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Using the Cloud to Unleash the Potential of Big Data

Using the Cloud to Unleash the Potential of Big Data. By Lakshman Bulusu Consultant, Compunnel. Big Data Characteristics. Big Data includes structured, semi-structured, and unstructured data across multiple sources

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Using the Cloud to Unleash the Potential of Big Data

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  1. Using the Cloud to Unleash the Potential of Big Data By Lakshman Bulusu Consultant, Compunnel

  2. Big Data Characteristics • Big Data includes structured, semi-structured, and unstructured data across multiple sources • Six factors that matter – volume, variety, velocity, validity, virtualization, and value • From the typewriter to Twitter and everything in between, all consumer data is Big Data – random in nature and requiring presumptive analysis • Search and Discovery is a key requirement of enterprises as they navigate through huge volumes of Big Data.

  3. Why Cloud • Delivers scale-out methodology for deployment of a unified platform from data to decisions – easy and efficient • Enables Big Data analysis, intelligence, and (new) analytics to fit into existing data environments with lower TCO and faster time to value • The key here is a unified platform for Big Data and all other data – best-fit cloud based solution – for high availability in the cloud and advanced analytics for All-Data-as-a-Service

  4. Big Data and Cloud • Technologies that work • Cloud-based Self-Service Analytics that are customized Data-as-a-Service solutions based on lines of business – that let business analysts define and derive their own individualized Big Data initiatives • Cloud Platform-as-a-Service that processes Big Data and all other data in a hybrid cloud in right time (from definition to storage to transformation to integration) and pipelines it to a Business Analytics platform for customer-facing analysis and visualization

  5. Big Data and Cloud contd…. • Enterprise Search involving Big Data can scale to large proportions by using new or existing data discovery techniques, text analytics, and embedded search engines in the cloud on an as-is and as-needed basis. • A cloud-based BYOD (Bring-Your-Own-Device) and multi-device connectivity solution can enable anytime-anywhere-anyone access to Big Data and its analysis by way of an authenticated mobile delivery platform • And last but not the least, Cloud enables an easy and economic Unified Data Access solution for both enterprises and SMB’s alike as social, mobile, and enterprise converge in the cloud

  6. Cloud and Big Data in the Industry • AWS (Amazon Web Services) (https://aws.amazon.com/big-data/) • Treasure Data (www.treasuredata.com) • Gazzang (www.gazzang.com) • IBM Business Analytics in the Cloud • Oracle RightNow Analytics Cloud Service

  7. Future Directions • Going beyond BI - Customer Behavioral Analytics – anytime, anywhere • Zero-coding based Big Data Analytics in the Cloud • Big Data Discovery in the Cloud for Business Analytics

  8. References • “Open Source Data Warehousing and Business Intelligence” by Lakshman Bulusu, CRC Press, August 2012 • Gartner’s Cool Vendors in Big Data Report, 2014 • Cloud Analytics –using cloud based services to services to analyze big data by David Parsons www.slideshare.net/dparsonsnz/cloud-analytics

  9. Contact Details Lakshman Bulusu, Compunnel Software Group Inc. balakshman@gmail.com lbulusu@compunnel.com

  10. Thank You! THANK YOU FOR COMING!

  11. Questions ?

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