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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

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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