SlideShare a Scribd company logo
Democratizing
 BIG DATA
        Jeff Kelly
 Big Data Analyst, Wikibon
    wikibon.org/bigdata
Big Questions About
       BIG DATA
 What is New about BIG DATA?
 Why is BIG DATA Important?
 Why aren’t More Enterprises
 Practicing BIG DATA?
 What Will it Take to Spur
 Adoption and Democratize BIG DATA ?
Massive Data Growth




What is New about Big Data?
Desire to Transform
       Data    Knowledge




What is New about Big Data?
What’s the BIG
                  Problem?

                       VOLUME
                         TYPE
                        SPEED
            BIG DATA
What is New about Big Data?
What is NEW …
       Technology to Process,
          Store & Analyze

                      BIG DATA
     In a TIME-EFFICIENT and
        COST-EFFECTIVE Way
What is New about Big Data?
New Approaches to
                BIG DATA

   Hadoop is an open
   source framework
   for processing,
   storing and
   analyzing massive
   amounts of
   distributed, multi-
   structured data.



What is New about Big Data?
New Approaches to
                BIG DATA
                              Next Generation Data
                              Warehouses use
                              massively parallel
                              processing, columnar
                              architectures and data
                              compression to analyze
                              not-quite-so-massive
                              data in close to real-
                              time.




What is New about Big Data?
New Approaches to
                BIG DATA
   Multiple flavors of NoSQL
   [Not Only SQL] Databases
   emerging to support specific
   types of Multi-Structured
   Data and Real-Time Web
   Applications.




What is New about Big Data?
New Approaches to                BIG DATA
               Are …

   Complimentary
   NOT Competitive




                              Right Tool, Right Job

What is New about Big Data?
The Result?
   Enterprises Now Have The
    Technologies Needed to
             Turn
                       BIG DATA
     Into Actionable, Timely
            Insights.
What is New about Big Data?
So Why is BIG DATA Important?
          Process and Analyze ALL Your Data

                        Ask NEW Questions

                       Ask MORE Questions

                        Get ANSWERSFASTER

                      Get CLEARER Insight


    MAKE BETTER BUSINESS
          DECISIONS
Why is Big Data Important?
BIG DATA
   THE New, DEFINITIVE Source
    of COMPETITIVE ADVANTAGE
    Across ALL Industries.*
                             * Wikibon Big Data Manifesto, 2011




Why is Big Data Important?
BIG DATA In Action




Why is Big Data Important?
But … BIG DATA
            Adoption is Slow
   BIG DATA Technologies Difficult to
   Deploy, Manage and Use

                  Dearth of Skilled BIG DATA
           Practitioners and Data Scientists


   Enterprises Lack Right                          MINDSET   to
   Exploit BIG DATA


Why aren’t More Enterprises Practicing Big Data?
What Will It Take to …
                   DEMOCRATIZE



                          BIG DATA?
How Will We Democratize Big Data?
Democratizing BIG DATA
   NEEDED: TOOLS TO ABSTRACT AWAY COMPLEXITY


   DEPLOY                                        ANALYZE

ADMINISTER                                      VISUALIZE

   SECURE                                        AUTOMATE


                                    INTEGRATE

                                    PROCESS
                                    MANAGE
How Will We Democratize Big Data?
Democratizing BIG DATA

NEEDED: TOOLS TO ABSTRACT AWAY COMPLEXITY
Democratizing BIG DATA

   NEEDED: BIG DATA TRAINING AND EDUCATION

   BIG DATA
   INFRASTRUCTURE                       DATA SCIENCE



     ADVANCED                       BIG DATA PROCESSING &
     PREDICTIVE                               INTEGRATION
     ANALYTICS



How Will We Democratize Big Data?
Democratizing BIG DATA
NEEDED: BIG DATA TRAINING AND EDUCATION
Democratizing BIG DATA
NEEDED: A CHANGE OF MINDSET
Democratizing BIG DATA
NEEDED: A CHANGE OF MINDSET
  EXPERIMENTATION
      IMAGINATION                                Rinse
           COLLABORATION
               COMMUNICATION
                                                   &
                    WILLINGNESS TO FAIL         Repeat
                         PERSEVERENCE
                              STORYTELLING
                                    TRUST
                                      ACTION
                                     DATA-DRIVEN ENTERPRISE
How Will We Democratize Big Data?
THANK YOU
  Democratizing
   BIG DATA
      Jeff Kelly
   Big Data Analyst
        Wikibon

jeff.kelly@wikibon.com
    @jeffreyfkelly
 wikibon.org/bigdata

More Related Content

What's hot

Strata Data Conference 2019 : Scaling Visualization for Big Data in the Cloud
Strata Data Conference 2019 : Scaling Visualization for Big Data in the CloudStrata Data Conference 2019 : Scaling Visualization for Big Data in the Cloud
Strata Data Conference 2019 : Scaling Visualization for Big Data in the Cloud
Jaipaul Agonus
 
Action Intelligence for Social Good
Action Intelligence for Social GoodAction Intelligence for Social Good
Action Intelligence for Social Good
Fred Chiang
 
7 Big Data Challenges and How to Overcome Them
7 Big Data Challenges and How to Overcome Them7 Big Data Challenges and How to Overcome Them
7 Big Data Challenges and How to Overcome Them
Qubole
 
Big, small or just complex data?
Big, small or just complex data?Big, small or just complex data?
Big, small or just complex data?
panoratio
 
Big Data Analytics Strategy and Roadmap
Big Data Analytics Strategy and RoadmapBig Data Analytics Strategy and Roadmap
Big Data Analytics Strategy and RoadmapSrinath Perera
 
Why Everything You Know About bigdata Is A Lie
Why Everything You Know About bigdata Is A LieWhy Everything You Know About bigdata Is A Lie
Why Everything You Know About bigdata Is A Lie
Sunil Ranka
 
ADV Slides: The World in 2045 – What Has Artificial Intelligence Created?
ADV Slides: The World in 2045 – What Has Artificial Intelligence Created?ADV Slides: The World in 2045 – What Has Artificial Intelligence Created?
ADV Slides: The World in 2045 – What Has Artificial Intelligence Created?
DATAVERSITY
 
Big Data : From HindSight to Insight to Foresight
Big Data : From HindSight to Insight to ForesightBig Data : From HindSight to Insight to Foresight
Big Data : From HindSight to Insight to Foresight
Sunil Ranka
 
DISUMMIT Keynote presentation from Kirk Borne - From Sensors to Sense-Making
DISUMMIT Keynote presentation from Kirk Borne - From Sensors to Sense-Making DISUMMIT Keynote presentation from Kirk Borne - From Sensors to Sense-Making
DISUMMIT Keynote presentation from Kirk Borne - From Sensors to Sense-Making
DigitYser
 
Dell hans timmerman v1.1
Dell hans timmerman v1.1Dell hans timmerman v1.1
Dell hans timmerman v1.1
BigDataExpo
 
Building a Data Platform Strata SF 2019
Building a Data Platform Strata SF 2019Building a Data Platform Strata SF 2019
Building a Data Platform Strata SF 2019
mark madsen
 
How to Build a Successful Data Team - Florian Douetteau (@Dataiku)
How to Build a Successful Data Team - Florian Douetteau (@Dataiku) How to Build a Successful Data Team - Florian Douetteau (@Dataiku)
How to Build a Successful Data Team - Florian Douetteau (@Dataiku)
Dataiku
 
Big Data LDN 2017: The New Dominant Companies Are Running on Data
Big Data LDN 2017: The New Dominant Companies Are Running on DataBig Data LDN 2017: The New Dominant Companies Are Running on Data
Big Data LDN 2017: The New Dominant Companies Are Running on Data
Matt Stubbs
 
Pieter den Hamer Alliander
Pieter den Hamer Alliander Pieter den Hamer Alliander
Pieter den Hamer Alliander
BigDataExpo
 
Simon Thomas - Big Data: New Opportunity, New Risk
Simon Thomas - Big Data: New Opportunity, New RiskSimon Thomas - Big Data: New Opportunity, New Risk
Simon Thomas - Big Data: New Opportunity, New Risk
Hoi Lan Leong
 
Presentation on Big Data
Presentation on Big DataPresentation on Big Data
Presentation on Big Data
Maruf Abdullah (Rion)
 
Big Data for Beginners
Big Data for BeginnersBig Data for Beginners
Big Data for Beginners
Michael Perez
 

What's hot (19)

Big Data is Here and Now
Big Data is Here and NowBig Data is Here and Now
Big Data is Here and Now
 
Strata Data Conference 2019 : Scaling Visualization for Big Data in the Cloud
Strata Data Conference 2019 : Scaling Visualization for Big Data in the CloudStrata Data Conference 2019 : Scaling Visualization for Big Data in the Cloud
Strata Data Conference 2019 : Scaling Visualization for Big Data in the Cloud
 
Action Intelligence for Social Good
Action Intelligence for Social GoodAction Intelligence for Social Good
Action Intelligence for Social Good
 
7 Big Data Challenges and How to Overcome Them
7 Big Data Challenges and How to Overcome Them7 Big Data Challenges and How to Overcome Them
7 Big Data Challenges and How to Overcome Them
 
Big, small or just complex data?
Big, small or just complex data?Big, small or just complex data?
Big, small or just complex data?
 
Big Data Analytics Strategy and Roadmap
Big Data Analytics Strategy and RoadmapBig Data Analytics Strategy and Roadmap
Big Data Analytics Strategy and Roadmap
 
Why Everything You Know About bigdata Is A Lie
Why Everything You Know About bigdata Is A LieWhy Everything You Know About bigdata Is A Lie
Why Everything You Know About bigdata Is A Lie
 
ADV Slides: The World in 2045 – What Has Artificial Intelligence Created?
ADV Slides: The World in 2045 – What Has Artificial Intelligence Created?ADV Slides: The World in 2045 – What Has Artificial Intelligence Created?
ADV Slides: The World in 2045 – What Has Artificial Intelligence Created?
 
Big Data : From HindSight to Insight to Foresight
Big Data : From HindSight to Insight to ForesightBig Data : From HindSight to Insight to Foresight
Big Data : From HindSight to Insight to Foresight
 
Making Big Data Work
Making Big Data WorkMaking Big Data Work
Making Big Data Work
 
DISUMMIT Keynote presentation from Kirk Borne - From Sensors to Sense-Making
DISUMMIT Keynote presentation from Kirk Borne - From Sensors to Sense-Making DISUMMIT Keynote presentation from Kirk Borne - From Sensors to Sense-Making
DISUMMIT Keynote presentation from Kirk Borne - From Sensors to Sense-Making
 
Dell hans timmerman v1.1
Dell hans timmerman v1.1Dell hans timmerman v1.1
Dell hans timmerman v1.1
 
Building a Data Platform Strata SF 2019
Building a Data Platform Strata SF 2019Building a Data Platform Strata SF 2019
Building a Data Platform Strata SF 2019
 
How to Build a Successful Data Team - Florian Douetteau (@Dataiku)
How to Build a Successful Data Team - Florian Douetteau (@Dataiku) How to Build a Successful Data Team - Florian Douetteau (@Dataiku)
How to Build a Successful Data Team - Florian Douetteau (@Dataiku)
 
Big Data LDN 2017: The New Dominant Companies Are Running on Data
Big Data LDN 2017: The New Dominant Companies Are Running on DataBig Data LDN 2017: The New Dominant Companies Are Running on Data
Big Data LDN 2017: The New Dominant Companies Are Running on Data
 
Pieter den Hamer Alliander
Pieter den Hamer Alliander Pieter den Hamer Alliander
Pieter den Hamer Alliander
 
Simon Thomas - Big Data: New Opportunity, New Risk
Simon Thomas - Big Data: New Opportunity, New RiskSimon Thomas - Big Data: New Opportunity, New Risk
Simon Thomas - Big Data: New Opportunity, New Risk
 
Presentation on Big Data
Presentation on Big DataPresentation on Big Data
Presentation on Big Data
 
Big Data for Beginners
Big Data for BeginnersBig Data for Beginners
Big Data for Beginners
 

Similar to Democratizing Big Data

Big data? No. Big Decisions are What You Want
Big data? No. Big Decisions are What You WantBig data? No. Big Decisions are What You Want
Big data? No. Big Decisions are What You Want
Stuart Miniman
 
Level Seven - Expedient Big Data presentation
Level Seven - Expedient Big Data presentationLevel Seven - Expedient Big Data presentation
Level Seven - Expedient Big Data presentation
Doug Denton
 
Big Data Fundamentals
Big Data FundamentalsBig Data Fundamentals
Big Data Fundamentals
Smarak Das
 
Big Data: A CIO’s Cut Out and Keep Guide
Big Data: A CIO’s Cut Out and Keep Guide Big Data: A CIO’s Cut Out and Keep Guide
Big Data: A CIO’s Cut Out and Keep Guide
EMC
 
The value of our data
The value of our dataThe value of our data
The value of our data
EnterpriseGRC Solutions, Inc.
 
Big Data, NoSQL, NewSQL & The Future of Data Management
Big Data, NoSQL, NewSQL & The Future of Data ManagementBig Data, NoSQL, NewSQL & The Future of Data Management
Big Data, NoSQL, NewSQL & The Future of Data Management
Tony Bain
 
An Overview of BigData
An Overview of BigDataAn Overview of BigData
An Overview of BigData
Valarmathi V
 
Big Data at a Glance
Big Data at a GlanceBig Data at a Glance
Big Data at a Glance
Softweb Solutions
 
Know The What, Why, and How of Big Data_.pdf
Know The What, Why, and How of Big Data_.pdfKnow The What, Why, and How of Big Data_.pdf
Know The What, Why, and How of Big Data_.pdf
Anil
 
Exploring Big Data value for your business
Exploring Big Data value for your businessExploring Big Data value for your business
Exploring Big Data value for your business
Acunu
 
Big Data and BI Best Practices
Big Data and BI Best PracticesBig Data and BI Best Practices
Big Data and BI Best Practices
Yellowfin
 
Big data and bi best practices slidedeck
Big data and bi best practices slidedeckBig data and bi best practices slidedeck
Big data and bi best practices slidedeck
Actian Corporation
 
Big Data By Vijay Bhaskar Semwal
Big Data By Vijay Bhaskar SemwalBig Data By Vijay Bhaskar Semwal
Big Data By Vijay Bhaskar Semwal
IIIT Allahabad
 
Ab cs of big data
Ab cs of big dataAb cs of big data
Ab cs of big data
Digimark
 
Whitepaper: Know Your Big Data – in 10 Minutes! - Happiest Minds
Whitepaper: Know Your Big Data – in 10 Minutes! - Happiest MindsWhitepaper: Know Your Big Data – in 10 Minutes! - Happiest Minds
Whitepaper: Know Your Big Data – in 10 Minutes! - Happiest Minds
Happiest Minds Technologies
 
Bidata
BidataBidata
Bidata
Tamojit Das
 
Austrade Presentation - Big Data the New Oil (Microsoft draft)
Austrade Presentation - Big Data the New Oil   (Microsoft draft)Austrade Presentation - Big Data the New Oil   (Microsoft draft)
Austrade Presentation - Big Data the New Oil (Microsoft draft)Dr Andrew Seit
 
big data
big databig data
big data
sai praneeth
 
Big Data Marketing Seminar Optimately Davy Cielen
Big Data Marketing Seminar Optimately Davy CielenBig Data Marketing Seminar Optimately Davy Cielen
Big Data Marketing Seminar Optimately Davy Cielen
Faces of Content
 
Big data Ppt
Big data PptBig data Ppt
Big data Ppt
Prashant Navatre
 

Similar to Democratizing Big Data (20)

Big data? No. Big Decisions are What You Want
Big data? No. Big Decisions are What You WantBig data? No. Big Decisions are What You Want
Big data? No. Big Decisions are What You Want
 
Level Seven - Expedient Big Data presentation
Level Seven - Expedient Big Data presentationLevel Seven - Expedient Big Data presentation
Level Seven - Expedient Big Data presentation
 
Big Data Fundamentals
Big Data FundamentalsBig Data Fundamentals
Big Data Fundamentals
 
Big Data: A CIO’s Cut Out and Keep Guide
Big Data: A CIO’s Cut Out and Keep Guide Big Data: A CIO’s Cut Out and Keep Guide
Big Data: A CIO’s Cut Out and Keep Guide
 
The value of our data
The value of our dataThe value of our data
The value of our data
 
Big Data, NoSQL, NewSQL & The Future of Data Management
Big Data, NoSQL, NewSQL & The Future of Data ManagementBig Data, NoSQL, NewSQL & The Future of Data Management
Big Data, NoSQL, NewSQL & The Future of Data Management
 
An Overview of BigData
An Overview of BigDataAn Overview of BigData
An Overview of BigData
 
Big Data at a Glance
Big Data at a GlanceBig Data at a Glance
Big Data at a Glance
 
Know The What, Why, and How of Big Data_.pdf
Know The What, Why, and How of Big Data_.pdfKnow The What, Why, and How of Big Data_.pdf
Know The What, Why, and How of Big Data_.pdf
 
Exploring Big Data value for your business
Exploring Big Data value for your businessExploring Big Data value for your business
Exploring Big Data value for your business
 
Big Data and BI Best Practices
Big Data and BI Best PracticesBig Data and BI Best Practices
Big Data and BI Best Practices
 
Big data and bi best practices slidedeck
Big data and bi best practices slidedeckBig data and bi best practices slidedeck
Big data and bi best practices slidedeck
 
Big Data By Vijay Bhaskar Semwal
Big Data By Vijay Bhaskar SemwalBig Data By Vijay Bhaskar Semwal
Big Data By Vijay Bhaskar Semwal
 
Ab cs of big data
Ab cs of big dataAb cs of big data
Ab cs of big data
 
Whitepaper: Know Your Big Data – in 10 Minutes! - Happiest Minds
Whitepaper: Know Your Big Data – in 10 Minutes! - Happiest MindsWhitepaper: Know Your Big Data – in 10 Minutes! - Happiest Minds
Whitepaper: Know Your Big Data – in 10 Minutes! - Happiest Minds
 
Bidata
BidataBidata
Bidata
 
Austrade Presentation - Big Data the New Oil (Microsoft draft)
Austrade Presentation - Big Data the New Oil   (Microsoft draft)Austrade Presentation - Big Data the New Oil   (Microsoft draft)
Austrade Presentation - Big Data the New Oil (Microsoft draft)
 
big data
big databig data
big data
 
Big Data Marketing Seminar Optimately Davy Cielen
Big Data Marketing Seminar Optimately Davy CielenBig Data Marketing Seminar Optimately Davy Cielen
Big Data Marketing Seminar Optimately Davy Cielen
 
Big data Ppt
Big data PptBig data Ppt
Big data Ppt
 

More from Jeff Kelly

CCPA Compliance for Analytics and Data Science Use Cases with Databricks and ...
CCPA Compliance for Analytics and Data Science Use Cases with Databricks and ...CCPA Compliance for Analytics and Data Science Use Cases with Databricks and ...
CCPA Compliance for Analytics and Data Science Use Cases with Databricks and ...
Jeff Kelly
 
Wikibon Barclays Disruptive Tech Call - November 2014
Wikibon Barclays Disruptive Tech Call - November 2014Wikibon Barclays Disruptive Tech Call - November 2014
Wikibon Barclays Disruptive Tech Call - November 2014
Jeff Kelly
 
Wikibon Big Data Capital Markets Day 2014
Wikibon Big Data Capital Markets Day 2014Wikibon Big Data Capital Markets Day 2014
Wikibon Big Data Capital Markets Day 2014
Jeff Kelly
 
The business value of Big Data
The business value of Big DataThe business value of Big Data
The business value of Big Data
Jeff Kelly
 
Big Data and Hadoop - key drivers, ecosystem and use cases
Big Data and Hadoop - key drivers, ecosystem and use casesBig Data and Hadoop - key drivers, ecosystem and use cases
Big Data and Hadoop - key drivers, ecosystem and use cases
Jeff Kelly
 
Create your Big Data vision and Hadoop-ify your data warehouse
Create your Big Data vision and Hadoop-ify your data warehouseCreate your Big Data vision and Hadoop-ify your data warehouse
Create your Big Data vision and Hadoop-ify your data warehouse
Jeff Kelly
 

More from Jeff Kelly (6)

CCPA Compliance for Analytics and Data Science Use Cases with Databricks and ...
CCPA Compliance for Analytics and Data Science Use Cases with Databricks and ...CCPA Compliance for Analytics and Data Science Use Cases with Databricks and ...
CCPA Compliance for Analytics and Data Science Use Cases with Databricks and ...
 
Wikibon Barclays Disruptive Tech Call - November 2014
Wikibon Barclays Disruptive Tech Call - November 2014Wikibon Barclays Disruptive Tech Call - November 2014
Wikibon Barclays Disruptive Tech Call - November 2014
 
Wikibon Big Data Capital Markets Day 2014
Wikibon Big Data Capital Markets Day 2014Wikibon Big Data Capital Markets Day 2014
Wikibon Big Data Capital Markets Day 2014
 
The business value of Big Data
The business value of Big DataThe business value of Big Data
The business value of Big Data
 
Big Data and Hadoop - key drivers, ecosystem and use cases
Big Data and Hadoop - key drivers, ecosystem and use casesBig Data and Hadoop - key drivers, ecosystem and use cases
Big Data and Hadoop - key drivers, ecosystem and use cases
 
Create your Big Data vision and Hadoop-ify your data warehouse
Create your Big Data vision and Hadoop-ify your data warehouseCreate your Big Data vision and Hadoop-ify your data warehouse
Create your Big Data vision and Hadoop-ify your data warehouse
 

Recently uploaded

Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
BookNet Canada
 
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdfUni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems S.M.S.A.
 
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
 
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Albert Hoitingh
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
DianaGray10
 
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
 
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
KatiaHIMEUR1
 
PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)
Ralf Eggert
 
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
 
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
 
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
 
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
 
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Neo4j
 
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
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Safe Software
 
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
 
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
Prayukth K V
 
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
 
GridMate - End to end testing is a critical piece to ensure quality and avoid...
GridMate - End to end testing is a critical piece to ensure quality and avoid...GridMate - End to end testing is a critical piece to ensure quality and avoid...
GridMate - End to end testing is a critical piece to ensure quality and avoid...
ThomasParaiso2
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance
 

Recently uploaded (20)

Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
 
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdfUni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdf
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
 
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
 
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
 
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
 
PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)
 
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...
 
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 -...
 
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
 
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
 
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
 
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
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
 
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
 
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
 
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...
 
GridMate - End to end testing is a critical piece to ensure quality and avoid...
GridMate - End to end testing is a critical piece to ensure quality and avoid...GridMate - End to end testing is a critical piece to ensure quality and avoid...
GridMate - End to end testing is a critical piece to ensure quality and avoid...
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
 

Democratizing Big Data

  • 1. Democratizing BIG DATA Jeff Kelly Big Data Analyst, Wikibon wikibon.org/bigdata
  • 2. Big Questions About BIG DATA  What is New about BIG DATA?  Why is BIG DATA Important?  Why aren’t More Enterprises Practicing BIG DATA?  What Will it Take to Spur Adoption and Democratize BIG DATA ?
  • 3. Massive Data Growth What is New about Big Data?
  • 4. Desire to Transform Data Knowledge What is New about Big Data?
  • 5. What’s the BIG Problem? VOLUME TYPE SPEED BIG DATA What is New about Big Data?
  • 6. What is NEW … Technology to Process, Store & Analyze BIG DATA In a TIME-EFFICIENT and COST-EFFECTIVE Way What is New about Big Data?
  • 7. New Approaches to BIG DATA Hadoop is an open source framework for processing, storing and analyzing massive amounts of distributed, multi- structured data. What is New about Big Data?
  • 8. New Approaches to BIG DATA Next Generation Data Warehouses use massively parallel processing, columnar architectures and data compression to analyze not-quite-so-massive data in close to real- time. What is New about Big Data?
  • 9. New Approaches to BIG DATA Multiple flavors of NoSQL [Not Only SQL] Databases emerging to support specific types of Multi-Structured Data and Real-Time Web Applications. What is New about Big Data?
  • 10. New Approaches to BIG DATA Are … Complimentary NOT Competitive Right Tool, Right Job What is New about Big Data?
  • 11. The Result? Enterprises Now Have The Technologies Needed to Turn BIG DATA Into Actionable, Timely Insights. What is New about Big Data?
  • 12. So Why is BIG DATA Important? Process and Analyze ALL Your Data Ask NEW Questions Ask MORE Questions Get ANSWERSFASTER Get CLEARER Insight MAKE BETTER BUSINESS DECISIONS Why is Big Data Important?
  • 13. BIG DATA THE New, DEFINITIVE Source of COMPETITIVE ADVANTAGE Across ALL Industries.* * Wikibon Big Data Manifesto, 2011 Why is Big Data Important?
  • 14. BIG DATA In Action Why is Big Data Important?
  • 15. But … BIG DATA Adoption is Slow BIG DATA Technologies Difficult to Deploy, Manage and Use Dearth of Skilled BIG DATA Practitioners and Data Scientists Enterprises Lack Right MINDSET to Exploit BIG DATA Why aren’t More Enterprises Practicing Big Data?
  • 16. What Will It Take to … DEMOCRATIZE BIG DATA? How Will We Democratize Big Data?
  • 17. Democratizing BIG DATA NEEDED: TOOLS TO ABSTRACT AWAY COMPLEXITY DEPLOY ANALYZE ADMINISTER VISUALIZE SECURE AUTOMATE INTEGRATE PROCESS MANAGE How Will We Democratize Big Data?
  • 18. Democratizing BIG DATA NEEDED: TOOLS TO ABSTRACT AWAY COMPLEXITY
  • 19. Democratizing BIG DATA NEEDED: BIG DATA TRAINING AND EDUCATION BIG DATA INFRASTRUCTURE DATA SCIENCE ADVANCED BIG DATA PROCESSING & PREDICTIVE INTEGRATION ANALYTICS How Will We Democratize Big Data?
  • 20. Democratizing BIG DATA NEEDED: BIG DATA TRAINING AND EDUCATION
  • 21. Democratizing BIG DATA NEEDED: A CHANGE OF MINDSET
  • 22. Democratizing BIG DATA NEEDED: A CHANGE OF MINDSET EXPERIMENTATION IMAGINATION Rinse COLLABORATION COMMUNICATION & WILLINGNESS TO FAIL Repeat PERSEVERENCE STORYTELLING TRUST ACTION DATA-DRIVEN ENTERPRISE How Will We Democratize Big Data?
  • 23. THANK YOU Democratizing BIG DATA Jeff Kelly Big Data Analyst Wikibon jeff.kelly@wikibon.com @jeffreyfkelly wikibon.org/bigdata

Editor's Notes

  1. Dawn of record keeping, data volumes have been increasing.In the more recent path, pharmaceutical, telecomm and other industries dealing with data growth before the term Big Data arose.
  2. People been trying to turn data to knowledge since ancient times, 7500 BC when Mesopotamians created the first accounting system.Again, looking to more recent times, in the 1980s and 1990s decision management and business intelligence software arose. Largely failed.
  3. Volume is increasing, but more importantly the types of data – multistructured data – are expanding and being created at greater speeds than ever before, the need to make sense of the data in near real time to maximize value is greater than ever before. Confluence of three trends.
  4. We now have the tech to deal with it. Not impossible before, but impractical due to time or money constraints.
  5. QuickHadoop history.
  6. Quick MPP data warehouse history (commodity hardware, data compression, columnar arcitectures)
  7. Quick overview of NoSQLDBs.
  8. Iterate.
  9. Examples – Sears for dynamic pricing, CIA to understand terrorist chatter, Netflix to determine which movies to recommend, BoA to detect fraud in real time, Philips healthcare to understand outcomes, research the genome.
  10. McKinsey 140,000 – 190,000 data scentists needed 2018.