HUAWEI TECHNOLOGIES CO., LTD. Make IT Simple, Make Business Agile Petri Pekkarinen Director, Huawei Enterprise
HUAWEI TECHNOLOGIES CO., LTD.
Make IT Simple, Make Business Agile
Petri Pekkarinen Director, Huawei Enterprise
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Contents
Case Study
Huawei Introduction
Analysis of X in 1 Big Data Technology
123
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Worldwide Expertise
16 R&D Centers
170+ Countries
14 Regional HQs
28 Joint Innovation Centers
150,000 Employees Worldwide
45 Training Centers
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Contents
X in 1 Big Data Technology
Huawei Introduction
The Data Wave in Cloud Era
123
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HUAWEI ENTERPRISE ICT SOLUTIONS A BETTER WAY
Changing our World in Many Ways
Smart Shopping Financial Investments
Inventory Management
Emergency Response
Smart Energy
Credit Card Transactions
Customized Advertising
Customized Advertising Smart Shopping Financial
Investments Inventory
Management Emergency Response
Smart Energy
Video and Security Surveillance
Video and Security Surveillance
Customized Advertising Smart Shopping Financial
Investments Inventory
Management Emergency Response
Credit Card Fraud Capture
Credit Card Fraud Capture
Video and Security Surveillance
Customized Advertising Smart Shopping Smart
Energy
Financial Investments
Smart Energy
Emergency Response
Inventory Management
Customized Advertising
Smart Shopping Credit Card Fraud Capture
Video and Security Surveillance
HUAWEI ENTERPRISE ICT SOLUTIONS A BETTER WAY
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HUAWEI ENTERPRISE ICT SOLUTIONS A BETTER WAY
Big Data
Internet / Social Media
Scientific Instruments
Mobile Devices
Sensor technology
and networks
Data Volume Has Increased Exponentially
Variety Volume Velocity
= VALUE?
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Capacity
Performance
Capacity vs. Performance
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Performance Bottlenecks That Must Be Resolved for Big Data
Scale-out expansion Block virtualization
Scale-out expansion Distributed file system
Computing bottleneck
Storage bottleneck
Network bottleneck
Database bottleneck
Single Server System
Cluster
Dual-Controller Storage Array
NAS
Scale-Out Expansion
Block
Virtualization
Distributed file system
GE, Fibre Channel
Fibre Channel
10 GE, Fibre Channel, IB
10 GE, SAS, IB
Distributed database, No SQL database
Relational database
= =
=
=
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Contents
X in 1 Big Data Technology
Huawei Introduction
The Data Wave in Cloud Era
123
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HUAWEI ENTERPRISE ICT SOLUTIONS A BETTER WAY
To Extract Value from Big Data We Need To
Velocity Volume Variety Analyze Hold & Store Capture
HUAWEI ENTERPRISE ICT SOLUTIONS A BETTER WAY
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HUAWEI ENTERPRISE ICT SOLUTIONS A BETTER WAY
V A L U E
BIG DATA Requires Innovation Tools, Ecosystem and Infrastructure
Analyze Hold & Store Capture
HUAWEI ENTERPRISE ICT SOLUTIONS A BETTER WAY
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Flexible Scale-‐Out Pla;orm
Informa?on silos
eliminated
Mul?ple interfaces and
ability to integrate
Reliable and redundant
Efficient and Intelligent Unified
Management
What is expected from Efficiant Big Data Platform?
Efficient Big Data Platform
Big Data Infrastructure must
achieve high efficiency besides meeting the
requirements of capacity,
performance and
diversity of data
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Huawei OceanStor 9000 Innovation
Analysis
Storage
Archive
! Linear expansion from 3 to 288 nodes ! NFS/CIFS interfaces ! HDFS interface ! S3 Interface
! Quick data import ! Support for JDBC and ODBC ! SQL 92/2003 ! Data compression
! Single disk power off ! Data archive
• Distributed architecture , Scale out NAS、Scale out DB、Scale out Backup, X in 1 Big Data Appliance • Structure & Unstructured data in one pool, information life cycle management, archiving
THANK YOU www.huawei.com
Copyright©2014 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.