BIG DATA INTRODUCTION By Professionalguru
• ‘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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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 http://professional-guru.com
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 http://professional-guru.com
Applications for Big Data Analytics Smarter Healthcare
Homeland Security
Manufacturing
Multi-channel sales
Traffic Control
Trading Analytics
Finance
Log Analysis
Telecom
Search Quality
Fraud and Risk
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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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 http://professional-guru.com
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. http://professional-guru.com
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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 ď Š