Deploy Big Data solutions Rapidly in Cloud through Harbinger’s ABC model

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Today, businesses are grappling with huge volumes of data. Building capabilities to process/analyze data and generate insights, through Big Data solutions, is becoming a key differentiator for them. And developing such a competitive advantage using traditional models takes time and defeats its purpose.

Leveraging Cloud infrastructure and Agile development methodologies, businesses can develop and deploy their Big Data solutions rapidly and cost efficiently.

Join us for an engaging and interactive webinar on “Deploy Big Data solutions Rapidly in Cloud through Harbinger’s ABC model (Agile-Big Data-Cloud)” on 15th Jan 2014.This webinar will present Harbinger’s ABC model that can help organizations in overcoming some of the challenges they face in building Big Data solutions.

The webinar will discuss:
> The rising business need for Big Data solutions
> Key considerations in designing Big Data solutions (V3: Volume-Variety-Velocity)
> Harbinger’s ABC model and its relevance in the current context
> Real world business scenarios and solutions though ABC model

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Deploy Big Data solutions Rapidly in Cloud through Harbinger’s ABC model

  1. 1. Welcome to the Webinar Deploy Big Data Solutions Rapidly in Cloud through Harbinger’s ABC Model by Harbinger Systems
  2. 2. Panellists Dr. Prashant Khambekar Umesh Kanade Vice President Delivery General Manager Technology Solutions Dr. Asheesh Choksi Solutions Architect 2
  3. 3. Agenda • Big Data Problem Space • Harbinger ABC Model • Case Studies • Q&A 3
  4. 4. Big Data Paradigm 4
  5. 5. Manageable Data Variety Velocity RDBMS system for data storage Implementation of Business logic by Application server Business features are rendered by Request/Response model Volume 5
  6. 6. Big Data Variety Velocity Volume 6
  7. 7. ABC Model 7
  8. 8. Harbinger’s ABC Learning Model Big Data A-B-C Learning Agile Cloud 8
  9. 9. ABC Iteration Model 9
  10. 10. Case 1 Volume Space 10
  11. 11. Case 1 - Volume Space : Business Challenges • Data maintained by Legacy system is not queriable • Searching for information is becoming pain area as the data size is growing • Business wants to connect operational, clinical and financial properties of each record • App should support interoperability from multiple platforms (mobile devices, desktop OS …) 11
  12. 12. Case 1 – ABC in Volume Space Data Volume ETL Hadoop DFS Search Multiple Business needs evolving over time AWS EMR 12
  13. 13. Case 1 - Volume Space ETL Flat Files, Feeds Name Node Secondary Name Node Data Nodes Hadoop API Map Reduce Results 13
  14. 14. Case 1 – Volume Space Scaling Hadoop distributed File System • Map Reduce Jobs for each type of query Search Solr based indexing • De-identification of sensitive information (HIPAA compliance) • Relevance search ETL Data migration from Legacy system • Custom ETL, Cleaning and Validation of records 14
  15. 15. Case 2 Velocity Space 15
  16. 16. Case 2 - Velocity Space: Business Challenges Users Bet or Bid on Certain Resources Sport Events Live Show on TV… Application Should Synchronize Thousands of Users in Real-Time Application Usage Spikes with Popular Events 16
  17. 17. ABC in Velocity Space Transaction Velocity Mongo DB Redis Evolving Business Requirements Tech POCs AWS EC2 Real time resource scale up/down 17
  18. 18. Case 2 - Velocity Space Notifications Node JS, Socket IO • Dynamic Synchronization • Cross browser (HTML 5-based) Extensibility Grails, MVC, REST • Efficient Development • Support for Mobile 18
  19. 19. Case 3 Variety Space 19
  20. 20. Case 3 - Variety Space: Business Challenges Relationships: Structured and un-structured attributes Recommendations: Connections and preferences and Discovery Data Variety: Traditional design approach could be extremely complex 20
  21. 21. Case 3 – Variety Space Data Variety Orient DB, PostgreSQL Graph Structures and Recommendation Engine Weekly Builds Synchronization with Business AWS EC2 Scalability, Multi-tenancy Auto-Scaling, Separate Schema for accounts 21
  22. 22. Case 3 – Variety Space Multi-tenancy Cloud + PostgreSQL • Supports Schemas for Multi-tenancy Productivity RoR, Phusion Passenger Server • Developer Productivity • Resources exposed with REST APIs Responsive D3, SVG, VivaGraph • Renders scalable vector images in modern browsers 22
  23. 23. Summary 23
  24. 24. Solution Space Variety Key Value Store (NoSQL) Document based or Graph database Velocity In memory Database Push (WebSocket) Volume Map Reduce (Hadoop) 24
  25. 25. A-B-C Model Review Structured, Unstructured Data Volume, Velocity, Variety Analytics Frequent Builds Validations/POCs Re-alignment with business App Complexity Resource Scale-up/down Platform Services (Security, Backup, Metering) 25
  26. 26. Q&A 26
  27. 27. Thank You! Visit us at: www.harbinger-systems.com Write to us at: hsplinfo@harbingergroup.com Blog: blog.harbinger-systems.com Twitter: twitter.com/HarbingerSys (@HarbingerSys) Slideshare: slideshare.net/hsplmkting Facebook: facebook.com/harbingersys LinkedIn: linkedin.com/company/382306 27

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