Big Data
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Transcript of Big Data
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• ‘Big Data’ is similar to ‘small data’, but bigger
•…but having data bigger it requires different approaches: • Techniques, tools and architecture
•…with an aim to solve new problems • …or old problems in a better way
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Volume
• Data quantity
Velocity
• Data Speed
Variety
• Data Types
Veracity
• Messiness
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Why Big Data
• Key enablers of appearance and growth of Big Data are
–Increase of storage capacities –Increase of processing power –Availability of data
–Every day we create 2.5 quintillion bytes of data; 90% of the data in the world today has been created in the last two years alone
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Big Data Analytics • Examining large amount of data
• Appropriate information
• Identification of hidden patterns, unknown correlations
• Competitive advantage
• Better business decisions: strategic and operational
• Effective marketing, customer satisfaction, increased revenue
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Applications for Big Data Analytics
Homeland Security
Finance Smarter Healthcare Multi-channel
sales
Telecom
Manufacturing
Traffic Control
Trading Analytics Fraud and Risk
Log Analysis
Search Quality
Retail: Churn, NBO
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Healthcare
• 80% of medical data is unstructured and is clinically relevant
• Data resides in multiple places like individual EMRs, lab and imaging systems, physician notes, medical correspondence, claims etc
• Leveraging Big Data • Build sustainable healthcare systems
• Collaborate to improve care and outcomes
• Increase access to healthcare
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Market Size
Source: Wikibon Taming Big Data
By 2015 4.4 million IT jobs in Big Data ; 1.9 million is in US itself
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India – Big Data
• Gaining attraction
• Huge market opportunities for IT services (82.9% of revenues) and analytics firms (17.1 % )
• Current market size is $200 million. By 2015 $1 billion
• The opportunity for Indian service providers lies in offering services around Big Data implementation and analytics for global multinationals
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India will require a minimum of 1 lakh data scientists in the next couple of years
in addition to data analysts and data managers to support the Big Data space.
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NoSQL : non-relational or at least non-SQL database
solutions such as HBase (also a part of the Hadoop
ecosystem), Cassandra, MongoDB, Riak, CouchDB, and
many others.
Hadoop: It is an ecosystem of software packages,
including MapReduce, HDFS, and a whole host of other
software packages
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Thank you
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