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• Big Data may well be the
Next Big Thing in the IT
world.
• Big data burst upon the
scene in the first decade
of the 21st century.
The first organizations to embrace it
were online and startup firms. Firms
like Google, eBay, Linkedin, and
Facebook were built around big data
from beginning
What is Big data
• Big Data' is like 'small data', but bigger in
size
• but having data bigger it requires different
approaches: Techniques, tools and
architecture
• an aim to solve new problems or old
problems in a better way
Big Data generates value from the storage and
processing of very large quantities of digital information
that cannot be analyzed with traditional computing
techniques
Example:
• Walmart handles more than 1 million customer transactions every hour.
• Facebook handles 40 billion photos from its user base.
• Decoding the human genome originally took 10years to process; now it can
be achieved in one week.
Volume
- refers to the vast amount
of data generated and
collected from various
sources.
Velocity
- refers to the
speed at which
data is generated,
collected, and
processed
Variety
- refers to the
different types
and sources of
data available
Veracity
- refers to the
quality and
reliability of the
data
Value
- refers to the ability to
derive meaningful
insights, knowledge,
and actionable
outcomes from the data.
5 Vs of Big Data
How Big Data works?
1. Integrate
2. Manage
3. Analyze
1. Data-driven decision making
2. Improved customer insights
3. Enhanced operational efficiency
4. Innovation and new business
opportunities
5. Competitive advantage
1. Data privacy and security concerns
2. Complexity and scalability challenges
3. Quality and reliability issues
4. Costs and resource equipment
5. Ethical implications
Big data refers to the massive volume, variety,
and velocity of data generated from various
sources. By analyzing this data, organizations
can gain valuable insights to make informed
decisions, enhance operations, and drive
innovation.
A powerpoint presentation for the topic AST_Emerging-Tech-BIG-DATA

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A powerpoint presentation for the topic AST_Emerging-Tech-BIG-DATA

  • 1.
  • 2. • Big Data may well be the Next Big Thing in the IT world. • Big data burst upon the scene in the first decade of the 21st century. The first organizations to embrace it were online and startup firms. Firms like Google, eBay, Linkedin, and Facebook were built around big data from beginning
  • 3. What is Big data • Big Data' is like 'small data', but bigger in size • but having data bigger it requires different approaches: Techniques, tools and architecture • an aim to solve new problems or old problems in a better way
  • 4. Big Data generates value from the storage and processing of very large quantities of digital information that cannot be analyzed with traditional computing techniques
  • 5. Example: • Walmart handles more than 1 million customer transactions every hour. • Facebook handles 40 billion photos from its user base. • Decoding the human genome originally took 10years to process; now it can be achieved in one week.
  • 6. Volume - refers to the vast amount of data generated and collected from various sources. Velocity - refers to the speed at which data is generated, collected, and processed Variety - refers to the different types and sources of data available Veracity - refers to the quality and reliability of the data Value - refers to the ability to derive meaningful insights, knowledge, and actionable outcomes from the data. 5 Vs of Big Data
  • 7. How Big Data works? 1. Integrate 2. Manage 3. Analyze
  • 8.
  • 9. 1. Data-driven decision making 2. Improved customer insights 3. Enhanced operational efficiency 4. Innovation and new business opportunities 5. Competitive advantage
  • 10. 1. Data privacy and security concerns 2. Complexity and scalability challenges 3. Quality and reliability issues 4. Costs and resource equipment 5. Ethical implications
  • 11. Big data refers to the massive volume, variety, and velocity of data generated from various sources. By analyzing this data, organizations can gain valuable insights to make informed decisions, enhance operations, and drive innovation.