2013 Road Map with EMC Academic Alliance

1© Copyright 2012 EMC Corporation. All rights reserved.

EMC Academic Alliance“ Preparing the next generation of IT professionals for careers in today’s complex and rapidly evolving IT landscape with focus on careers in information infrastructure, cloud computing and Big

Data analytics.

2013 Road Map


Agenda

EMC Academic Alliance Overview

EMC In 2012

Industry Transformation

EAA Course Offerings

Additional Offerings

Road Ahead


EMC Academic Alliance Program Partnering with leading colleges and

universities worldwide to educate students on emerging information technologies.

Launched in 2006 to address the Information Storage knowledge GAP.

Successfully educated more than 80,000* students across 50+ countries through 800+ partner institutions, on Information Storage and Management.

Key program resources – At Zero cost• ‘open’ courseware• Knowledge Transfer and Training to faculties• Secured online faculty community• Secured student portal

*As of Dec 2011


EAA’s Expanding Presence Around the World 80,000+ Students across 53 countries

Singapore

China

Australia

United States

Canada United Kingdom

India U.A.E.

Russia

Philippines Thailand

Turkey

Malaysia

Egypt

Brazil

Ireland

Chile

Hungary

Tunisia

Germany Estonia

Latvia

Jamaica

Serbia

Pakis

tan

Kazakhstan

Lithuania

Ghana Rwanda

S. Korea

Armenia

MoldovaSweden

Greece Mexico

Tanzania

Senegal

Spain

Sri Lanka

S. Africa

Poland

Bahrain

Colombia

Peru

ScotlandSwitzerland

New Zealand

Kenya

Macedonia

Costa Rica

France


Americas EMEA APJ

Brazil (85) Egypt (11) Russia (47) Australia (4)

Canada (11) Germany (10) Scotland (1) China (214)

Colombia (1) Ireland (2) Senegal (1) India (218) *

Mexico (2) Latvia (1) South Africa (1) Malaysia (4)

Peru (1) Lithuania (2) Switzerland (1) Philippines (2)

United States (188) Pakistan (2) Turkey (3) Singapore (4)

Chile (1) Poland (3) United Kingdom (3) South Korea (7)

Costa Rica(1) Armenia(1) Belgium (1) Thailand (4)

Dominican Republic (1) Bahrain(1) Estonia (1) Kazakhstan(5)

Jamaica(1) Ghana (1) France(1) New Zealand(2)

Hungary (1) Greece (1) Sri Lanka (1)

Kazakhstan (5) Kenya (2)

Moldova (1) Macedonia (1)

Academic Alliance – Institutes


EMC Academic Alliance Partners

http://www.georgiasouthern.edu/


Agenda


EMC In 2012




Road Ahead


Serial Innovator, Market Consolidator9-Year $26.8B Investment In Market Leading Technology 2003-2011

M&A $14.5B

R&D $12.3B

2003AND BEFORE

2005

2007

2009

ENTERPRISESTORAGE

INFORMATIONLIFECYCLE

MANAGEMENT

INFORMATION & VIRTUAL

INFRASTRUCTURE

JOURNEYTO THECLOUD

CLOUD &BIG DATA


Financial Strength To Keep Innovating

Note: All financial data for year 2011 except market capitalization, which is as of May 7, 2012. R&D investment as a percentage of revenues includes capitalized R&D.

Fortune 500 Rank (revenue) 139

Barron’s 500 Rank (performance) 12

Revenues $20.0B

Free Cash Flow $4.4B

R&D Investment (as % of revenues) 11%

Cash And Investments $10.8B

Market Value $58B


Our Global Presence

Melbourne, Australia

Rio de Janeiro, Brazil

Hopkinton, MAGlobal Headquarters

Bedford, MA

Franklin, MA

Cambridge, MA

Roy, UT

Singapore

Durham, NCApex, NCIrvine, CA

Burlington, Ontario

Duluth, GA

Santa Clara, CAPalo Alto, CA

Pleasanton, CA

Bangalore, India

Brentford, UK Vienna, Austria

Pau, France

Rotterdam, Netherlands

St. Petersburg, Russia

Cairo, Egypt

Tel Aviv, Israel

Beijing, China

Shanghai, ChinaTokyo, Japan

Seoul, S. Korea

Be'er Sheva, Israel

R&D Center

Centers of Excellence

Customer Support Center

Executive Briefing Center

Global Solution and Engineering Center

Manufacturing Center

Direct Presence

Seattle, WA

Chengdu, China

as of June 30, 2011

Sydney, Australia

Cork, Ireland50,000 people 83 countries


Three Approaches to IT ConsumptionÜber-Cloud

ServerStorage

Verticalization

Applications

DatabaseOperating System

Middleware

Systems IntegratorsSystems Integrators

Service Providers?

NetworkSilicon Storage PoolCPU Pool Network

Virtual Infrastructure

Virtualization

Applications

DatabaseOperating System

Middleware

Service ProvidersSystems IntegratorsSystems Integrators


Three Paths To Cloud Infrastructure

Best Of BreedInfrastructure Components

ProvenInfrastructure

Partner VSPEX

Converged Infrastructure

VCE VBLOCKEMC Products


Big Data Models

One Database To Rule Them All

The Kitchen Sink Unified Analytics Platform

Exalytics

Big D

ata Appliance

Private/Hybrid Cloud Infrastructure or Appliance

Data Access & Query Layer

Third-Party/Partner Tools & Services

Greenplum Chorus – Analytic Productivity

Greenplum Hadoop

Greenplum Database

DATA

SC

IEN

CE T

EA

M


Agenda


EMC In 2012




Road Ahead


Waves Of IT Transformation

Mini

Mainframe

Networked/Distributed Computing PC/

Microprocessor

CloudComputing

(IT as a Service)


Mainframe & Mini Computing

\

Custom LSI

Monolithic

KB

Proprietary

Tape → Disk

ISAM

COBOL

Financial Systems

Terminal

$$$$$$

Chipset

Topology

Language

Network

Storage

Data Model

Memory

Cost End User Device

Killer Application


Client/Server Computing

\

Chipset

Topology

Memory

Network

Storage

Data Model

Language

Killer Application

End User Device

Cost

Few/Shared RISC

Clustered/Scale-Up

MB

IP

Disk

RDBMS

C, C++, Java

ERP, CRM, SCM

Windows PC

$$$


Cloud Computing

\

Chipset

Topology

Memory

Network

Storage

Data Model

Language

Killer Application

End User Device

Cost

X86 Multicore

Virtualized Scale-Out

TB

IPv6 Virtual Network CNTRL

Disk/Flash

NoSQL, Hadoop

Spring, Rails, Node.js

Real Time Analytics

vPC, Tablet, S-Phone

$


New Roles in ITImperativeBusiness and financial managementCloud Business Solution consultants

IT Service Management

New focus areaCloud service operations managementCloud Service Managers

Infrastructure

as a Service

Platform as

a Service

User

Interface as

a service

Enterprise

Applications

as a Service

New roles emergingCloud Architect, Cloud Admin Cloud Capacity PlannerIT Automation Engineer , Cloud Infra Admin , Cloud Process Engineers , Cloud Security Architects , Cloud GRC managers

Virtual Infrastructure Architecture

Virtual Infrastructure Management

SecuritySystems Storage

Backup

and

Recovery

Data

Center

Networks

Traditional roles are still essential


Agenda


EMC In 2012




Road Ahead


MASSIVEOPPORTUNITY


INFORMATION STORAGE AND MANAGEMENT v2

Key Technology Strategies for Classic, Virtualized, and Cloud Environments

• Challenges and Solutions for Data Storage and Management

• Intelligent Storage, Object-based Storage, and Unified Storage

• Storage Networking, Federation, and Protocols

• Backup, Recovery, Deduplication, and Archive

• Business Continuity and Disaster Recovery

• Cloud Computing and Converged Infrastructure

• Storage Security and Virtualization

Who Should attend -

IT professionals responsible for managing information storage infrastructure

Experienced storage professionals looking for exposure to the modern storage infrastructure

IT teams involved in planning, designing, deploying, or managing information infrastructure

Students and IT professionals looking to build a career in the information storage industry

Individuals seeking EMC Proven Professional Information Storage Associate (EMCISA) certification

Storing, Managing, and Protecting Digital Information in Classic, Virtualized, and Cloud Environments


INFORMATION STORAGE AND MANAGEMENT v2

Sec1. Storage System

•Information Growth and Challenges, big data•Virtualization & Cloud•Storage systems environment•Compute, application, desktop virtualization.•RAID, Intelligent Storage Systems, Virtual provisioning

Sec2. Storage Networking

•FC SAN, VSAN, Block level virtualization, Storage Federation•IP-SAN, FCOE•NAS, scale-out NAS File level virtualization, VLAN•Object based storage• Unified storage•Converged networking

Sec3. Backup, Replication,

Archive

•RTO, RPO, BCP•Backup, Backup in virtualized environment•De-duplication•Local and Remote Replication, CDP•Replication in a virtualized environment•Archive

Sec4. Cloud Infrastructure

•Cloud benefits, characteristics•Services•Deployment models•Infrastructure•Migration considerations•Converged infrastructure

Sec5. Storage Security and Management

•Storage security frame work

•Security Domains and implementations

•Security in Virtualized and cloud environment

•Monitoring and Managing storage infrastructure

•Storage tiering and ILM• Cloud management

ISM V4*

• Storage architectures and key data center elements• Physical and logical components of a storage infrastructure including storage subsystems, RAID, and intelligent storage

systems• Storage networking technologies such as FCoE, object-based and unified storage• Business continuity solutions, backup, replications, and fixed content archive • Characteristics of cloud services, deployment models, and infrastructure components • Information security requirements and solutions, key parameters for managing and monitoring storage infrastructure


The knowledge you gain through the ISM v2 ‘open’ course can be applied to impact business decisions in a variety of ways.



Backup Recovery Systems & Architecture ‘OPEN’ CourseBackup theory, Information storage concepts, backup client, backup storage node, backup and recovery planningTheory Information Storage Concepts Client Storage Node Planning

• Identify the reasons for backup and recovery• Define common backup and recovery terms• Identify the components of the client/server backup server architecture• Describe the flow of data in client/server backup and restore operations

• Describe disk drive components• Describe the major components of a storage system• Distinguish between storage systems and intelligent storage systems• Describe the various RAID levels and how data is protected by each level• Describe the components of an intelligent storage system• Explain the benefits of direct-attached storage• Describe SCSI architectureIdentify Storage Area Network (SAN) components and terminology• Identify Network-Attached Storage (NAS) components and terminology• Describe storage system features used in backup and recovery• Describe Continuous Data Protection

• Identify the major sources of backup data• Describe considerations for backing up file system and database data• Describe how data is stored across different types of databaseapplications• Describe how Microsoft VSS is used in backup operationsDescribe how data is backed up from file servers• Define NDMP and describe the backup challenges that NDMP addresses• Describe the different forms of virtualization• Describe methods for backing up VMware backup clients• Discuss considerations and challenges impacting client backup environments,including desktop/laptop and remote office clients• Identify factors that impact client backup performance

• Describe storage node components• Identify the protocols used when writing backup data• Describe the advantages and disadvantages of various types of backup storagemedia and technologies

• Describe backup and recovery planning considerations• Describe the importance of backup and recovery testing• Identify backup system disaster recovery considerations• Describe key software and hardware products in EMC’s Backup and RecoveryPortfolio• Propose a backup and recovery solution


CLOUDTRANSFORMS IT


?Private Cloud Public Cloud

Which Deployment Model Will Win ?


S E

C U

R I T

YA

U T

O M

A T

I O NInfrastructure

Transformation

Each Layer In IT Will Be Transformed

Private

Hybrid Cloud

Public

End User ProvisioningTransformation

ApplicationTransformation


EMC’s Cloud Education Solutions• Comprehensive ‘open’ -curriculum training and

certifications– Focus on concepts and principles of technology– Applicable to any/multi-vendor products/solutions

• Based on National Institute of Standards and Technology (NIST) definition of Cloud Computing

• Creative self-paced learning in addition to traditional classroom training

• Robust, multi-tiered curriculum aligned to industry-standard EMC Proven Professional certification

• Currently over 4,000 have completed the existing curriculum

Essential characteristics of cloud computing (Source: NIST)

A


Cloud Infrastructure and Services Training and EMCCIS Certification

Principles and Concepts of Virtualization and Cloud Infrastructure TechnologiesProvides required technology foundation for Cloud Infrastructure and Services

Enables IT professionals to make Informed decision on migration to Cloud

• Journey to Cloud Computing

• Overview of Classic Data Center Environment (Server, Storage and Network)

• Virtualization: Compute , Storage, Network, Application, and Desktop

• Backup Recovery, and BC in a Virtualized Environment

• Cloud Security

• Cloud Infrastructure and Management

• Migrating to Cloud

• EMC Customers, Employees, Partners, Industry IT professionals, and Students• Prerequisite Knowledge/Skills

– Good knowledge of computer architecture, operating systems, and networking in a classic data center environment

NEW

A


Cloud Infrastructure and Services - course topics

Introduction to Cloud Computing

Classic Data Center (CDC) technologies

Virtualization Technologies

Desktop and Application virtualization

Cloud models and Cloud infrastructure

Cloud Security and Migration

Cloud business drivers

What is Cloud computing

Cloud infrastructure framework

Transition from CDC to Cloud

Compute Logical components Server clustering

Storage RAID, DAS, FC-SAN, IP-SAN, FCoE, NAS Object storage Unified storage

Network Compute to compute Compute to storage Protocols

Business Continuity Backup recovery Local replication Remote replication

Management Tasks Monitoring Alerts ILM

Compute Hypervisor components Resource mgmt. P2V conversion

Storage Block & File level virtualizations Thin provisioning Automated storage tiering

Network VLAN, VSAN Network traffic mgmt.

Business continuity Single points of failure Backup, Recovery of virtual machines (VM) VM migration VM replication Site failure disaster recovery

Desktop virtualization Implementation Benefits Considerations

Application virtualization Implementation Benefits Considerations

Characteristics (tenets) of cloud computing

Service models

Deployment models Economics of cloud computing

Benefits and challenges

Infrastructure components

Services and creation processes

Services management processes

Security concerns and counter measures

Access control and Identity mgmt.

GRC and Best practices

Migration considerations Models Users Applications Vendor selection criteria Vendor lock-in SLA Open standards

Cloud models and users applications

Phases of adopting cloud

A


The knowledge you gain through the CIS ‘open’ course can be applied to impactbusiness decisions in a variety of ways


Labs for Hands –on


BIG DATATRANSFORMSBUSINESS


IN 2000 THE WORLD GENERATED

TWO EXABYTESOF NEW INFORMATION

Sources: “How Much Information?” Peter Lyman and Hal Varian, UC Berkeley,. 2011 IDC Digital Universe Study.


Sources: “How Much Information?” Peter Lyman and Hal Varian, UC Berkeley,. 2011 IDC Digital Universe Study.

IN 2000 THE WORLD GENERATED

TWO EXABYTESOF NEW INFORMATION

EVERY DAY

2011

MORE

THAN


Functional Areas Where Companies Are Using Big DataHow Companies Are Using Big Data

McKinsey Global Survey of 1,469 C-level executive respondents at a range of industries and company sizes, “Minding Your Digital Business,” 2012.

Customer Intimacy

Budgeting & Planning

Operations & Supply Chain

Customer Service

Performance Management

New Product Strategy

Pricing

0 10 20 30 40 50

49%

39%

37%

33%

30%

28%

21%


big•data \ datasets so large they break traditional IT infrastructures.


High

FuturePast

TIME

BUSINESS VALUE Business

Intelligence

Predictive Analytics & Data Mining (Data Science)

Typical Techniques & Data Types

• Optimization, predictive modeling, forecasting, statistical analysis

• Structured/unstructured data, many types of sources, very large data sets

Common Questions

• What if…..?• What’s the optimal scenario for our business ? • What will happen next? What if these trends

continue? Why is this happening?

Business Intelligence Typical Techniques & Data Types

• Standard and ad hoc reporting, dashboards, alerts, queries, details on demand

• Structured data, traditional sources, manageable data sets

Common Questions

• What happened last quarter?• How many did we sell?• Where is the problem? In which situations?

Data Science

EMCDSA Course – The Data Science Focus

Low


Main Objectives of the Data Science & Big Data Analytics Training and Certification

• Immediately participate and contribute as a data science team member on big data and other analytics projects

• Assist reframing of a business challenge as an analytics challenge

• Deploy a structured lifecycle approach to data science • Apply appropriate analytic techniques and tools to analyze big

data • Tell a compelling story to drive business action• Use tools such as R, MapReduce, Hadoop, in-database analytics

D


Data Science Training and Certification (EMCDSA)Data Science and Big Data Analytics Course

Provides a practical foundation for Data Science and Big Data Analytics Enables immediate and effective participation on big data and other analytics projects

• Introduction to Big Data Analytics

• Big Data Analytics Lifecycle

• Using R to execute basic analytic methods

• Advanced Analytics and Statistical Modeling for Big Data: Theory and Methods

• Advanced Analytics and Statistical Modeling for Big Data: Technology & Tools

• The Endgame, or Putting it All Together

Audience

• EMC Customers, Employees, Partners, Industry IT professionals, recent College Graduates, and Graduate Students

• Individuals with appropriate Background, Qualifications, and Behavioral Attributes , often but not exclusively

exemplified by current roles such as:

• Business Analyst, Data Analyst, Database Analyst, Database Architect, Database Administrator, Programmer, Operations Researcher, Human Factors Engineer, Electrical Engineer, Mathematician, Statistician, Physicist …

NEW

D


Topics : Data Science and Big Data Analytics Course

43

Introduction to Big Data Analytics+ Data Analytics Lifecycle

Review of Basic Data Analytic Methods Using R

Advanced Analytics – Theory and Methods

Advanced Analytics - Technology and Tools

The Endgame, or Putting it All Together+Final Lab on Big Data Analytics

Big Data Overview

State of the Practice in Analytics

The Data Scientist

Big Data Analytics in Industry Verticals

Data Analytics Lifecycle

Using R to Look at Data - Introduction to R

Analyzing and Exploring the Data

Statistics for Model Building and Evaluation

K-means Clustering

Association Rules

Linear Regression

Logistic Regression

Naive Bayesian Classifier Decision Trees

Time Series Analysis

Text Analysis

Analytics for Unstructured Data (MapReduce and Hadoop)

The Hadoop Ecosystem

In-database Analytics – SQL Essentials Advanced SQL and MADlib for In-database Analytics

Operationalizing an Analytics Project

Creating the Final Deliverables

Data Visualization Techniques

+ Final Lab – Application of the Data Analytics Lifecycle to a Big Data Analytics Challenge


The Lab Environment• Hardware:

– VMWare Servers – Individual Virtual Machines

• Software – Open Source:– Data stored in Greenplum Community Edition

Database (GPDB)– Access from desktop browsers

• Microsoft & Apple Mac– Analytics via:

• RStudio• PSQL interface for GPDB• Hadoop• MADlib

RStudio

http://madlib.net/index.html


TRUSTTRANSFORMS

CLOUD


Static (Bolt-On) DefensesSignature-Based, At Perimeter

Static InfrastructurePhysical, IT Controlled

Static AttacksGeneric, Systems-Based

Old World: Static Security


Dynamic (Built-In) DefensesAnalytics & Risk-Based

Dynamic InfrastructureVirtual, User-Centric

Dynamic AttacksTargeted, Human-Based

New World: Dynamic Security

PublicClouds

HybridCloud


This course provides an overview of the concepts, processes, and best practices needed to successfully secure information within Cloud infrastructures

Cloud Security

Introduction to Cloud Computing

– Cloud Overview

– Cloud Service Models

– Cloud Deployment Models

Managing Cloud Security and Risk

– Impact of Cloud Tiers on Security and Risk

– Standards Organization

– RSA’s Cloud Trust model

– Things to Look for in a Cloud Provider

Infrastructure Layer Trust

– Infrastructure Trust Layer Definition

– Disaster Recovery

– Virtualization

– Segmentation and Isolation

– Log Management

– Secure Communications

– Multi-Tenancy

Application Layer Trust Application Layer Trust: definition Web Application Security Fundamentals Application Security Phases and Lifecycle SDLC PaaS Security Concerns

Information Layer Trust Information Layer Trust: Definition Data Retention / Destruction Data Leakage Data Privacy Data Encryption and Key Management Data Geolocation E-Discovery Data Portability Data Classification

• Management • Management Layer Trust: Definition • Identity and Access Management • Contract SLAs • Roles and Responsibilities • Provider Viability • Compliance Monitoring • Business Continuance • Provider Supply Chain • Third-party Risk Assessment • Software Licensing Risk

• Securing Private Clouds • Enterprise IT Evolution • Private Cloud Security Primer

• Final Lab Exercise


Agenda


EMC In 2012




EMC Proven Professional

Road Ahead



Developer Focus– Greenplum Database– Greenplum Hadoop Distribution– Spring Source– Cloud Foundry– OpenChorus

Webinar Series– Tech Sessions every Thursday– Technology Day– Chat with Experts

Improved Student and faculty portals


Agenda


EMC In 2012




EMC Proven Professional ( Special Pricing )

Road Ahead


Cloud Architect ComputeSystems

InformationStorage

Backup/ Recovery

Data Center Networking

Data Center Network Design

Management

Virtualized Data Center & Cloud Infrastructure + IT-as-a-Service

Planning & Design(EMC Cloud Architect)

+vCloud Director:

Deploy and Manage

Data Center Unified Computing

Implementation ( Cisco DCUCI) + vSphere: Install,

Config. & Manage

Storage Networking

Design (EMC Data

Center Architect)Information Availability

Design

Information Availability

Design (EMC Data

Center Architect)

Data Center Unified Fabric

Implementation (Cisco DCUFI)

Configuring the Cisco Nexus Data Center

(CCNDC)

Designing Cisco Data Center

Unified Fabric DCUFD +

Configuring the Cisco Nexus

Data Center (CCNDC-1)

vCenter Operations Manager:

Fundamentals vCenter

Operations Manager: Analyze

and Predict

Foundational Courses:

Cloud Infrastructure and Services (EMCCIS)

Information Storage and Management (EMCISA)

Data Science and Big Data Analytics (EMCDSA)

Choose your job role focus, then begin accelerating your skills transformation along the learning path.



Agenda


EMC In 2012




Road Ahead


Road Ahead

Submit a plan on – Course Offering Plan– Students Enrollment and offering dates – Faculty training requirements with nos– EMC Proven Professional Offering Plan– Webinar Roll out plans– Lab Expectations ( if any )


Get Social @EMCAcademics

Platforms Description

Facebook & Twitter For latest updates on #Cloud, #bigdata #security #trust

Slideshare Whitepaper and technical write ups

Youtube Technology Videos and Lectures complimenting the subjects

Livestream Live EMC Educational Events coverage and Webinars

Delicious Industry article Bookmarks

Pinterest Single repository of all technology contents


TRANSFORMYOURSELF