My Presentation about EMC Academic Alliance Program at Mansoura University. In this presentation, I tried to present an introduction on the most four famous EMC courses, and an overlook on the most EMC famous products.
14. Course Overview
Course
Introduc:on
14
Descrip(on
The
Cloud
Infrastructure
and
Services
(CIS)
course
educates
par:cipants
about
cloud
deployment
and
service
models,
cloud
infrastructure,
and
the
key
considera:ons
in
migra:ng
to
cloud
compu:ng.
For
all
defini:ons
of
cloud
compu:ng,
the
course
has
resorted
to
the
U.S.
Na:onal
Ins:tute
of
Standards
and
Technology
as
a
guide.
The
course
covers
technologies
required
to
build
classic
(tradi:onal),
virtualized,
and
cloud
data
center
environments.
These
technologies
include
compute,
storage,
networking,
desktop
and
applica:on
virtualiza:on.
Addi:onal
areas
of
focus
include
backup/
recovery,
business
con:nuity,
security,
and
management.
Students
will
learn
about
the
key
considera:ons
and
steps
involved
in
transi:oning
from
the
current
state
of
their
data
center
to
a
cloud
compu:ng
environment.
Upon
comple:ng
this
course,
par:cipants
will
have
the
knowledge
to
make
informed
decisions
about
migra:ng
to
cloud
infrastructure
and
choosing
the
best
deployment
model
for
their
organiza:on.
Audience
EMC
Customers,
Partners,
Internals,
and
Industry
audience
(including
students)
who
want
to
understand
Cloud
infrastructure
and
pursue
career
in
virtualiza:on
and
Cloud.
Prerequisites
Prior
to
aVending
this
course,
par:cipants
should
have:
• Basic
understanding
of
computer
architecture,
opera:ng
systems,
networking,
and
databases
• Experience
in
compute
system,
storage,
and
network
infrastructure
will
be
an
advantage
15. Course Organization
Course
Introduc:on
15
• Module
1
:
Journey
to
the
Cloud
• Module
2
:
Classic
Data
Center
(CDC)
• Module
3
:
Virtualized
Data
Center
(VDC)
–
Compute
• Module
4
:
Virtualized
Data
Center
–
Storage
• Module
5
:
Virtualized
Data
Center
–
Networking
• Module
6
:
Virtualized
Data
Center
–
Desktop
and
Applica:on
• Module
7
:
Business
Con:nuity
in
VDC
• Module
8
:
Cloud
Compu:ng
Primer
• Module
9
:
Cloud
Infrastructure
and
Management
• Module
10
:
Cloud
Security
• Module
11
:
Cloud
Migra:on
Considera:ons
16. Become a certified EMC Proven Professional!
Cloud
Infrastructure
and
Services
course
supports
EMC
Proven
Professional
cer:fica:on.
The
#1
cer:fica:on
program
in
the
informa:on
storage
and
management
industry.
Next
Steps:
For
more
informa:on,
please
visit
hCp://educa(on.emc.com/cer(fica(on.
Course
Introduc:on
16
EMC Proven Professional certification details
Certification Level Associate
Exam Name E20-002 Cloud Infrastructure and Services Exam
Credential Name EMC Cloud Infrastructure and Services Associate (EMCCIS)
1. Assess your level of expertise
Take a Free online practice test to identify
areas you may need to review.
2. Validate your expertise
Register for your proctored exam at a
Pearson VUE testing center near you.
18. Course Overview
Backup
Recovery
Systems
and
Architecture
Course
Introduc:on
18
Descrip(on
This
course
provides
par:cipants
with
a
solid
founda:on
in
Backup
and
Recovery
infrastructure.
The
course
focuses
on
the
concepts
and
technologies
used
in
Backup
and
Recovery
environments.
Par:cipants
will
learn
about
backup
and
recovery
theory,
including
backup
methods,
planning
and
key
terminology.
The
course
includes
topics
on
how
storage
technologies
work
and
how
their
features
such
as
replica:on
and
snapshots
can
be
used
for
backup.
This
is
followed
with
a
look
into
data
sources
at
the
backup
client
and
storage
node
backup
targets.
The
course
finishes
with
backup
and
recovery
planning
and
a
high
level
look
at
the
EMC
Backup
and
Recovery
product
pordolio.
Audience
All
technical
roles
Prerequisites
To
understand
the
content
and
successfully
complete
this
course
as
student
must
have
a
suitable
knowledgebase/skill
set.
The
student
must
have
an
understanding
of:
• Computer
architecture
• Opera:ng
systems
• Networking,
including
TCP/IP,
CIFS
and
NFS
protocols
• Host
virtualiza:on
concepts
There
are
no
prerequisite
courses.
19. Course Outline
• Module
1:
Backup
Theory
• Module
2:
Informa:on
Storage
Concepts
• Module
3:
Backup
Client
• Module
4:
Backup
Storage
Node
• Module
5:
Backup
and
Recovery
Planning
19
Backup
Recovery
Systems
and
Architecture
Course
Introduc:on
20. EMC Proven Professional – Backup and Recovery
B&R
Asso-
ciate
B&R
Asso-
ciate
B&R
Asso-
ciate
20
Backup
Recovery
Systems
and
Architecture
Course
Introduc:on
23. EMC
2
PROVEN PROFESSIONAL
• The
goal
of
the
Data
Science
And
Big
Data
Analy0cs
Course
is
for
you
to
be
able
to
immediately
par,cipate
as
a
Data
Science
team
member
on
big
data
and
other
analy0cs
projects
! Data
Scien0st
p-‐o-‐v
! Open
! Prac0cal
Overall Course Goal
Introduc:on
and
Course
Agenda
23
24. EMC
2
PROVEN PROFESSIONAL
Course Modules and Navigation Icons
Introduc:on
and
Course
Agenda
24
Data Science and Big Data Analytics
1. Introduction to Big Data Analytics
2. Data Analytics Lifecycle + Lab
3. Review of Basic Data Analytics Methods Using R + Labs
4. Advanced Analytics - Theory & Methods + Labs
5. Advanced Analytics - Technology & Tools + Labs
6. The Endgame, or Putting it All Together + Final Lab
25. EMC
2
PROVEN PROFESSIONAL
Topics : Data Science and Big Data Analytics
CourseIntroduction 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
Introduc:on
and
Course
Agenda
26. EMC
2
PROVEN PROFESSIONAL
The Lab Environment
• Hardware:
! VMWare
Servers
! Individual
Virtual
Machines
• Sohware
–
Open
Source:
! Data
stored
in
Greenplum
Community
Edi:on
Database
(GPDB)
! Access
from
desktop
browsers
" Microsoh
&
Apple
Mac
! Analy:cs
via:
" RStudio
" PSQL
interface
for
GPDB
" Hadoop
" MADlib
Introduc:on
and
Course
Agenda
26
RStudio