Doug Laney defined big data in 2001. More data leads to more accurate analysis and better decision making, resulting in greater efficiencies. Big data is characterized by large volumes from various sources like social media, sensors, and scientific data. Technologies like Hadoop, AWS, and BigQuery are used to handle big data. Many organizations see big data as an opportunity, and 88% plan to invest in big data solutions. MIT offers training programs in big data developers, administrators, and analysts.

1. Big Data
Big Data Academy
MIT Aurangabad
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3. industry analyst
“Doug
Laney”
defined Big
Data
in 2001
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4. Why Big Data
More data leads to more accurate
analysis
more accurate analysis leads to
more confident decision making
better decisions mean greater
operational efficiencies, cost
reductions and reduced risk.
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5. Big Data explosion
Retailer databases,
logistics, financial & health care data,
social media ( linkedin, facebook, twitter, youtube ),
vision recognition, Internet of Things,
New forms of scientific data
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6. Big Data Characteristics
Traditional Data :
Documents, Finances,
Stock records,
Personnel Files
Big Data:
Photographs, Video & Audio, 3D models,
simulations, Location Data
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7. Big Data Technologies
Apache Hadoop, HDFS, MapReduce
Google BigQuery
NetApp open solution for hadoop
Amazon Web Services ( AWS)
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9. Big Data
opportunities
IBM Big Data platform,
Oracle Big Data Appliance,
McKinsey Global Institute Report - Big Data :
The next frontier for Innovation, Competition and Productivity ,
U.S. government commits big money to “Big Data”
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10. 88% organizations see Big Data
as an Opportunity.
Are you in ?
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MIT Solutions for Big Data
learning

11. Developing next generation Leaders in Big Data
MIT Big Data Academy offers the global training programs:
Big Data Developer
Big Data Administrator
Big Data Analyst
CONTACT for one-day hands-on workshop
Prof Prashant Band | Big Data Administrator | MIT | Aurangabad | email: prashant.band@mit.asia
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12. VIDEOS
data.gov --- Chief Data Scientist
https://www.youtube.com/watch?v=3_1reLdh5xw
Big Data - explained
https://www.youtube.com/watch?v=7D1CQ_LOizA

13. THANKS
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