SlideShare a Scribd company logo
1 of 17
Download to read offline
ANALYTICS, IOT & MOBILE
@mohammadzaman
US$883.55B
IoT related revenue is expected to grow from USD 130.33
Billion in 2015 to USD 883.55 Billion by 2022, at a CAGR
of 32.4% between 2016 and 2022
Source: http://www.postscapes.com/internet-of-things-market-size/
FutureTrendPast
LIFECYCLE OF IT..
Problem
Statement
Problem
Statement
Design
Thinking
Design
Thinking
Business Model
Workshop
Business Model
Workshop
Eco-System
Development
Eco-System
Development
Scalability of
Innovation
Scalability of
Innovation
Define the problem in a single sentence
using everyday words for absolute general
audience
Problem
Statement
Put yourself in the shoes of your users.. All
users.
Design
Thinking
How would you sustain the Innovation? What
is the revenue model?
Business
Model
Workshop
We can not do any BIG thing alone! So, a
very collaborative Eco-System is a must!
Eco-System
Development
Once we Innovate, then we need to scale
the innovation with sustainable progress
Progressive
Innovation
 It is a structured process of Innovation!  Adding the touch of Practicality!
Viability
to be a
BUSINESS
Desirability
By
PEOPLE
Feasibility
with
TECHNOLOGY
Process 
Innovation
Functional 
Innovation
Emotional 
Innovation
EDUCATION...
Institutional
Education
• Intellectual
Readiness
Institutional
Education
• Intellectual
Readiness
Professional
Education
• Technical
Readiness
Professional
Education
• Technical
Readiness
Forward
Education
• Trend
Readiness
Forward
Education
• Trend
Readiness
Practical
Education
• Leadership
Readiness
Practical
Education
• Leadership
Readiness
This is scoring for Institutional Knowledge (course
curriculum, instructors & student peers); score yourself by
comparing the rank of the institution & rank of the program
Intellectual
Readiness
Have you learned something beyond your curriculum?
Internship, competition? Local, Global? Did you take some
certification training from the vendors? Contributed?
Technical
Readiness
Forward education is fundamental for Innovation.The
question is, who’s done it already? How would you know?
How often you read a new book? A Journal? A
blog/slideshare/vlog? How many and how often you
blog/tweet/post/respond?
Trend
Readiness
Technical competencies are sometime barricade for
leadership, as it tends on micro-controls.What is your
influential power? Is this progressing? Managing on
eXperience of Customers, Employees, Industry, Leaders and
beyond?Your Style??
Leadership
Readiness
APTITUDE...
AttitudeAttitude
AdaptableAdaptable
Self
Driven
Self
Driven
DisciplineDiscipline
DependableDependable
CollaborativeCollaborative
What is your attitude – Always positive? Is everyone
extremely excited to work with you? Are you the person
everyone wants you in their team?
Attitude
How often you adapt yourself to the environment? Change
technology? Learn something new and apply?
Adaptable
Does someone has to tell you what you need to do? If
something looks odd, do you take action? (Pick up the
banana peel from the pathway?)
Self Driven
How disciplined are you? How do you manage your time?
How many things are you engaged in? Can you get things
done ontime? Do you always meet expectations?
Discipline
How dependable are you? Can I give you something and
forget all about it? Does is only apply for your superior’s
orders? Do you do this for everyone? By yourself?
Dependable
What is your communication style? Work Alone? Work with
team? Delegate? Influence?
Collaborative
 Think out-of-the-box
 Share the idea
 // Move Fast & Break Things //
 // Think Different //
 // Don’t be Evil //
My Z Score
Score Sheet - Aptitute
Score Sheet - Education
Yesterday:Visualization
Today: Executable Action
Tomorrow: Prediction
40 ZB by 2020
85%
Usage Data
LBS
Sentiment
Click Stream
Social Data
2.8 ZB by
2012
15x
Machine
Data
Geo, Logs,
Sensor
Other New
Sources..
 Collect or Generate the Data – Machine to Machine, User Generated, System Generated
 Ingest the Data – Stream, Batch,Variation with Velocity.. (Scribe, Kinesis, Kafka, Flume)
 Store the Data – Structured (SQL/NoSQL, DW, Search/Cache) or Unstructured
(Hadoop/HDFS or QueryLess Storage)
 Analyze the Data – Process, Classify, Predict, etc. Batch processing (Hadoop, Spark,
Redshift) or Stream processing (Spark Stream, Storm)
 Act on the Data – Execute,Visualize, Simulate..
NB – Need to have a stable and updated Data Set (Specially for Bangladesh)
INGEST STORE ANALYZEGenerate ACT
AnalyzeAnalyze TransactTransact
OPEN SOURCE DISTRIBUTION
Ingest Logs Receive Events Train Models Score Models Sync Results Search Data
Big Data
Components
• Kafka
• Storm
• Flume to HBase,
ES
• Cassandra
• Kafka
• Storm
• Flume to ES
• HBase read
• Spark
• Kafka
• HBase write
• Spark
• Elasticsearch
write (index)
• Spark
• HBase read
• Elasticsearch
read (query)
Hypervisor/ CMP
BIG DATA SOLUTION COMPONENTS
Advanced Analytics /
ML
Reporting/Dashboard/
Visualization
Analytics
Data Integration
and Processing
SQL / DW
Cluster Manager / Admin
Storage Service
Compute/
Storage HW
No SQL /
Time Series
PivotalPivotal
ECS, Isilon,xTremIO
Open Stack
YARN/
HDFS
Spring XD
Gemfire
Pivotal HDB /
Greenplum
HAWQ
Graphlab
MadLib
HortonworksHortonworks
Super-Micro
DAS
Open stack
YARN/
HDFS
Spark, Flume,
Sqoop, Kafka
HBASE
Hive
Hive, Spark
Zeppelin
Spark ML, Spark R
SAP HANASAP HANA
Cisco/
VMAX/VNX
VMware
AppDirector /
HANA
SAP Data Services
HANA
BW
HANA
Business Objects,
Lumira
PAL
SparkSpark
Super-Micro
DAS
OpenStack/
xStream
YARN
Spark Streaming
HBASE
Spark SQL
Hive
Storm
Zeppelin
Spark ML
SAP HANA VoraSAP HANA Vora
Cisco/SM,
DAS/ VMAX
VMware /
OpenStack
YARN/
HDFS
Spark Streaming,
Sqoop, DS
HANA
Spark SQL/BW
Vora/Spark
Business Objects,
Lumira
PAL, Spark
Video
Surveillance
Activity
Monitoring
Traffic Jam &
Diversion
Facial
Recognition
Terrorist
Recognition
Criminal
Monitoring
Preventive
Maintenance
Automobile
Proactive
Maintenance
Customer
Experience
360 Degree
Customer
View
Collaborative
Fraud
Detection
Transaction
Analysis
Data
Anomaly –
Cyber
Security
Can you see the end of the
road? Your imagination is
the JOURNEY will take you
THERE
/mohammad.zaman
/mohammadzaman
mohammad.zaman@gmail.com

More Related Content

What's hot

What's hot (20)

Building Your Roadmap To Agility
Building Your Roadmap To AgilityBuilding Your Roadmap To Agility
Building Your Roadmap To Agility
 
Apply lean and agile techniques for personal task management
Apply lean and agile techniques for personal task managementApply lean and agile techniques for personal task management
Apply lean and agile techniques for personal task management
 
The Agile Manager Mindshift - Paul Ellarby
The Agile Manager Mindshift - Paul EllarbyThe Agile Manager Mindshift - Paul Ellarby
The Agile Manager Mindshift - Paul Ellarby
 
Keep It Lean - TCUK 2015
Keep It Lean - TCUK 2015Keep It Lean - TCUK 2015
Keep It Lean - TCUK 2015
 
Connecting the Dots: Agile, DevOps, Lean IT - Mike Orzen - AgileNZ 2017
Connecting the Dots: Agile, DevOps, Lean IT - Mike Orzen - AgileNZ 2017Connecting the Dots: Agile, DevOps, Lean IT - Mike Orzen - AgileNZ 2017
Connecting the Dots: Agile, DevOps, Lean IT - Mike Orzen - AgileNZ 2017
 
Sue Evans - “Leading change in Warwickshire”
Sue Evans - “Leading change in Warwickshire”Sue Evans - “Leading change in Warwickshire”
Sue Evans - “Leading change in Warwickshire”
 
Intro to Scrum - Heidi Araya
Intro to Scrum  - Heidi ArayaIntro to Scrum  - Heidi Araya
Intro to Scrum - Heidi Araya
 
Embracing the Agile Mindset for Organizational Change
Embracing the Agile Mindset for Organizational ChangeEmbracing the Agile Mindset for Organizational Change
Embracing the Agile Mindset for Organizational Change
 
Agile frameworks: the why, how and what
Agile frameworks: the why, how and whatAgile frameworks: the why, how and what
Agile frameworks: the why, how and what
 
OSC2012: How a 2000-Year Old Knot Untangles Legacy
OSC2012: How a 2000-Year Old Knot Untangles LegacyOSC2012: How a 2000-Year Old Knot Untangles Legacy
OSC2012: How a 2000-Year Old Knot Untangles Legacy
 
Unlearn First, Transform Next
Unlearn First, Transform NextUnlearn First, Transform Next
Unlearn First, Transform Next
 
Modern Agile Management and Leadership
Modern Agile Management and LeadershipModern Agile Management and Leadership
Modern Agile Management and Leadership
 
Intro to Kanban - Heidi Araya
Intro to Kanban - Heidi ArayaIntro to Kanban - Heidi Araya
Intro to Kanban - Heidi Araya
 
Agile Mindset and Culture by Hithem Ahmed
Agile Mindset and Culture by Hithem AhmedAgile Mindset and Culture by Hithem Ahmed
Agile Mindset and Culture by Hithem Ahmed
 
Safe - corruption, copout or corporate kaizen
Safe - corruption, copout or corporate kaizenSafe - corruption, copout or corporate kaizen
Safe - corruption, copout or corporate kaizen
 
Distributed Agile Teams: Trello's Tips on Making Them Work
Distributed Agile Teams: Trello's Tips on Making Them WorkDistributed Agile Teams: Trello's Tips on Making Them Work
Distributed Agile Teams: Trello's Tips on Making Them Work
 
Building the right foundations for Business Agility by Erich Bühler
Building the right foundations for Business Agility by Erich BühlerBuilding the right foundations for Business Agility by Erich Bühler
Building the right foundations for Business Agility by Erich Bühler
 
Nigel Baker - “Transforming the world of work … in 20 minutes”
Nigel Baker - “Transforming the world of work … in 20 minutes”Nigel Baker - “Transforming the world of work … in 20 minutes”
Nigel Baker - “Transforming the world of work … in 20 minutes”
 
Lean Enterprise Transformation: The Journey Inside Large Organizations, Sonja...
Lean Enterprise Transformation: The Journey Inside Large Organizations, Sonja...Lean Enterprise Transformation: The Journey Inside Large Organizations, Sonja...
Lean Enterprise Transformation: The Journey Inside Large Organizations, Sonja...
 
Kaizania Academies - Agile: where Business Analysts go to die?
Kaizania Academies - Agile: where Business Analysts go to die?Kaizania Academies - Agile: where Business Analysts go to die?
Kaizania Academies - Agile: where Business Analysts go to die?
 

Similar to Big data workshop october 18

Similar to Big data workshop october 18 (20)

How (can) Scrum and DevOps Walk Together to Build a High-Quality Product Deli...
How (can) Scrum and DevOps Walk Together to Build a High-Quality Product Deli...How (can) Scrum and DevOps Walk Together to Build a High-Quality Product Deli...
How (can) Scrum and DevOps Walk Together to Build a High-Quality Product Deli...
 
Public Sector Enterprise ICT 2020 - Chairman's Address - 24 Nov 2020
Public Sector Enterprise ICT 2020 - Chairman's Address - 24 Nov 2020Public Sector Enterprise ICT 2020 - Chairman's Address - 24 Nov 2020
Public Sector Enterprise ICT 2020 - Chairman's Address - 24 Nov 2020
 
Transformative organiztions sgd
Transformative organiztions sgdTransformative organiztions sgd
Transformative organiztions sgd
 
Data-driven Product Management
Data-driven Product ManagementData-driven Product Management
Data-driven Product Management
 
Agile from the executive floor - defining agility in business terms - Agile P...
Agile from the executive floor - defining agility in business terms - Agile P...Agile from the executive floor - defining agility in business terms - Agile P...
Agile from the executive floor - defining agility in business terms - Agile P...
 
Alliances, Data and Startup Mentality - How we Led Three Banks through DevOps...
Alliances, Data and Startup Mentality - How we Led Three Banks through DevOps...Alliances, Data and Startup Mentality - How we Led Three Banks through DevOps...
Alliances, Data and Startup Mentality - How we Led Three Banks through DevOps...
 
DevOps Days Charlotte - The Rise of Culture
DevOps Days Charlotte - The Rise of CultureDevOps Days Charlotte - The Rise of Culture
DevOps Days Charlotte - The Rise of Culture
 
From Vision Statement to Product Backlog
From Vision Statement to Product BacklogFrom Vision Statement to Product Backlog
From Vision Statement to Product Backlog
 
Do organizations have future?
Do organizations have future?Do organizations have future?
Do organizations have future?
 
Selling Text Analytics to your boss
Selling Text Analytics to your bossSelling Text Analytics to your boss
Selling Text Analytics to your boss
 
'My Case for Agile Methods & Tranformation' : Presented by Saikat Das
'My Case for Agile Methods & Tranformation' : Presented by Saikat Das 'My Case for Agile Methods & Tranformation' : Presented by Saikat Das
'My Case for Agile Methods & Tranformation' : Presented by Saikat Das
 
Building an Analytics CoE (Center of Excellence)
Building an Analytics CoE (Center of Excellence)Building an Analytics CoE (Center of Excellence)
Building an Analytics CoE (Center of Excellence)
 
Gartner ADDI 2018: Pivotal & Service NSW
Gartner ADDI 2018: Pivotal & Service NSWGartner ADDI 2018: Pivotal & Service NSW
Gartner ADDI 2018: Pivotal & Service NSW
 
What needs to be true? Patterns of engineering agility
What needs to be true? Patterns of engineering agilityWhat needs to be true? Patterns of engineering agility
What needs to be true? Patterns of engineering agility
 
The Future Of Collaboration Needs Your Help
The Future Of Collaboration Needs Your HelpThe Future Of Collaboration Needs Your Help
The Future Of Collaboration Needs Your Help
 
Training Taster: Leading the way to become a data-driven organization
Training Taster: Leading the way to become a data-driven organizationTraining Taster: Leading the way to become a data-driven organization
Training Taster: Leading the way to become a data-driven organization
 
Michael sampson - The Fire Within for the Road Ahead
Michael sampson - The Fire Within for the Road AheadMichael sampson - The Fire Within for the Road Ahead
Michael sampson - The Fire Within for the Road Ahead
 
ASAS 2015 - Benito de Miranda
ASAS 2015 - Benito de MirandaASAS 2015 - Benito de Miranda
ASAS 2015 - Benito de Miranda
 
Exa Infotech PPT
Exa Infotech PPTExa Infotech PPT
Exa Infotech PPT
 
Speeding Up Innovation
Speeding Up InnovationSpeeding Up Innovation
Speeding Up Innovation
 

Recently uploaded

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Recently uploaded (20)

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
 
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusExploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 

Big data workshop october 18

  • 1. ANALYTICS, IOT & MOBILE @mohammadzaman
  • 2. US$883.55B IoT related revenue is expected to grow from USD 130.33 Billion in 2015 to USD 883.55 Billion by 2022, at a CAGR of 32.4% between 2016 and 2022 Source: http://www.postscapes.com/internet-of-things-market-size/
  • 4. LIFECYCLE OF IT.. Problem Statement Problem Statement Design Thinking Design Thinking Business Model Workshop Business Model Workshop Eco-System Development Eco-System Development Scalability of Innovation Scalability of Innovation Define the problem in a single sentence using everyday words for absolute general audience Problem Statement Put yourself in the shoes of your users.. All users. Design Thinking How would you sustain the Innovation? What is the revenue model? Business Model Workshop We can not do any BIG thing alone! So, a very collaborative Eco-System is a must! Eco-System Development Once we Innovate, then we need to scale the innovation with sustainable progress Progressive Innovation
  • 5.  It is a structured process of Innovation!  Adding the touch of Practicality! Viability to be a BUSINESS Desirability By PEOPLE Feasibility with TECHNOLOGY Process  Innovation Functional  Innovation Emotional  Innovation
  • 6. EDUCATION... Institutional Education • Intellectual Readiness Institutional Education • Intellectual Readiness Professional Education • Technical Readiness Professional Education • Technical Readiness Forward Education • Trend Readiness Forward Education • Trend Readiness Practical Education • Leadership Readiness Practical Education • Leadership Readiness This is scoring for Institutional Knowledge (course curriculum, instructors & student peers); score yourself by comparing the rank of the institution & rank of the program Intellectual Readiness Have you learned something beyond your curriculum? Internship, competition? Local, Global? Did you take some certification training from the vendors? Contributed? Technical Readiness Forward education is fundamental for Innovation.The question is, who’s done it already? How would you know? How often you read a new book? A Journal? A blog/slideshare/vlog? How many and how often you blog/tweet/post/respond? Trend Readiness Technical competencies are sometime barricade for leadership, as it tends on micro-controls.What is your influential power? Is this progressing? Managing on eXperience of Customers, Employees, Industry, Leaders and beyond?Your Style?? Leadership Readiness
  • 7. APTITUDE... AttitudeAttitude AdaptableAdaptable Self Driven Self Driven DisciplineDiscipline DependableDependable CollaborativeCollaborative What is your attitude – Always positive? Is everyone extremely excited to work with you? Are you the person everyone wants you in their team? Attitude How often you adapt yourself to the environment? Change technology? Learn something new and apply? Adaptable Does someone has to tell you what you need to do? If something looks odd, do you take action? (Pick up the banana peel from the pathway?) Self Driven How disciplined are you? How do you manage your time? How many things are you engaged in? Can you get things done ontime? Do you always meet expectations? Discipline How dependable are you? Can I give you something and forget all about it? Does is only apply for your superior’s orders? Do you do this for everyone? By yourself? Dependable What is your communication style? Work Alone? Work with team? Delegate? Influence? Collaborative
  • 8.  Think out-of-the-box  Share the idea  // Move Fast & Break Things //  // Think Different //  // Don’t be Evil // My Z Score Score Sheet - Aptitute Score Sheet - Education
  • 9. Yesterday:Visualization Today: Executable Action Tomorrow: Prediction 40 ZB by 2020 85% Usage Data LBS Sentiment Click Stream Social Data 2.8 ZB by 2012 15x Machine Data Geo, Logs, Sensor Other New Sources..
  • 10.  Collect or Generate the Data – Machine to Machine, User Generated, System Generated  Ingest the Data – Stream, Batch,Variation with Velocity.. (Scribe, Kinesis, Kafka, Flume)  Store the Data – Structured (SQL/NoSQL, DW, Search/Cache) or Unstructured (Hadoop/HDFS or QueryLess Storage)  Analyze the Data – Process, Classify, Predict, etc. Batch processing (Hadoop, Spark, Redshift) or Stream processing (Spark Stream, Storm)  Act on the Data – Execute,Visualize, Simulate.. NB – Need to have a stable and updated Data Set (Specially for Bangladesh) INGEST STORE ANALYZEGenerate ACT
  • 12. OPEN SOURCE DISTRIBUTION Ingest Logs Receive Events Train Models Score Models Sync Results Search Data Big Data Components • Kafka • Storm • Flume to HBase, ES • Cassandra • Kafka • Storm • Flume to ES • HBase read • Spark • Kafka • HBase write • Spark • Elasticsearch write (index) • Spark • HBase read • Elasticsearch read (query)
  • 13. Hypervisor/ CMP BIG DATA SOLUTION COMPONENTS Advanced Analytics / ML Reporting/Dashboard/ Visualization Analytics Data Integration and Processing SQL / DW Cluster Manager / Admin Storage Service Compute/ Storage HW No SQL / Time Series PivotalPivotal ECS, Isilon,xTremIO Open Stack YARN/ HDFS Spring XD Gemfire Pivotal HDB / Greenplum HAWQ Graphlab MadLib HortonworksHortonworks Super-Micro DAS Open stack YARN/ HDFS Spark, Flume, Sqoop, Kafka HBASE Hive Hive, Spark Zeppelin Spark ML, Spark R SAP HANASAP HANA Cisco/ VMAX/VNX VMware AppDirector / HANA SAP Data Services HANA BW HANA Business Objects, Lumira PAL SparkSpark Super-Micro DAS OpenStack/ xStream YARN Spark Streaming HBASE Spark SQL Hive Storm Zeppelin Spark ML SAP HANA VoraSAP HANA Vora Cisco/SM, DAS/ VMAX VMware / OpenStack YARN/ HDFS Spark Streaming, Sqoop, DS HANA Spark SQL/BW Vora/Spark Business Objects, Lumira PAL, Spark
  • 14.
  • 16. Can you see the end of the road? Your imagination is the JOURNEY will take you THERE