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Ahmed Shouman President &Co-Founder of Big Data Hub Contacts: Free phone: +201001817925 E-mail: [email protected] LinkedIn: eg.linkedin.com/in/ahmdshouman Twitter: https://twitter.com/AhmdShouman

Introduction to Dig Data& Hadoop

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Page 1: Introduction to Dig Data& Hadoop

Ahmed Shouman President &Co-Founder of Big Data Hub Contacts: Free phone: +201001817925 E-mail: [email protected] LinkedIn: eg.linkedin.com/in/ahmdshouman Twitter: https://twitter.com/AhmdShouman

Page 2: Introduction to Dig Data& Hadoop

Introduction to Big Data& Hadoop

Page 3: Introduction to Dig Data& Hadoop

Before start talking about Big Data… What’s Data?

Data is raw, unorganized facts that need to be processed. Data can be something simple and seemingly random and useless until it is organized.

Page 4: Introduction to Dig Data& Hadoop

How data Is being Generated ?

https://www.youtube.com/watch?v=2O7UZBcWStU

Page 5: Introduction to Dig Data& Hadoop

How data Is being Generated ?

http://wordlesstech.com/2015/01/22/internet-minute-2013-vs-2014/

Presenter
Presentation Notes
http://wordlesstech.com/2015/01/22/internet-minute-2013-vs-2014/
Page 6: Introduction to Dig Data& Hadoop

How data Is being Generated ?

http://wordlesstech.com/2015/01/22/internet-minute-2013-vs-2014/

Presenter
Presentation Notes
http://wordlesstech.com/2015/01/22/internet-minute-2013-vs-2014/
Page 7: Introduction to Dig Data& Hadoop
Page 8: Introduction to Dig Data& Hadoop

How big is BIG DATA?

https://www.youtube.com/watch?v=D4ZQxBPtyHg

Page 9: Introduction to Dig Data& Hadoop

How big is BIG DATA?

Page 10: Introduction to Dig Data& Hadoop

So, Big Data !!! The basic idea behind the phrase “Big

Data” is that everything we do is increasingly leaving a digital trace, which we can use and analyse.

Page 11: Introduction to Dig Data& Hadoop

Traditional Vs. Big Data Analysis

Traditional Approach Big Data Approach

Analyze small subsets of data Analyze all data

Analyzed information

All available information

All available information analyzed

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What Makes Data BIG DATA

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Applications for Big Data Analytics

Finance Multi-channel

sales

Telecom Traffic Control

Trading Analytics Fraud and Risk

Log Analysis

Search Quality

Retail: Churn, NBO

Smarter Healthcare

Homeland Security

Manufacturing

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http://www.slideshare.net/Dell/big-data-use-cases-36019892

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1. Behavioral analytics

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2. Customer Segmentation

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3. Predictive Support

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4. Market Basket Analysis & Pricing Optimization

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5. Predict Security Threats

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6. Fraud Detection

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7. Industry Specific

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7. Industry Specific

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Value

The ‘Datafication’ of our World; • Activities • Conversations • Words • Voice • Social Media • Browser logs • Photos • Videos • Sensors • Etc.

Volume

Variety

Velocity

Analysing Big Data: • Text

analytics • Sentiment

analysis • Face

recognition • Voice

analytics • Movement

analytics • Etc.

Turning Big Data into Value:

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How is Big Data being handled?

There are many solutions used to handle Big Data … One of them is

Hadoop hadoop: Is a Java-based programming framework that supports the processing of large data sets in a distributed computing environment.

Page 25: Introduction to Dig Data& Hadoop

How is Big Data being handled?

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How is Big Data being handled?

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How we can get start with BIG DATA?!

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Thank you