Big data ppt

Big data ppt

• 1.
  The Next Frontierfor Innovation, Competition and Productivity
• 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
• 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 BigData 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% ofmedical 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: WikibonTaming Big Data By 2015 4.4 million IT jobs in Big Data ; 1.9 million is in US itself
• 10.
  India – BigData • 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 requirea 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.
• 14.
  NoSQL : non-relationalor 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
• 15.
  Thank you 