Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Big data on cloud infrastructure

146 views

Published on

Bapak Sutedjo Tjahjadi's Presentation at Konferensi Big Data Indonesia 2019

Published in: Technology
  • Be the first to comment

  • Be the first to like this

Big data on cloud infrastructure

  1. 1. Big Data in Cloud Infrastructure Sutedjo Tjahjadi Managing Director, Datacomm Cloud Business Nov 19th, 2019 1
  2. 2. Cloud Computing Infrastructure Digital National 2
  3. 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. 4. The Benefit of Cloud Computing 4 CLOUD No Cap Ex Pay per Use Focus on core competency Fast time to market Elasticity
  5. 5. The Role of Data is Changing 5 Data is the new raw material for any business on par with capital, people, labor
  6. 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. 7. BIG DATA Where is the Data coming from ? 7 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. 8 We know we want collect, store, organize, analyze and share it. But we have limited resources
  9. 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. 10 Deploying a Hadoop cluster is hard
  11. 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. 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. 13. Benefit What Cloud can Solve for Big Data in Indonesia ? 13 Elasticity & Scalability Managed Services Reusability Security & Compliance
  14. 14. Elasticity & Scalability Cloud Optimizes Capacity Resource 14 On and Off Fast Growth Variable peaks Predictable peaks
  15. 15. Elasticity & Scalability Optimization 15 On and Off Fast Growth Variable peaks Predictable peaks WASTE CUSTOMER DISSATISFACTION
  16. 16. Elasticity & Scalability Ideal Model 16 Your IT Needs Capacity Traditional IT Capacity Elastic cloud capacityTime
  17. 17. Elasticity & Scalability Cloud Computing Capacity Modeling 17 On and Off Fast Growth Variable peaks Predictable peaks
  18. 18. Elasticity & Scalability Parallel Processing 18 1 instance for 100 hours = 100 instance for 1 hour I like this ! I Scale
  19. 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. 20. Products & Solutions 20 Datacomm Cloud Business
  21. 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. 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 22

×