T22.Fujitsu World Tour India 2016-Business Intelligence and Data Analytics in Banking, Financial, Telecom, Government & statutory organizations

0 Copyright 2016 FUJITSU
Fujitsu for Business
Intelligence and
Data Analytics
Pankaj Sharma – Solution Architect – HPC &
Analytics
Fujitsu World Tour 2016

Why Big Data?

Big Data
Big is a relative term – depends upon the
context
When we have to deploy a cluster to do
store and analyze
When we take analysis of the data to the
realms of High Performance Computing
Structured and unstructured Data

Big Data continued ….
We cannot escape BigData –
Either analyze in parallel or perish
Abundance of unstructured Data –
difficult to use any DB
Getting the data to processor
bottleneck
Parallel and Cluster computing on
data

Where? Fujitsu’s Foot steps

Use Cases.....Examples
Customer Intimacy Operational Efficiency
Risk Management Innovation
Categories
Market Basket Analysis
Predictive Maintenance
Enterprise Data Hub
IoT Applications
Monitoring and Analysis of unused data
360° View
Targeted Advertisement
Sentiment Analysis
Recommendations
Cybersecurity
Fraud Detection
Compliance Auditing

Cybersecurity
Target Industries: Large Public Networks, Government, Financial, Telecom, Utilities, etc.
Real Time
Detect
Attacks in
Real Time
Prevent
Threats in
Real Time

Fraud Detection
Target Industries: Financial, Insurance, Government, etc.
Patterns
Words
External
Information
Internal
Information

Targeted Advertising
Target Industries: Retail, Manufacturing, Service, Financial, etc.
Personalized Offers to Consumers
Data sources:
• Social networks
• CRM
• Sales Orders
• POS
• Web Logs
• Online profiles
• etc.
Social Media
Data
Multi-
Structured
Data

 Trace and interprets online
discussions in social media
to Gather customer feelings
on:
 Your organization
 Your Brand
 Your Products and Services
 Your Competition
 Other events that may impact
corporate performance: politics,
disasters, large-scale events, etc.
Sentiment Analysis
 or ?
Decide /
Improve
Target Industries: Retail, Manufacturing, Service, Financial, etc.
Like
Dislike
Want
Need

Real Time
Recommendations
 Widely in the retail sector
 Looks at customers’ purchase
behavior of products, and offer a
"best next offer"
recommendation when they
purchase a product
 Not only checking which
combinations are most likely, but
also, identifying a closely related
peer consumer group
Target Industries: Retail, Service, Social Networks, etc.
Web logs, Cart Data, User Data
Recommendation ProfilesWeb Logs

Market Basket Analysis
 Match products
purchased together for
cross-selling, up-
selling and
promotions
 Big data adds more
context:
 Time of day
 Music played in a store
 Store visit duration
 Store traffic
 Weather, etc.
Target Industries: Retail
Multi-
Structured
Data
Social Media
Operational
Data
Other Data

Predictive Maintenance
Target Industries: Manufacturing, Natural Resources, Utilities, Telecommunication
Real Time
Improve Operations, Reduce Waste,
Identify Bottlenecks
Control Manufactured Product Quality
Monitor Asset Performance
Avoid Operations Downtime
Predict Asset Failure
Machine / Sensor Data
Predictive Models/Machine Learning

Usage Monitoring
Target Industries: Manufacturing , Natural Resources, Transport, Utilities
Monetize Data
Monitor/Control
Optimize
Machine / Sensor Data

 DW Optimization
 Offload and accelerate
ELT/ETL workloads
 Improve Storage TCO, store
more data, and tackle data
growth challenges
 Scale-out to meet
performance and/or capacity
with low cost commodity
hardware
 Insight Enrichment
 Perform analytics on all your
data assets and discover new
insights
 Enable Enterprise Data Hub
and eliminate information silos
 Keep all your data assets
virtually “forever”
 Offer business users self-
service analytics and reduce
time-to-information, and
development costs
Use Case: Enterprise Data Hub
BI/Data Warehouse Augmentation and Optimization
Target Industries: Generic

Fujitsu Big Data Technologies

Apache Hadoop Ecosystem
Fujitsu Infra
Unified, Elastic, Resilient, Secure
Workload Management (YARN)
Batch
Processing
(MR, Pig, Hive)
Analytic
SQL
(Hive, Impala)
Search
Engine
Solr
Machine
Learning
(Mahout, Spark)
Stream
Processing
(Spark)
3rd Party
Apps
(Datameer,
Tableau,
elasticsearch,…)
DATA
MANAGEMENT
(Hadoop,Falcon,Oozie
…)
SYSTEM
MANAGEMENT
(Zookeeper,Ambari,…)
File System Online NoSQL
DataAccess
SecuredPlatform
Integration on open source stack
(Flume, Storm, Sqoop, Falcon, WebHDFS, [Pentaho, Informatica, Other Connectors])

Cluster with Hadoop
• Holds the metadata for the HDFSNameNode
• Performs housekeeping functions for the
NameNode
Secondary
NameNode
• Stores the actual HDFS data blocks and runs
analytic computeDataNode
• Manages MapReduce jobsJobTracker YARN
• Monitors individual Map and Reduce tasksTaskTracker

Multi-Structured Data Storage and Batch Processing
Structured
Data
•Databases
•Transaction
•CRM
•ERP
•…
Unstructured
Data
•Machine Data
•Web Data
•Social Media
•Documents
•E-Mails
•Audio/Visual
•…
Multi-
Function
•Self-Service Analytics
•Advanced Analytics
•DW Landing + ETL Stage
•Dynamic Archival
•…

Real-Time/In-Memory Data Analytics
Real-Time Data Analysis
Non Real-Time Data Lake
and Batch Processing
Network
Logs
Web
Logs
Machine
Data
Market
Data
Hadoop
Real-Time Data Collection

Fujitsu Big Data Professional Services

Why Fujitsu?
 The world‘s fourth-largest IT services
provider and No.1 in Japan*
 Committed to deliver local service globally
 We do everything in ICT, and work with you to
deliver end-to-end solutions
 Global best-practice-based delivery of Business
Transformation and Information Technology
Projects
 A one-stop shop for Big Data where
organizations can get optimized Big Data
infrastructure solutions including hardware,
software and services – all from a single source
PC/Mobile
Services
Networks Software
Servers

Big Data Professional Services
• FUJITSU Big Data Assessment Workshop
• FUJITSU Big Data Strategy Consulting Service
• FUJITSU Services for Hadoop
• FUJITSU Big Data Analytics Services
Consulting Services
• FUJITSU Integrated System PRIMEFLEX for Hadoop
• Other Platforms on request
Integration Services

Fujitsu Big Data Strategy Consulting Service
 Offers the expertise and skills required to build your
Big Data Strategy
 Identify and document your Big Data requirements
 Identify the most promising best practices, use cases, and
technologies
 Assess and align Big Data to organizational assets and strategic
objectives
 Identify gaps
 Document strategic recommendations for Big Data initiatives
and their implementation plan
 Service Deliverables
 Big Data Strategy Plan for the organization
 Recommendation on the best-of-breed solution and reference
architecture
 Strategy implementation road map
 Service description
 Best Practice-based service following a 5-step approach
 The Benefit
 Helps you identify, implement, and validate use cases and their
outcomes
 Remove Big Data technical and analytical skill gaps
 Provide Big Data analytics development services for data
transformation, analysis, and reporting
 Duration:
 Scope Dependent
1- Requirement Definition
and Project Planning
2- Organizational Assets assessment
3- Gap Analysis
4- Reference
Architecture definition
5- Strategy and Road Map
Documentation

Fujitsu PRIMEFLEX for Hadoop Deployment Service
 Introduction to Fujitsu Integrated System
PRIMEFLEX for Hadoop
 Overview of the hardware and software stack
 Definition and configuration of the required
infrastructure resources:
 Servers
 Network
 OS
 Definition of Hadoop Cluster Configuration
 Configuration of nodes
 Configuration of networking parameters
 Definition of Enterprise Integration of Hadoop
 Cloudera Manager cluster configuration
 Base services and security
 Define Testing
 Definition of Datameer configuration
 Datameer application configuration
 Base Security and Tuning
 Enterprise Integration
 The service delivers a formal configuration report,
subsequent implementation of the configuration
in the IT infrastructure environment, and concludes
with a handover of the running solution to the
Customer

T22.Fujitsu World Tour India 2016-Business Intelligence and Data Analytics in Banking, Financial, Telecom, Government & statutory organizations

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T22.Fujitsu World Tour India 2016-Business Intelligence and Data Analytics in Banking, Financial, Telecom, Government & statutory organizations