make it simple, make business agile - hte

HUAWEI TECHNOLOGIES CO., LTD.

Make IT Simple, Make Business Agile

Petri Pekkarinen Director, Huawei Enterprise


Contents

Case Study

Huawei Introduction

Analysis of X in 1 Big Data Technology

123


Worldwide Expertise

16 R&D Centers

170+ Countries

14 Regional HQs

28 Joint Innovation Centers

150,000 Employees Worldwide

45 Training Centers


Contents

X in 1 Big Data Technology

Huawei Introduction

The Data Wave in Cloud Era

123


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


Customized Advertising Smart Shopping Financial

Investments Inventory

Management Emergency Response

Credit Card Fraud Capture

Credit Card Fraud Capture


Customized Advertising Smart Shopping Smart

Energy

Financial Investments

Smart Energy

Emergency Response

Inventory Management

Customized Advertising

Smart Shopping Credit Card Fraud Capture



HUAWEI TECHNOLOGIES CO., LTD. enterprise.huawei.com Huawei Confidential Page 6


Big Data

Internet / Social Media

Scientific Instruments

Mobile Devices

Sensor technology

and networks

Data Volume Has Increased Exponentially

Variety Volume Velocity

= VALUE?


Capacity

Performance

Capacity vs. Performance


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

= =

=

=


Contents

X in 1 Big Data Technology

Huawei Introduction

The Data Wave in Cloud Era

123



To Extract Value from Big Data We Need To

Velocity Volume Variety Analyze Hold & Store Capture




V A L U E

BIG DATA Requires Innovation Tools, Ecosystem and Infrastructure

Analyze Hold & Store Capture



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


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.

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