agility and speed to market
  • Fraud and anomaly detection

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  • Questionable Data Quality
  • Compliance Headaches
  • Cost and Infrastructure Issues
  • Big Data Skills Shortage
  • Heightened Security Risks

Disadvantages

09

Doubts

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Bibliography

THANK YOU AND GOOD BYE