big data analytics and its future prospect
TRANSCRIPT
Big Data Analytics and its Future ProspectsBig Data Analytics and its Future Prospects
Convergence and its role in managing data effectively across industriesConvergence and its role in managing data effectively across industries
Swapnadeep Nayak
Sr. Research Analyst
Technical Insights - ICTTechnical Insights - ICT
26-09-2013
© 2013 Frost & Sullivan. All rights reserved. This document contains highly confidential information and is the sole property of
Frost & Sullivan. No part of it may be circulated, quoted, copied or otherwise reproduced without the written approval of Frost & Sullivan.
Functional Expertise
� Experienced research and consulting professional in information and communication technology domain.
Specific functional expertise in:
- Analyzing and tracking recent technology developments in ICT across the globe
- Providing strategic recommendations on marketing strategy, market feasibility and competitor profiling
- Proposal writing, Client presentations
- Strategic support to the sales team
- Analyzing Case Studies on marketing and technical topics
Industry Expertise
- Diverse experience base in various information and communication technology markets including:
• Enterprise communications and infrastructure, mobile and wireless communication, network security with
specific emphasis on projects on technology/ R&D management, funding analysis and roadmapping
SWAPNADEEP NAYAK
2
specific emphasis on projects on technology/ R&D management, funding analysis and roadmapping
What I bring to the Team
- In depth understanding of both technology and management
- Extensive client interaction skill while working on research and consulting projects
- Teamwork & team management skills
Career Highlights
� Prior to Frost & Sullivan, market research experience with Ensine Knowledge Systems Pvt. Ltd
� Market research and product promotion experience with Philips Electronics India Ltd. as part of internship
� Software and website development experience through freelance and academic projects
Education
� Master of Business Administration specialised in Marketing and System from West Bengal University of
Technology (Kolkata, India)
� B.Tech in Computer Science Engineering from West Bengal University of Technology (Kolkata, India)
Swapnadeep NayakSr. Research Analyst
Technical Insights Information and Communication
Technologies
swapnadeepnayak @[email protected]
Frost & SullivanSouth Asia
KolkataIndia
Focus Points
Agenda
• Why is Big Data Analytics important today ?
• Big Data Value Chain
• Security issues hindering Big Data adoption
• Recent trends in Big Data technology
3
• How Big Data converges with technologies in other industries
• Potential Convergence Scenarios
• Potential opportunities for developers
• Conclusion
Why is Big Data Analytics Important Today ?
Big Data Big Data
AnalyticsAnalytics
Efficient information procurement is increasingly critical for businesses to
extract value from various data sources. Big Data Analytics refers to a set of
data management tools, appliances and techniques for effective analysis of
these aggregated business data from various data sources.
4
� Big Data Analytics abolishes the limitations in scalability and slow processingspeed which exists in traditional data warehousing processes.
� Big Data Analytics is capable of processing both structured and unstructured datafrom various sources.
� Big Data Analytics empowers enterprises with real-time extraction of data fromvarious sources.
Importance of Big Data Analytics
Big Data
Big Data Analytics
BI
Big Data Value Chain
Big Data Integrated Platform
End UsersStorage Technology Processing TechnologyApplication Focused
TechnologyDistributors
Securing information at data acquisition
level
Securing information at data management
level
Securing Big Data with Security analytics
application integration
Security Technology Vendors
This slide represents various segment of Big Data which facilitates development of applications (analytics) for end users across various industries
5
Computing Power VendorsStorage Vendors Analytics Application Developers
Source: Frost & Sullivan
Security Issues Hindering Big Data Adoption Key operational and technical issues (1/2)
Operational Issues
• Inter-nodecommunication
• Deployment is done with only minimal amount of security like password protection
• Addressing several critical issues with the architectural and operational flaws couldameliorate the overall security of Big Data platform.
Core issuesof security
6
Technical Issues
Issuescommunication
• “Sharded” data
• Distributed cluster
• No Scalable security
Source: Google
Source: Google
• Nodes and application authentication
• Data protection at Rest
• Monitoring and Audit log
Security Issues Hindering Big Data Adoption Key operational and technical issues (2/2)
Less secured Protocol
Lack of TLC and SSL
Absence of choke-point
Constant movement of data
Operational Issues
Limitation with Kerberos
Security flaws with
7
HDFS Proxy limitation
Model lacks scalability
Technical IssuesTechnical Issues
Security flaws with cloud environment
Lack of encryption with NoSQL
Absence of in-built monitoring features
Security Issues Hindering Big Data Adoption Strategies to address challenges
Encryption
Node
validation
Scalable
Security
Strategies to
8
Kerberos
Usage
Evaluate Log
activities
SSL/TSL Layer
security
Strategies to address Big Data security issues
Recent Trends in Big Data Technology
Big Data space is experiencing rapid changes across various segments -- big data framework, storage, data processing andanalytical application segment.
Enhancement of distributed architecture framework for Big Data. Development of
novel platform.
Scalable data storage for Big Data leveraging cloud computing technologies.
9
Trends in Big
Data Space
Scalable data storage for Big Data leveraging cloud computing technologies.
Improving data processing power with real-time data stream engine.
Analytics application development targeted towards specific industry segments such as health & wellness and energy.
Technology Clusters Benefitting due to Big Data Convergence
Big Data Big Data
Clean and Green Energy
Health & Wellness
Materials & Coating
Information & Communication
Technology
Advanced Manufacturing & Automation
• Clusters benefitting due to Big Data convergence are
10
Big Data Big Data AnalyticsAnalytics
Coating
Sustainable Energy
Sensors & Control
Microelectronics
Medical Device Technology
Technology convergence are highlighted (in red).
Four Health and Wellness Technologies from the Top 50 TechnologyPool Benefit due to Big Data Convergence
Big Data Analytics
Biomarkers
Targeted Drug
Delivery
Targeted case specific
drugs for better treatment.
NextBio, a key player in the
space.
Computational and
laboratory analysis of
biomarkers. Determines
diseases during test
phases.
11
Analytics with Health & Wellness
Next-Gen Sequencing
Personalized Medicine
Handling huge terabytes of
data coming from next-gen
DNA sequencing. BDA
simplifies the process.
Leverages predictive BDA
to address challenges for
specific diseases like
cancer. GNS Healthcare is
one of the key participants.
Six Information and Communication Technologies from the Top 50Technology Pool Benefit due to Big Data Convergence
Big Data Analytics with
Information and
Cloud Computing
Semantic
Virtualization
Data
New concept emerged
through Big Data
Analytics-as-a-Service and
Hadoop-as-a-Service.
Predictive analytics
successfully enrich
the results of
Providing visual
support to enterprise
data for better
Server virtualization helps to
bring down cost for storage
and computing resources thus
enabling cost-effective
analytics solution.
12
Information and Communication
technology
Semantic Search
Augmented Reality
In-Memory Computing
Data Visualization
the results of
semantic search.
Hadoop Distributed File
System (HDFS) is being
used as the backend store
for in-memory Data grids
for real-time applications.
BDA helps to process huge
data collected from mobile
devices to render deep
insights for Augmented
Reality applications
data for better
understanding.
Big Data Convergence with Energy, Remote Patient Monitoring and Non-Volatile Memory
Big Data Analytics with
Microelectronics, Medical Device
Technologyand Sustainable
Next-gen Advanced
Other technologies from clusters like Sustainable Energy, Microelectronics and Medical Device Technology are alsoexperiencing convergence in recent days. These technologies are still in their emerging phase with few initiatives fromdevelopers working on the specific clusters.
Energy efficient Resistive
RAM (RRAM) helps Big Data
for development of advanced
analytical applications. Ex:
Crossbar Inc.
BDA enables efficient
monitoring of energy storage,
thereby helps in reducing the
electricity cost through
convergence. Ex: Stem.
13
and Sustainable Energy
Next-gen Non-Volatile
Memory
Advanced Energy Storage
Remote Patient
Monitoring
Grid Energy Management
Drives actionable insights to
health professionals
monitoring remote patients
through monitoring systems.
Ex: Qualcomm Life
Big Data helps to manage
large decentralized power
network and enables
development of Smart Grid
and Smart Meters.
Potential Convergence Scenarios Convergence with Advanced Manufacturing & Automation, Medical Device Technology and Sensors & Control
Big Data
Analytics
Ubiquitous Wireless Sensors Ubiquitous
wireless sensors could converge with
Big Data Analytics for faster processing of sensor
data and facilitating new applications and services for home and office automation.
3-D Printing
BDA could be leveraged to analyze and identify potential trouble during 3-D printing. 3D printing being a new technology needs quality control tool before mass production.
14
This convergencewill elevate surgical
accuracy. Surgical Robots are likely to be capable of diagnosis and performing
fully automated complicated operations successfully .
Surgical Robots
Energy HarvestingR&D activities on
converging BDA with energy harvesting has just started to enhance process control and monitoring. Wireless sensor platform and Big Data would enable predictive analysis at remote location monitoring for oil and gas industry
Potential Convergence Scenarios Convergence with Sustainable Energy and Sensors & Control
Big Data
Analytics
CBRNE Detection With gradual
collection of data at battlefields, big data
analytics can be used to map trends and patterns in
CBRNE detection across war zone as well as vast
geographies.
SuperconductorsSuperconductorapplications acrossvarious industries like transportation, healthcarecould leverage Big Data analytics to monitor electric power efficiency and diagnosis of propulsion systems and Magnetic Resonance Imaging system.
15
Resonance Imaging system.
Wind PowerApplying analyticsand harnessing bigdata will allow utilities to tackle the intermittentnature of renewable energyand forecast power production from wind.
Potential Opportunities for Developers Viable Segments for New Entrants to attract investors
Analytics for Logistics
Big Data
Analytics in Banking and
Insurance
Smart Energy Management
16
Analytics Applications
Analytics in Retail
Supply Chain Analytics
Green Telematics
Source: Google
Next Steps
Develop Your Visionary and Innovative SkillsGrowth Partnership Service Share your growth thought leadership and ideas or
join our GIL Global Community
17
Join our GIL Community NewsletterKeep abreast of innovative growth opportunities
Phone: 1-877-GOFROST (463-7678) Email: [email protected]
Your Feedback is Important to Us
Growth Forecasts?
Competitive Structure?
What would you like to see from Frost & Sullivan?
18
Emerging Trends?
Strategic Recommendations?
Other?
Please inform us by “Rating” this presentation.
Follow Frost & Sullivan on Facebook, LinkedIn, SlideShare, and Twitter
http://www.facebook.com/FrostandSullivan
http://www.linkedin.com/companies/4506
19
http://twitter.com/frost_sullivan
http://www.linkedin.com/companies/4506
http://www.slideshare.net/FrostandSullivan
For Additional Information
Britni Myers
Corporate Communications
Information & Communication Technologies
(210) 477-8481
Swapnadeep NayakTechnical Insights
Sr. Research Analyst
033-6627-3360
20
Vedavalli Rangan
Technical InsightsIndustry Manager
044-616-066-66
Craig hays
Sales Manager
Information & Communication Technologies
(210) 247-2435