3
Mobile Internet Era Coming with 3G and LTE
Data Flood is Coming: The large variety of
data influence the whole society, including
Enterprise, Government and Person.
CSP under Strategic Transformation: From
scale operation to data traffic operation,
more care value.
Big Challenge: Share and efficient use
data in a more safe and efficient way.
4
80% of all storage capacity
sold now is for file-based data
Digital universe will
reach 40 ZB by 2020
0
20
40
60
80
100
2011 2012 2013 2014
Exa
byt
es
File based: 61.8% CAGR
Block based: 23.7% CAGR
IDC research shows that
about 60% of investments
on big data are infrastructure-
related.
Big Data Market and Technology Trends
5
Big Data Triggers Commercial Reform
Finance Medical
AliFinance uses big data in
lending, which changes the
banking industry.
More than RMB 30 billion is lent
with the charge-off rate of only
03%, and the daily interest
reaches RMB 1 billion.
Google forecasts the flu
tendency based on flu
keywords.
This method outruns the
traditional method by 2
weeks, which has been
published in the Nature
magazine.
E
Netflix presented House of
Cards using big data, which
changes the movie and TV
industry.
20 days after the TV series
were first presented, they are
watched for more than 3.4
million times.
Entertainment
Big data is used in analyzing
weather forecast, crop growth,
and soil data.
In this case, crop harvest can be
forecasted comprehensively,
which helps providing
personalized insurance services
for peasants.
This is an era with both opportunities and challenges
Agriculture
Mary Meeker (Queen of the Net): I think people's lives are better because they have access to all
this information at a very low cost. Entertainment is cheaper, it's easy to get help, it's easier to
stay out of trouble.
6
VS
Data mining and predictive analysis
Efficiency and accuracy improved
VS
Customer self-service
Cost down and convenience
VS
Distributed and Automatic
Scalability and maintenance
VS
Quick response
Agile development cycle
Change is Happening around us
7
Gartner: CSP(Telco) Big Data TOP 8 Use Cases
According to research of current and potential application of big data,
Gartner identified TOP 8 Use Cases for CSPs.
1. Top-Level key performance
indicators(KPIs)
2. Marketing-Customer experience
3. Networks-Customer experience
4. Product/device management
5. Customer services
6. Marketing
7. Third-party uses
8. Vertical uses
8
Servers Networks Storage Security Engineering
Payment info Location info Relationship Warnings
Services Contents
Partners Inhouse Call SMS video
…… ……
Network Data
Operation Data
Business Data
To C:End-User
To B:Enterprise
To Self:CSP
Personalized,Intelligent,Long-tail
product/services
Data openness, Smart
Business
Assist decision,Targeted marketing
Public Information
(Government, Transport, Jobs)
Social Information
(Sports, Entertainment, SNS)
1
2
3
Data Ingestion
Data Storage
Data Analysis
Data Decision
Business Value Chain of CSP
9
CSP Big Data Trends:
Federation, Business-Driven, Openness
Business Domain
Operation Domain
Network Domain
Unified Modeling
logic unification, Physical
dispersion
Open API Vision: Open Data Service
Business Case Apps for market and customer insight
Data Federation Centralized Customer
Data Management
Customer info, Business contract info, Historical service data
Customer contract and behavior data from self or mobile internet
Real-time network user behavior data
10
App Server
DB
Tape
Structure Data
NAS
Non-Structure Data
Before: Traditional Solution
HDFS Cluster
HBase Cluster
MapReduce /
Hive Cluster
After: Big Data Solution
Non-Structure Data
Structure Data
Traditional Data Solution vs. Big Data Solution
11
Precise Marketing
Improve Efficiency
Experience Enhancement
Innovative Business
Big Data Business Scenarios
Real-time Decision
12
BI Analysis
network signaling
analysis
CRM historical data
Inquiry
Data Collection
Real time data
ERP Stru
ctu
red D
ata
CRM
Other
System
……
Web
log
Unstru
ctu
red d
ata
DPI
……
Internet
Data Backward
Web crawler
IDE & OM
precision marketing
Multi-tenant
Parallel Data Mining
(Customer Profile)
Streaming
Big Data Platform
(FusionInsight)
Map Reduce
…… …… Scale-out NAS
detailed statement
inquiry
third party Data
Service
Data App
…… ……
Customer
Service
FusionInsight Solution in CSP
X86 Server Cluster
Data Warehouse (IOE)
13
HUAWEI Case in CSP
DC1
Hadoop Cluster
X86 Server
DC2
Hadoop Cluster
X86 Server
6 month CDR, on-line
inquiry platform Backup Long term for analytics
and statistics for
Operation \ Network\
Business Domain
Distributed CDR center
SQL Engine
User Behavior
Analysis
Third party
Data Service Gateway
Big data Gateway
On-line
inquiry
CDR
statistics
CDR
analytics
Big Data (Distributed Database)
Event-Triggered Campaign
Execution Platform
Environmental
Monitoring
Intelligent
Medical
Public Safety Intelligent
Transportation
Manufacturing
and Logistics
Financial Anti-
Fraud Risk
14
Business area precise marketing activity
after the credit card consumption near
Shenzhen coastalcity, a shopping mall
HUAWEI Case in Financial Service
Social
Index
Historic
Breakdown
Online
Credit
Transaction
Context
Online
Marketing DB / DW
FusionInsight
Easy to Use
HA & Secure
POS
ATM
On-site
Telephone
Internet
Possible
Financial Asset
Financial
Networking
Real time
Batch load Internet
Real-time Precise Marketing
15
Data Service
Storage
High-capacity X86 Server
X86 Server Converged Infrastructure (FusionCube)
Complex Relational Data (Data Warehouse)
Relational Database(MPP/Oracle) Distributed Computing Framework
(FusionInsight Hadoop)
Large-scale data processing
Third-party App Carrier
Internal IT Carrier Network
Optimization
Enterprise-level Big Data Platform
Scale-out NAS OceanStor 9000
16
FusionInsight Hadoop, Enterprise-level best practice
Fu
sion
Insig
ht H
ad
oo
p
Data Loader
Apache Hadoop
HDFS
HBase ZooKeeper Oozie
Hive
YARN
FusionInsight Hadoop Manager
Linux Patch and enhancement for Hadoop
MapReduce
FusionInsight Hadoop Enhancement
Spatio-
temporal
DB
Deep user
modeling
SQL
Engine R
Data Service
Concurrency control
Dynamic schedule
Dev Tool
Authorization Mgt.
HA Encryption
Northbound interface
Log tool
Monitor and alert
Deployment and Upgrade
Configuration management
Audit log
User Management
Backup & DR solution
Continue to contribute to open source community, and release Hadoop Distribution for enterprise customer
17
Scale-out NAS
NFS/CIFS/HDFS SQL HTTP/S3 MR/HBase
MPP DB
ENGINE
HADOOP
ENGINE
OBJECT
ENGINE
NATIVE
INTERFACE NATIVE
INTERFACE
NATIVE
HDFS
Multi-Workload Scale-Out Storage
Platform
Leading Storage Efficiency and
Scalability
End-To-End Data Protection
Enterprise-Level Hadoop Model
Native Integrated Hadoop/ MPP-
DB/Object
Unified Management
DISTRIBUTED
RAID
LOAD
BALANCE
QUOTA
MGMT
STORAGE
TIERING
Scale-out NAS: HUAWEI OceanStor 9000 big data storage
Copyright©2012 Huawei Technologies Co., Ltd. All Rights Reserved.
The information in this document may contain predictive statements including, without limitation, statements regarding the future financial and operating results, future product
portfolio, new technology, etc. There are a number of factors that could cause actual results and developments to differ materially from those expressed or implied in the predictive
statements. Therefore, such information is provided for reference purpose only and constitutes neither an offer nor an acceptance. Huawei may change the information at any time
without notice.
HUAWEI ENTERPRISE ICT SOLUTIONS A BETTER WAY