Your SlideShare is downloading. ×
TCS Innovation Forum 2012 - Kitenga
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×

Introducing the official SlideShare app

Stunning, full-screen experience for iPhone and Android

Text the download link to your phone

Standard text messaging rates apply

TCS Innovation Forum 2012 - Kitenga

747
views

Published on

TCS Innovation Forum 2012 - Kitenga

TCS Innovation Forum 2012 - Kitenga

Published in: Technology, Education

0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total Views
747
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
0
Comments
0
Likes
1
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. REVOLUTIONARY BIG DATA INSIGHT ENGINE Anil Uberoi, Co-Founder & CEO www.kitenga.com 510.507.3399 anil@kitenga.com Kitenga: Maori, n. A perception; A view
  • 2. KITENGA BIG DATA ANALYTICS PLATFORM First and only “Big Data” content analytics platform with integrated search, information modeling & visualization An entirely new kind of Big Data Insight Engine © 2012 Kitenga Proprietary 2
  • 3. THE PROBLEM: INFORMATION OVERLOAD 3rd Party (Licensed) Public data Data (Web,news, blogsphere, social media) Internal Data (Enterprise data) Unstructured Data Structured Data © 2012 Kitenga Proprietary
  • 4. BIG DATA= MORE THAN JUST VOLUME Volume Newer Analytics DBs Kitenga Traditional DB-based BI Transform Multi-dimensional Velocity Big Data into Variety Actionable Intelligence © 2012 Kitenga Proprietary 4
  • 5. THE SOLUTION © 2012 Kitenga Proprietary 5
  • 6. BIG DATA ( ) LANDSCAPE Solution Oriented BI Solutions Karmasphere Analyst Aster Data/Teradata GreenPlum/EMC Datameer Vertica/HP VoltDB… -based Solutions (Analytics DBs) Hadoop Connectors Hadoop Connectors Karmasphere, Javamation… (Dev tools) Cloudera, EMC, MapR, IBM, Hortonworks… DistributionsProgrammer Oriented Traditional Unstructured Structured Big Data & RDBMS Content © 2012 Kitenga Proprietary Analytics
  • 7. KITENGAS UNIQUENESS Unstructured “Big Data” content analytics  Volume, variety/complexity, and velocity  In addition to structured(DB) AND semi-structured data (log files) Business user  Designed for non-programming/ information analyst  Interactive information modeling and visualization Computational linguistics  Machine learning, NLP, multi-lingual text analytics Two (Big Data related) US Patents filed © 2012 Kitenga Proprietary 7
  • 8. KITENGA SWEET SPOT Need to exploit/monetize diverse content  Unstructured, semi/structured content  More than traditional BI on structured data Need to reduce raw data-to-insight latency  Sophisticated/ad-hoc content analytics for non-programmer analysts Big Data = Volume*Variety *Velocity © 2012 Kitenga Proprietary
  • 9. Kitenga Analyst Kitenga Kitenga ZettaViz ZettaSearch Visualize, Model, Facetted Search, Interact Visualization Kitenga Analytical ZettaVox Analytical Producer Crawl, Extract, NLP, Consumer(Information Analyst) Machine Learning, (Business Users) Transform, Index © 2012 © 2011 Proprietary Kitenga Kitenga Proprietary
  • 10. BIG DATA ANALYSIS Transform Big Data into Actionable Intelligence  Aggregate  Count  Extract  Transform  Chart  Graph  Model  Visualize  Search  Predict © 2012 Kitenga Proprietary 10
  • 11. UNDER THE HOODCritical elements include  Natural Language Processing  Computational Linguistics  Machine Learning  Document format cracking  Segmentation  Tokenization  Lemmatization  Parts-of-speech tagging  Gazetteer lookup .  Initial pattern recognition  Pattern grouping  Group disambiguation  Etc. © 2012 Kitenga Proprietary 11
  • 12. NEXT-GEN BUSINESS INTELLIGENCE Source: James Kobielus, Feb 23,2012 Senior analyst for data warehousing at Forrester Research. © 2012 Kitenga Proprietary
  • 13. NEXT-GEN BUSINESS INTELLIGENCE Kitenga √ √ √ √ √ √ √ √ Source: James Kobielus, Feb 23,2012 Senior analyst for data warehousing at Forrester Research. © 2012 Kitenga Proprietary
  • 14. .CUSTOMER USE CASES – LIVE DEMOSNext-gen Business Intelligence – in action