SlideShare a Scribd company logo
THINK DIFFERENT, THINK SIGNAL PROCESSING:
          APPROACHES TO REAL-TIME NETWORK DATA

                      SPEAKER: Anukool Lakhina
                               Founder and CEO
                               Guavus


Monday, April 1, 13
Monday, April 1, 13
10	
  Years	
  Before	
  Big	
  Data




Monday, April 1, 13
1	
  Hour,	
  1	
  Site,	
  1	
  TB




Monday, April 1, 13
Package	
  Switched	
  Networking




Monday, April 1, 13
Before	
  “Data	
  Scientists”	
  Became	
  Sexy




Monday, April 1, 13
Insight!
                      Bank	
  of	
  America	
  Hacked!




Monday, April 1, 13
Insight!
                      Bank	
  of	
  America	
  Hacked!


                              (Yesterday)

Monday, April 1, 13
• Founded	
  2006,	
  400+	
  people
         • Global	
  Offices	
  –	
  US,	
  UK,	
  India,	
  Singapore,	
  Montreal
         • Proven,	
  large	
  scale	
  deployments:
            § 3	
  of	
  the	
  top	
  4	
  tier-­‐1	
  mobile	
  operators	
  in	
  NA
            § 2	
  of	
  the	
  top	
  3	
  backbone	
  carriers	
  in	
  US




Monday, April 1, 13
Automating	
  the	
  “Fedex	
  Model”	
  Requires	
  a	
  
                                New	
  Data	
  Fabric




Monday, April 1, 13
INFORMATION
                                                                                             DEVICES & NETWORKS

                                                         GUAVUS DATA FABRIC

                      Enterprise
                      Apps




                      Databases




                      Data
                                                 Data	
  at	
  Rest   Data	
  in	
  Motion
                      Warehouses




            • At	
  Scale:	
  Petabytes	
  per	
  day,	
  Trillion	
  Objects	
  
            • Distributed:	
  Move	
  Compute	
  to	
  the	
  Edge
            • Holistic:	
  	
  Ingestion	
  through	
  Visualization

Monday, April 1, 13
Value	
  is	
  in	
  Business	
  Aware	
  Applications




                      MARKETING   CUSTOMER    NETWORK     MONETIZATION
                      ANALYTICS     CARE     OPERATIONS




Monday, April 1, 13
Dynamic	
  Decisioning	
  Dashboards




Monday, April 1, 13
REAL	
  WORLD	
  CASE	
  STUDIES




Monday, April 1, 13
1	
  App,	
  10%	
  of	
  NYC	
  Capacity	
  =	
  	
  $100M




Monday, April 1, 13
50%	
  of	
  calls	
  to	
  Care,	
  	
  $50M/year




Monday, April 1, 13
Towards	
  Timely,	
  Targeted	
  &	
  
                                            Automated	
  Actions


       Continuously	
  Measure.                              Con$nuous	
  
                                                                                                     Continuously	
  Analyze.
         •Customers                                          Analy$cs	
  &	
                          •Change	
  in	
  usage,	
  devices,	
  location,	
  
         •Devices
                                                              Dynamic                                  applications,	
  …
                                                              Response
         •Content	
  &	
  Applications
         •Network	
  Assets




                                                  Timely	
  Action.	
  Timely,	
  Targeted	
  Response
                                                  •Proactive	
  stimulus-­‐based	
  response	
  to	
  changes

                                                                                                                                                         15

Monday, April 1, 13
Monday, April 1, 13

More Related Content

Similar to THINK DIFFERENT, THINK SIGNAL PROCESSING: APPROACHES TO REAL-TIME NETWORK DATA from Structure:Data 2013

COMPLEMENTING HADOOP WITH REAL-TIME DATA ANALYSIS from Structure:Data 2013
COMPLEMENTING HADOOP WITH REAL-TIME DATA ANALYSIS from Structure:Data 2013COMPLEMENTING HADOOP WITH REAL-TIME DATA ANALYSIS from Structure:Data 2013
COMPLEMENTING HADOOP WITH REAL-TIME DATA ANALYSIS from Structure:Data 2013
Gigaom
 
HYPERCONNECTED BIG DATA: HOW SDN WILL SHAPE SHARING ECOSYSTEMS from Structure...
HYPERCONNECTED BIG DATA: HOW SDN WILL SHAPE SHARING ECOSYSTEMS from Structure...HYPERCONNECTED BIG DATA: HOW SDN WILL SHAPE SHARING ECOSYSTEMS from Structure...
HYPERCONNECTED BIG DATA: HOW SDN WILL SHAPE SHARING ECOSYSTEMS from Structure...
Gigaom
 
The architecture of data analytics PaaS on AWS
The architecture of data analytics PaaS on AWSThe architecture of data analytics PaaS on AWS
The architecture of data analytics PaaS on AWS
Treasure Data, Inc.
 
Practical Applications of Visual Analytics
Practical Applications of Visual AnalyticsPractical Applications of Visual Analytics
Practical Applications of Visual Analytics
Teradata Aster
 
Are you ready for BIG DATA?
Are you ready for BIG DATA?Are you ready for BIG DATA?
Are you ready for BIG DATA?
Putchong Uthayopas
 
Democratizing Data Science: Balancing Flexibility and Usability for Scientifi...
Democratizing Data Science: Balancing Flexibility and Usability for Scientifi...Democratizing Data Science: Balancing Flexibility and Usability for Scientifi...
Democratizing Data Science: Balancing Flexibility and Usability for Scientifi...
PerkinElmer Informatics
 
Tools & Measurements
Tools & MeasurementsTools & Measurements
Tools & Measurements
RIPE NCC
 
Data analytics introduction
Data analytics introductionData analytics introduction
Data analytics introduction
amiyadash
 
Sgcp14dunlea
Sgcp14dunleaSgcp14dunlea
Sgcp14dunlea
Justin Hayward
 
Splunk at Expedia - Gartner Symposium
Splunk at Expedia - Gartner SymposiumSplunk at Expedia - Gartner Symposium
Splunk at Expedia - Gartner SymposiumEddie Satterly
 
Web Motion: Motion Detection on the Web
Web Motion: Motion Detection on the WebWeb Motion: Motion Detection on the Web
Web Motion: Motion Detection on the Web
fisherwebdev
 
Scaling the Cloud - Cloud Security
Scaling the Cloud - Cloud SecurityScaling the Cloud - Cloud Security
Scaling the Cloud - Cloud Security
Bill Burns
 
DRIVE Conference 2015, Seattle
DRIVE Conference 2015, SeattleDRIVE Conference 2015, Seattle
DRIVE Conference 2015, Seattle
Daniel Murray
 
Big data ppt
Big data pptBig data ppt
Big data ppt
Deepika ParthaSarathy
 
Analysis of business oriented mobile media
Analysis of business oriented mobile mediaAnalysis of business oriented mobile media
Analysis of business oriented mobile media
AFF Group
 
Data Governance: Keystone of Information Management Initiatives
Data Governance: Keystone of Information Management InitiativesData Governance: Keystone of Information Management Initiatives
Data Governance: Keystone of Information Management Initiatives
Alan McSweeney
 
MapR LucidWorks Joint Webinar 121211
MapR LucidWorks Joint Webinar 121211MapR LucidWorks Joint Webinar 121211
MapR LucidWorks Joint Webinar 121211MapR Technologies
 
Rapid mobile phone based surveys (Scott Chaplowe, IFRC)
Rapid mobile phone based surveys (Scott Chaplowe, IFRC)Rapid mobile phone based surveys (Scott Chaplowe, IFRC)
Rapid mobile phone based surveys (Scott Chaplowe, IFRC)ALNAP
 
Query at Speed of Thought
Query at Speed of ThoughtQuery at Speed of Thought
Query at Speed of Thought
MISNet - Integeo SE Asia
 

Similar to THINK DIFFERENT, THINK SIGNAL PROCESSING: APPROACHES TO REAL-TIME NETWORK DATA from Structure:Data 2013 (20)

COMPLEMENTING HADOOP WITH REAL-TIME DATA ANALYSIS from Structure:Data 2013
COMPLEMENTING HADOOP WITH REAL-TIME DATA ANALYSIS from Structure:Data 2013COMPLEMENTING HADOOP WITH REAL-TIME DATA ANALYSIS from Structure:Data 2013
COMPLEMENTING HADOOP WITH REAL-TIME DATA ANALYSIS from Structure:Data 2013
 
HYPERCONNECTED BIG DATA: HOW SDN WILL SHAPE SHARING ECOSYSTEMS from Structure...
HYPERCONNECTED BIG DATA: HOW SDN WILL SHAPE SHARING ECOSYSTEMS from Structure...HYPERCONNECTED BIG DATA: HOW SDN WILL SHAPE SHARING ECOSYSTEMS from Structure...
HYPERCONNECTED BIG DATA: HOW SDN WILL SHAPE SHARING ECOSYSTEMS from Structure...
 
The architecture of data analytics PaaS on AWS
The architecture of data analytics PaaS on AWSThe architecture of data analytics PaaS on AWS
The architecture of data analytics PaaS on AWS
 
Practical Applications of Visual Analytics
Practical Applications of Visual AnalyticsPractical Applications of Visual Analytics
Practical Applications of Visual Analytics
 
Are you ready for BIG DATA?
Are you ready for BIG DATA?Are you ready for BIG DATA?
Are you ready for BIG DATA?
 
Democratizing Data Science: Balancing Flexibility and Usability for Scientifi...
Democratizing Data Science: Balancing Flexibility and Usability for Scientifi...Democratizing Data Science: Balancing Flexibility and Usability for Scientifi...
Democratizing Data Science: Balancing Flexibility and Usability for Scientifi...
 
Tools & Measurements
Tools & MeasurementsTools & Measurements
Tools & Measurements
 
Data analytics introduction
Data analytics introductionData analytics introduction
Data analytics introduction
 
Sgcp14dunlea
Sgcp14dunleaSgcp14dunlea
Sgcp14dunlea
 
Splunk at Expedia - Gartner Symposium
Splunk at Expedia - Gartner SymposiumSplunk at Expedia - Gartner Symposium
Splunk at Expedia - Gartner Symposium
 
Web Motion: Motion Detection on the Web
Web Motion: Motion Detection on the WebWeb Motion: Motion Detection on the Web
Web Motion: Motion Detection on the Web
 
Big data ankita1
Big data ankita1Big data ankita1
Big data ankita1
 
Scaling the Cloud - Cloud Security
Scaling the Cloud - Cloud SecurityScaling the Cloud - Cloud Security
Scaling the Cloud - Cloud Security
 
DRIVE Conference 2015, Seattle
DRIVE Conference 2015, SeattleDRIVE Conference 2015, Seattle
DRIVE Conference 2015, Seattle
 
Big data ppt
Big data pptBig data ppt
Big data ppt
 
Analysis of business oriented mobile media
Analysis of business oriented mobile mediaAnalysis of business oriented mobile media
Analysis of business oriented mobile media
 
Data Governance: Keystone of Information Management Initiatives
Data Governance: Keystone of Information Management InitiativesData Governance: Keystone of Information Management Initiatives
Data Governance: Keystone of Information Management Initiatives
 
MapR LucidWorks Joint Webinar 121211
MapR LucidWorks Joint Webinar 121211MapR LucidWorks Joint Webinar 121211
MapR LucidWorks Joint Webinar 121211
 
Rapid mobile phone based surveys (Scott Chaplowe, IFRC)
Rapid mobile phone based surveys (Scott Chaplowe, IFRC)Rapid mobile phone based surveys (Scott Chaplowe, IFRC)
Rapid mobile phone based surveys (Scott Chaplowe, IFRC)
 
Query at Speed of Thought
Query at Speed of ThoughtQuery at Speed of Thought
Query at Speed of Thought
 

More from Gigaom

Structure 2014 - The strategic value of the cloud - Joe Weinman
Structure 2014 - The strategic value of the cloud - Joe WeinmanStructure 2014 - The strategic value of the cloud - Joe Weinman
Structure 2014 - The strategic value of the cloud - Joe Weinman
Gigaom
 
Structure 2014 - The right and wrong way to scale - Rackspace
Structure 2014 - The right and wrong way to scale - RackspaceStructure 2014 - The right and wrong way to scale - Rackspace
Structure 2014 - The right and wrong way to scale - Rackspace
Gigaom
 
Structure 2014 - The future of cloud computing survey results
Structure 2014 - The future of cloud computing survey resultsStructure 2014 - The future of cloud computing survey results
Structure 2014 - The future of cloud computing survey results
Gigaom
 
Structure 2014 - Launchpad Competition
Structure 2014 - Launchpad CompetitionStructure 2014 - Launchpad Competition
Structure 2014 - Launchpad Competition
Gigaom
 
Structure 2014 - Disrupting the data center - Intel sponsor workshop
Structure 2014 - Disrupting the data center - Intel sponsor workshopStructure 2014 - Disrupting the data center - Intel sponsor workshop
Structure 2014 - Disrupting the data center - Intel sponsor workshop
Gigaom
 
Structure 2014 - Cloud trends - Battery
Structure 2014 - Cloud trends - BatteryStructure 2014 - Cloud trends - Battery
Structure 2014 - Cloud trends - Battery
Gigaom
 
Structure Data 2014: HOW MICRODATA CAN SAY A LOT ABOUT MACROECONOMICS, David ...
Structure Data 2014: HOW MICRODATA CAN SAY A LOT ABOUT MACROECONOMICS, David ...Structure Data 2014: HOW MICRODATA CAN SAY A LOT ABOUT MACROECONOMICS, David ...
Structure Data 2014: HOW MICRODATA CAN SAY A LOT ABOUT MACROECONOMICS, David ...
Gigaom
 
Structure Data 2014: QLIK SPONSOR WORKSHOP: ANALYTICS THE WAY NATURE INTENDED...
Structure Data 2014: QLIK SPONSOR WORKSHOP: ANALYTICS THE WAY NATURE INTENDED...Structure Data 2014: QLIK SPONSOR WORKSHOP: ANALYTICS THE WAY NATURE INTENDED...
Structure Data 2014: QLIK SPONSOR WORKSHOP: ANALYTICS THE WAY NATURE INTENDED...
Gigaom
 
Structure Data 2014: FIVE MYTHS ABOUT BIG DATA, Amit Bendov
Structure Data 2014: FIVE MYTHS ABOUT BIG DATA, Amit BendovStructure Data 2014: FIVE MYTHS ABOUT BIG DATA, Amit Bendov
Structure Data 2014: FIVE MYTHS ABOUT BIG DATA, Amit Bendov
Gigaom
 
Structure Data 2014: AMID BILLIONS OF METRICS, YOUR SOFTWARE IS TRYING TO TEL...
Structure Data 2014: AMID BILLIONS OF METRICS, YOUR SOFTWARE IS TRYING TO TEL...Structure Data 2014: AMID BILLIONS OF METRICS, YOUR SOFTWARE IS TRYING TO TEL...
Structure Data 2014: AMID BILLIONS OF METRICS, YOUR SOFTWARE IS TRYING TO TEL...
Gigaom
 
Structure Data 2014: SISENSE SPONSOR WORKSHOP: ON BEER, CHIPS AND DATA,
Structure Data 2014: SISENSE SPONSOR WORKSHOP: ON BEER, CHIPS AND DATA, Structure Data 2014: SISENSE SPONSOR WORKSHOP: ON BEER, CHIPS AND DATA,
Structure Data 2014: SISENSE SPONSOR WORKSHOP: ON BEER, CHIPS AND DATA,
Gigaom
 
Structure Data 2014: INVERTING 80/20: BEYOND BESPOKE BIG DATA, Ari Gesher
Structure Data 2014: INVERTING 80/20: BEYOND BESPOKE BIG DATA, Ari GesherStructure Data 2014: INVERTING 80/20: BEYOND BESPOKE BIG DATA, Ari Gesher
Structure Data 2014: INVERTING 80/20: BEYOND BESPOKE BIG DATA, Ari Gesher
Gigaom
 
Structure Data 2014: TRACKING A SOCCER GAME WITH BIG DATA, Chris Haddad
Structure Data 2014: TRACKING A SOCCER GAME WITH BIG DATA, Chris HaddadStructure Data 2014: TRACKING A SOCCER GAME WITH BIG DATA, Chris Haddad
Structure Data 2014: TRACKING A SOCCER GAME WITH BIG DATA, Chris Haddad
Gigaom
 
Structure Data 2014: TECH AGAINST HUMAN TRAFFICKING AND ILLICIT NETWORKS, Jus...
Structure Data 2014: TECH AGAINST HUMAN TRAFFICKING AND ILLICIT NETWORKS, Jus...Structure Data 2014: TECH AGAINST HUMAN TRAFFICKING AND ILLICIT NETWORKS, Jus...
Structure Data 2014: TECH AGAINST HUMAN TRAFFICKING AND ILLICIT NETWORKS, Jus...
Gigaom
 
Structure Data 2014: DATA DRIVEN DESIGN AT FORMULA ONE SPEED, Geoff McGrath
Structure Data 2014: DATA DRIVEN DESIGN AT FORMULA ONE SPEED, Geoff McGrathStructure Data 2014: DATA DRIVEN DESIGN AT FORMULA ONE SPEED, Geoff McGrath
Structure Data 2014: DATA DRIVEN DESIGN AT FORMULA ONE SPEED, Geoff McGrath
Gigaom
 
Structure Data 2014: IS VIDEO BIG DATA?, Steve Russell
Structure Data 2014: IS VIDEO BIG DATA?, Steve RussellStructure Data 2014: IS VIDEO BIG DATA?, Steve Russell
Structure Data 2014: IS VIDEO BIG DATA?, Steve Russell
Gigaom
 
Structure Data 2014: BIG DATA ANALYTICS RE-INVENTED, Ryan Waite
Structure Data 2014: BIG DATA ANALYTICS RE-INVENTED, Ryan WaiteStructure Data 2014: BIG DATA ANALYTICS RE-INVENTED, Ryan Waite
Structure Data 2014: BIG DATA ANALYTICS RE-INVENTED, Ryan Waite
Gigaom
 
How Data is Remaking E-commerce - from Roadmap 2013
How Data is Remaking E-commerce - from Roadmap 2013How Data is Remaking E-commerce - from Roadmap 2013
How Data is Remaking E-commerce - from Roadmap 2013
Gigaom
 
25 Favorite Experiences in Tech - from Roadmap 2013
25 Favorite Experiences in Tech - from Roadmap 201325 Favorite Experiences in Tech - from Roadmap 2013
25 Favorite Experiences in Tech - from Roadmap 2013
Gigaom
 
How Moore’s Law is Influencing Design - from Roadmap 2013
How Moore’s Law is Influencing Design - from Roadmap 2013How Moore’s Law is Influencing Design - from Roadmap 2013
How Moore’s Law is Influencing Design - from Roadmap 2013
Gigaom
 

More from Gigaom (20)

Structure 2014 - The strategic value of the cloud - Joe Weinman
Structure 2014 - The strategic value of the cloud - Joe WeinmanStructure 2014 - The strategic value of the cloud - Joe Weinman
Structure 2014 - The strategic value of the cloud - Joe Weinman
 
Structure 2014 - The right and wrong way to scale - Rackspace
Structure 2014 - The right and wrong way to scale - RackspaceStructure 2014 - The right and wrong way to scale - Rackspace
Structure 2014 - The right and wrong way to scale - Rackspace
 
Structure 2014 - The future of cloud computing survey results
Structure 2014 - The future of cloud computing survey resultsStructure 2014 - The future of cloud computing survey results
Structure 2014 - The future of cloud computing survey results
 
Structure 2014 - Launchpad Competition
Structure 2014 - Launchpad CompetitionStructure 2014 - Launchpad Competition
Structure 2014 - Launchpad Competition
 
Structure 2014 - Disrupting the data center - Intel sponsor workshop
Structure 2014 - Disrupting the data center - Intel sponsor workshopStructure 2014 - Disrupting the data center - Intel sponsor workshop
Structure 2014 - Disrupting the data center - Intel sponsor workshop
 
Structure 2014 - Cloud trends - Battery
Structure 2014 - Cloud trends - BatteryStructure 2014 - Cloud trends - Battery
Structure 2014 - Cloud trends - Battery
 
Structure Data 2014: HOW MICRODATA CAN SAY A LOT ABOUT MACROECONOMICS, David ...
Structure Data 2014: HOW MICRODATA CAN SAY A LOT ABOUT MACROECONOMICS, David ...Structure Data 2014: HOW MICRODATA CAN SAY A LOT ABOUT MACROECONOMICS, David ...
Structure Data 2014: HOW MICRODATA CAN SAY A LOT ABOUT MACROECONOMICS, David ...
 
Structure Data 2014: QLIK SPONSOR WORKSHOP: ANALYTICS THE WAY NATURE INTENDED...
Structure Data 2014: QLIK SPONSOR WORKSHOP: ANALYTICS THE WAY NATURE INTENDED...Structure Data 2014: QLIK SPONSOR WORKSHOP: ANALYTICS THE WAY NATURE INTENDED...
Structure Data 2014: QLIK SPONSOR WORKSHOP: ANALYTICS THE WAY NATURE INTENDED...
 
Structure Data 2014: FIVE MYTHS ABOUT BIG DATA, Amit Bendov
Structure Data 2014: FIVE MYTHS ABOUT BIG DATA, Amit BendovStructure Data 2014: FIVE MYTHS ABOUT BIG DATA, Amit Bendov
Structure Data 2014: FIVE MYTHS ABOUT BIG DATA, Amit Bendov
 
Structure Data 2014: AMID BILLIONS OF METRICS, YOUR SOFTWARE IS TRYING TO TEL...
Structure Data 2014: AMID BILLIONS OF METRICS, YOUR SOFTWARE IS TRYING TO TEL...Structure Data 2014: AMID BILLIONS OF METRICS, YOUR SOFTWARE IS TRYING TO TEL...
Structure Data 2014: AMID BILLIONS OF METRICS, YOUR SOFTWARE IS TRYING TO TEL...
 
Structure Data 2014: SISENSE SPONSOR WORKSHOP: ON BEER, CHIPS AND DATA,
Structure Data 2014: SISENSE SPONSOR WORKSHOP: ON BEER, CHIPS AND DATA, Structure Data 2014: SISENSE SPONSOR WORKSHOP: ON BEER, CHIPS AND DATA,
Structure Data 2014: SISENSE SPONSOR WORKSHOP: ON BEER, CHIPS AND DATA,
 
Structure Data 2014: INVERTING 80/20: BEYOND BESPOKE BIG DATA, Ari Gesher
Structure Data 2014: INVERTING 80/20: BEYOND BESPOKE BIG DATA, Ari GesherStructure Data 2014: INVERTING 80/20: BEYOND BESPOKE BIG DATA, Ari Gesher
Structure Data 2014: INVERTING 80/20: BEYOND BESPOKE BIG DATA, Ari Gesher
 
Structure Data 2014: TRACKING A SOCCER GAME WITH BIG DATA, Chris Haddad
Structure Data 2014: TRACKING A SOCCER GAME WITH BIG DATA, Chris HaddadStructure Data 2014: TRACKING A SOCCER GAME WITH BIG DATA, Chris Haddad
Structure Data 2014: TRACKING A SOCCER GAME WITH BIG DATA, Chris Haddad
 
Structure Data 2014: TECH AGAINST HUMAN TRAFFICKING AND ILLICIT NETWORKS, Jus...
Structure Data 2014: TECH AGAINST HUMAN TRAFFICKING AND ILLICIT NETWORKS, Jus...Structure Data 2014: TECH AGAINST HUMAN TRAFFICKING AND ILLICIT NETWORKS, Jus...
Structure Data 2014: TECH AGAINST HUMAN TRAFFICKING AND ILLICIT NETWORKS, Jus...
 
Structure Data 2014: DATA DRIVEN DESIGN AT FORMULA ONE SPEED, Geoff McGrath
Structure Data 2014: DATA DRIVEN DESIGN AT FORMULA ONE SPEED, Geoff McGrathStructure Data 2014: DATA DRIVEN DESIGN AT FORMULA ONE SPEED, Geoff McGrath
Structure Data 2014: DATA DRIVEN DESIGN AT FORMULA ONE SPEED, Geoff McGrath
 
Structure Data 2014: IS VIDEO BIG DATA?, Steve Russell
Structure Data 2014: IS VIDEO BIG DATA?, Steve RussellStructure Data 2014: IS VIDEO BIG DATA?, Steve Russell
Structure Data 2014: IS VIDEO BIG DATA?, Steve Russell
 
Structure Data 2014: BIG DATA ANALYTICS RE-INVENTED, Ryan Waite
Structure Data 2014: BIG DATA ANALYTICS RE-INVENTED, Ryan WaiteStructure Data 2014: BIG DATA ANALYTICS RE-INVENTED, Ryan Waite
Structure Data 2014: BIG DATA ANALYTICS RE-INVENTED, Ryan Waite
 
How Data is Remaking E-commerce - from Roadmap 2013
How Data is Remaking E-commerce - from Roadmap 2013How Data is Remaking E-commerce - from Roadmap 2013
How Data is Remaking E-commerce - from Roadmap 2013
 
25 Favorite Experiences in Tech - from Roadmap 2013
25 Favorite Experiences in Tech - from Roadmap 201325 Favorite Experiences in Tech - from Roadmap 2013
25 Favorite Experiences in Tech - from Roadmap 2013
 
How Moore’s Law is Influencing Design - from Roadmap 2013
How Moore’s Law is Influencing Design - from Roadmap 2013How Moore’s Law is Influencing Design - from Roadmap 2013
How Moore’s Law is Influencing Design - from Roadmap 2013
 

Recently uploaded

Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 daysPushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
Adtran
 
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
SOFTTECHHUB
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
Guy Korland
 
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
Sri Ambati
 
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdfFIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance
 
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfObservability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Paige Cruz
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
Jemma Hussein Allen
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
Kari Kakkonen
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
Aftab Hussain
 
Enhancing Performance with Globus and the Science DMZ
Enhancing Performance with Globus and the Science DMZEnhancing Performance with Globus and the Science DMZ
Enhancing Performance with Globus and the Science DMZ
Globus
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
DanBrown980551
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
James Anderson
 
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR EventsMonitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
Ana-Maria Mihalceanu
 
UiPath Community Day Dubai: AI at Work..
UiPath Community Day Dubai: AI at Work..UiPath Community Day Dubai: AI at Work..
UiPath Community Day Dubai: AI at Work..
UiPathCommunity
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
Kari Kakkonen
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
91mobiles
 
Introduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - CybersecurityIntroduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - Cybersecurity
mikeeftimakis1
 
Quantum Computing: Current Landscape and the Future Role of APIs
Quantum Computing: Current Landscape and the Future Role of APIsQuantum Computing: Current Landscape and the Future Role of APIs
Quantum Computing: Current Landscape and the Future Role of APIs
Vlad Stirbu
 
Free Complete Python - A step towards Data Science
Free Complete Python - A step towards Data ScienceFree Complete Python - A step towards Data Science
Free Complete Python - A step towards Data Science
RinaMondal9
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
Alan Dix
 

Recently uploaded (20)

Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 daysPushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
 
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
 
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
 
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdfFIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
 
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfObservability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
 
Enhancing Performance with Globus and the Science DMZ
Enhancing Performance with Globus and the Science DMZEnhancing Performance with Globus and the Science DMZ
Enhancing Performance with Globus and the Science DMZ
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
 
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR EventsMonitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
 
UiPath Community Day Dubai: AI at Work..
UiPath Community Day Dubai: AI at Work..UiPath Community Day Dubai: AI at Work..
UiPath Community Day Dubai: AI at Work..
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
 
Introduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - CybersecurityIntroduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - Cybersecurity
 
Quantum Computing: Current Landscape and the Future Role of APIs
Quantum Computing: Current Landscape and the Future Role of APIsQuantum Computing: Current Landscape and the Future Role of APIs
Quantum Computing: Current Landscape and the Future Role of APIs
 
Free Complete Python - A step towards Data Science
Free Complete Python - A step towards Data ScienceFree Complete Python - A step towards Data Science
Free Complete Python - A step towards Data Science
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
 

THINK DIFFERENT, THINK SIGNAL PROCESSING: APPROACHES TO REAL-TIME NETWORK DATA from Structure:Data 2013

  • 1. THINK DIFFERENT, THINK SIGNAL PROCESSING: APPROACHES TO REAL-TIME NETWORK DATA SPEAKER: Anukool Lakhina Founder and CEO Guavus Monday, April 1, 13
  • 3. 10  Years  Before  Big  Data Monday, April 1, 13
  • 4. 1  Hour,  1  Site,  1  TB Monday, April 1, 13
  • 6. Before  “Data  Scientists”  Became  Sexy Monday, April 1, 13
  • 7. Insight! Bank  of  America  Hacked! Monday, April 1, 13
  • 8. Insight! Bank  of  America  Hacked! (Yesterday) Monday, April 1, 13
  • 9. • Founded  2006,  400+  people • Global  Offices  –  US,  UK,  India,  Singapore,  Montreal • Proven,  large  scale  deployments: § 3  of  the  top  4  tier-­‐1  mobile  operators  in  NA § 2  of  the  top  3  backbone  carriers  in  US Monday, April 1, 13
  • 10. Automating  the  “Fedex  Model”  Requires  a   New  Data  Fabric Monday, April 1, 13
  • 11. INFORMATION DEVICES & NETWORKS GUAVUS DATA FABRIC Enterprise Apps Databases Data Data  at  Rest Data  in  Motion Warehouses • At  Scale:  Petabytes  per  day,  Trillion  Objects   • Distributed:  Move  Compute  to  the  Edge • Holistic:    Ingestion  through  Visualization Monday, April 1, 13
  • 12. Value  is  in  Business  Aware  Applications MARKETING CUSTOMER NETWORK MONETIZATION ANALYTICS CARE OPERATIONS Monday, April 1, 13
  • 14. REAL  WORLD  CASE  STUDIES Monday, April 1, 13
  • 15. 1  App,  10%  of  NYC  Capacity  =    $100M Monday, April 1, 13
  • 16. 50%  of  calls  to  Care,    $50M/year Monday, April 1, 13
  • 17. Towards  Timely,  Targeted  &   Automated  Actions Continuously  Measure. Con$nuous   Continuously  Analyze. •Customers Analy$cs  &   •Change  in  usage,  devices,  location,   •Devices Dynamic applications,  … Response •Content  &  Applications •Network  Assets Timely  Action.  Timely,  Targeted  Response •Proactive  stimulus-­‐based  response  to  changes 15 Monday, April 1, 13