Big data and education is an important topic, with key challenges around data integration, skills, and privacy protections. Huawei provides big data storage solutions to help address these issues by providing a robust, high performance infrastructure that can integrate, store, process, model, and visualize large amounts of educational data. This assists with increasing educator effectiveness, delivering personalized education, and equipping students with relevant skills, but clear policies are still needed regarding privacy protections for learners.

1. Big Data and Education
Huawei Initiatives
Santiago Julián, IT Product Manager, Enterprise Business Group
León, October 23rd, 2015

2. 1
Big Data
Cloud
BYOD
Media &Entertainment
VirtualizationSDS
2020年全球数据总
量
40ZB（Gartner）
Background of Big Data

3. 2
Where do Massive Data Come From?
Amount of Global shared
digital information
increase 5 9 times during
the last 5 years, up to
3.8ZB in 2013
CERN： The particle
collision from LHC
generate 1PB/s data
SKA：amount of data will
get to 1EB in 2015
“Cloud IDC” help the
centralization of massive
data
Facebook：50TB journal
data and also related
100TB Data is created
everyday
“Machine-made”and“Man-made”contribute to massive data together
Big IDC accelerate data centralization

4. 3
Big Data – An IT Definition
A technical term with big
business impact

5. 5
Key Findings
• Increase Educator effectiveness
• Harness insights from learning experiences
• Deliver education for all that is also tailored to individual learners needs
• Equip students with relevant skills for their future careers
• Building an educational community around Big Data in Europe should be a priority
• Europe lags behind the US in developing Big Data Strategies
• Big Data technologies have the potential to revolutionise learning, but it is essential
that clear policy directives on maintaining privacy protections

6. 6
Big Data Analytics Challenges
Course
Information
Course
Website
Emails Surveys
Server
Logs
Browser
Logs
SQL Dump
Student Info
Forums
Data
PLATFORM
Integrate Store Process Model Visualize
DATA TRACE

7. 8
How to mitigate the risks
• Raise public awareness around BD and its potential for education
• Reduce public fears by developing the science base and providing user generators
with tools and skills to enable them to be in control of their data
• Develop privacy laws that respond to the needs of society with inbuilt long term
planning

8. 9
Unique Challenges of Big Data
• Data Integration is crucial but governance and data quality need to be key
• BD is highly dependent on skilled developers. Needed user-friendly developer tools
• BD involves learning complex technology
• The focus is near real-time data
• Poor data quality can significantly impact effectiveness of BD projects.
• Lack of a common language accross platforms

9. 11
Strategies of Huawei Big Data Storage
Robust infrastructure
The Highest Performance In the World
Innovated Efficiency Improvement
Storage-Analysis-Archiving 3 in 1,Automate
Information Life Cycle Management
Intelligent Application Aware
Multi-Interface, Conditional Access
,Open Architecture
Core
ConvergentIntelligent
Bestefficiencyplatform
ofbigdata

10. 12
OceanStor 9000, Convergence for Data Home
 Scale out Performance & Capacity
 Linear Investment with small Premise
 Automated Load Balance
 1 Minute per Node in Cascading
Performance
Capacity
288 NODES – 170 Gb/s – 40PB

11. 15
Huawei FusionInsight: Business, Math, Technology – Best combination
Mass data storage, batch processing, iterative processing,
and real-time stream processing
Manager
Unified
management
RH2288
Generic X86 server
OceanStor 9000
Big data storage
Data insight
platform
Data processing
platform
Big data
infrastructure
FusionInsight
Data integration
platform
Collect
Clean
Change
Feature/Model/Mining/Visualization/Service
Service-related application suite (service logic/decision-making/security/data open/ visualization...)
Application
suite layer
Telecommunication
CDR query, operation
analysis, and precision
marketing
Bank
Entire life cycle analysis, historical
details, precision marketing, online
credit investigation and risk control,
etc.
Industry
applications
Public security
Gate data analysis
Intelligence analysis
Population management

12. 17
Summary
• Value is the most important for Big Data
• Addressing the issues of Big Data policy responses for
education, teaching, learning and innovation is a political
issue as well as an educational and technical issue.
• Big Data issues are not just matters for IT departments and computer scientists but
are also a matter for education policy.
• European citicens need to learn to challenge privacy risks and ensure accountability
in the system.

13. 18
未来展望
Huawei big data storage product
and solution is based on the
idea—intelligence on demand
and convergence for future and
We insist on the “be integrated”
strategy. We are dedicated to
create excellent storage
infrastructure, and looking
forward to cooperating with
customers and partners to
contribute value to society. We
believe we can together open the
gate of big data era!

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