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The Next Frontier for Innovation, Competition and Productivity
• ‘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
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
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
Applications for Big Data Analytics
Homeland Security
FinanceSmarter Healthcare
Multi-channel sales
Telecom
Manufacturing
Traffic Control
Trading Analytics Fraud and Risk
Log Analysis
Search Quality
Retail: Churn, NBO
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
Market Size
Source: Wikibon Taming Big Data
By 2015 4.4 million IT jobs in Big Data ; 1.9 million is in US itself
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
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.
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
Thank you 
Big data ppt

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Big data ppt

  • 1. The Next Frontier for Innovation, Competition and Productivity
  • 2.
  • 3. • ‘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
  • 4.
  • 5. 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
  • 6. 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
  • 7. Applications for Big Data Analytics Homeland Security FinanceSmarter Healthcare Multi-channel sales Telecom Manufacturing Traffic Control Trading Analytics Fraud and Risk Log Analysis Search Quality Retail: Churn, NBO
  • 8. 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
  • 9. Market Size Source: Wikibon Taming Big Data By 2015 4.4 million IT jobs in Big Data ; 1.9 million is in US itself
  • 10. 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
  • 11. 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.
  • 12.
  • 13.
  • 14. 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

Editor's Notes

  1. ICP : acco. to IBM
  2. Acco.to IBM
  3. Explain well. Quote practical examples
  4. NoSQL : approach to data management and database design that's useful for very large sets of distributed data.   Hadoop: free, Java-based programming framework that supports the processing of large data sets in a distributed computing environment Map Reduce: software framework that allows developers to write programs that process massive amounts of unstructured data in parallel across a distributed cluster of processor s or stand-alone computers. Map, a function that parcels out work to different nodes in the distributed cluster. Reduce, another function that collates the work and resolves the results into a single value.
  5. No need to explain Mention some company names