Big Data in cloud infrastructure provides key benefits like scalability, elasticity, and lower costs. The volume of data is growing significantly each year and will be harder to manage without the cloud. Cloud platforms allow data to be collected and stored more easily and analyzed more efficiently by optimizing resource capacity usage and enabling parallel processing. Datacomm Cloud Business provides cloud and security services from their ISO certified local data centers in Indonesia to help customers leverage big data and the cloud.

1. Big Data in Cloud Infrastructure
Sutedjo Tjahjadi
Managing Director,
Datacomm Cloud Business
Nov 19th, 2019
1

2. Cloud Computing
Infrastructure Digital National
2

3. Cloud Computing vs. On Premise
Roles & Responsibility
3
Infrastructure
as a Service
(laaS)
Platform as
a Service
(PaaS)
Software as
a Service
(SaaS)On-Premises IT Colocation Hosting
4
© 2016 Gartner, Inc. and/or its affiliates. All rights reserved.
Provider-Supplied, Managed
Self-Supplied, Managed
Data CenterData CenterData CenterData CenterData CenterData Center
Network & StorageNetwork & StorageNetwork & StorageNetwork & StorageNetwork & StorageNetwork & Storage
Physical ServersPhysical ServersPhysical ServersPhysical ServersPhysical ServersPhysical Servers
VirtualizationVirtualizationVirtualization + CMPVirtualizationVirtualizationVirtualization
Operating SystemOperating SystemOperating SystemOperating SystemOperating SystemOperating System
DatabasesDatabasesDatabasesDatabasesDatabasesDatabases
ApplicationsApplicationsApplicationsApplicationsApplicationsApplications
DataDataDataDataDataData

4. The Benefit of Cloud Computing
4
CLOUD
No Cap Ex
Pay per Use
Focus on core
competency
Fast time
to market
Elasticity

5. The Role of Data is Changing
5
Data is the new raw
material for any
business on par with
capital, people,
labor

6. BIG DATA
Big Data is Getting Bigger
6
2,7 Zetabytes in 2012
Over 90% will be unstructured
Data Spread across a wide array of silos

7. BIG DATA
Where is the Data coming from ?
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Computer Generated
Application server logs
(web sites, games)
Sensor data (weather,
water, smart grids)
Images/videos (traffic,
cameras)
Human Generated
Twitter “Fire Hose” 50m
tweets/day 1,400% growth
per year
Blogs/Reviews/Emails/Pict
ures
Social Graphs: Facebook,
Linked-in, Contacts
Bigger Data
Is
Better Data
Bigger Data
Is
Harder Data

8. 8
We know we want collect,
store, organize, analyze
and share it.
But we have limited
resources

9. BIG DATA
Why is Big Data Hard (any Getting Harder) ?
9
Changing data requirements User demand inexpensive
experimentation
Faster response time of fresher data
Sampling is not good enough & history is important
Increasing complexity of analytics

10. 10
Deploying
a Hadoop cluster
is hard

11. 11
“Over the next decade, the number of files or containers
that encapsulate the information in the digital universe will grow
by 75x.
While the pool of IT staff available to manage them will
grow only slightly. At 1.5x”
2011 IDC Digital Universe Study

12. Cloud Promise
The Cloud Enable Collection and Storage Of Big Data
12
The Old
IT World
Using Big Data
Managing All of the “Undifferentiated Heavy
Lifting”
30% 70%
Analyzing & using Big Data
Configuring
Cloud
Cloud Based
Infrastructure
70% 30%

13. Benefit
What Cloud can Solve for Big Data in Indonesia ?
13
Elasticity &
Scalability
Managed
Services
Reusability
Security &
Compliance

14. Elasticity & Scalability
Cloud Optimizes Capacity Resource
14
On and Off Fast Growth
Variable peaks Predictable peaks

15. Elasticity & Scalability
Optimization
15
On and Off Fast Growth
Variable peaks Predictable peaks
WASTE
CUSTOMER DISSATISFACTION

16. Elasticity & Scalability
Ideal Model
16
Your IT Needs
Capacity Traditional
IT Capacity
Elastic cloud
capacityTime

17. Elasticity & Scalability
Cloud Computing Capacity Modeling
17
On and Off Fast Growth
Variable peaks Predictable peaks

18. Elasticity & Scalability
Parallel Processing
18
1 instance for 100 hours
=
100 instance for 1 hour
I like this !
I Scale

19. Company Overview
Datacomm Cloud Business
1919
ABOUT
PT. Datacomm Diangraha business division focusing on Cloud
opportunity in Indonesia. Our philosophy are Enterprise, Secure
and Local.
PRODUCTS
Sentriciti – Security as a Service (SecaaS)
Cloudciti – Cloud Services (XaaS)
Datacomm Datacenter Federation
Datacomm Azure Stack
WHY US?
We are backed up by +29 years experiences and +500 people.
We have strong financial commitment, invested in it owns local
Data Center. We also certified by international standard: ISO
9001, ISO 27001 and ISO 20000.

20. Products & Solutions
20
Datacomm Cloud Business

21. Infrastructure Certification
International Standard Facility
21
Infrastructure on cloud
o Compute: Virtual machines, Web sites & mobile services
o Data services: Storage, SQL databases
o Network services: Virtual private networks, load balancer
Local Support and Data center location
24x7 Help Desk Support Center
24x7 Network Support Center
24x7 Security Desk Support Center
Rated 3 Constructed
Facilities
by TIA-942
CERTIFIED
DCOS Maturity 4
by TIA-942
CERTIFIED
ISO 9001:2008
CERTIFIED
ISO 27001:2013
CERTIFIED
ISO 20000:2011
CERTIFIED
PCI-DSS
CERTIFIED

22. Summary
• Big Data and Cloud Computing: A Perfect Combination
• The Cloud as an Imperative for Big Data
• Secure
• Scalability
• Elasticity
• Resource Pooling
• Self-Service
• Often Low up-front costs
• Pay as you go
• Fault tolerance
• Big Data Analytics Platform as a Service – YAVA on Cloud
• Bigger – Simpler – Faster - Affordable
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