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Big Data & Cloud: The
Perfect Marriage
Neeraj Sabharwal
Sr. Solutions Architect, Carpathia
April 22, 2014
If you can't explain it
simply, you don't
understand it well
enough.
-Albert Einstein
The Promise of Big Data
•  90% of the world’s data was created in the last 2
years
•  Data with potential to add more value to the
business is Big Data
•  Small Data is useful to some extent but Big Data
brings more visibility and transparency
•  Simply put, Big Data means Big ROI if configured
correctly
Driving Better Business Decisions:
“Precaution is better than Cure"
•  Effective and timely Data Analysis to monitor
business growth
•  Better profits by fulfilling artificial intelligence
•  Fraud detection
•  Log management solutions
•  Machine data analysis
•  Data warehouse enhancements
Industry Impact
•  Mobile/Digital Advertising
•  Retail
•  Healthcare
Is Big Data for You?
•  Objective of Big Data Project
•  Skilled staff “Most Challenging”
•  Infrastructure
•  Picking the right technology and tools for Data
processing and analysis
•  Data Cleanup strategy before it hits the storage
•  Strategy to protect PII
•  Archiving strategy
Tectonic Technology Shift
•  Buzzwords: “Big Data” “No
SQL” and “Hadoop”
•  Compliance
•  Data analysis and data
management
•  Horizontal vs. vertical scaling
•  Artificial Intelligence – 3R’s
“ Right information to Right People at the Right time”
Big Data Ain’t Easy
•  Network
•  Servers
•  Storage
•  Backups
•  Archiving
•  Cooling and
heating
•  Compliance
•  Engineering
resources
Big Data Meets Cloud:
A Match Made in Heaven
•  Cloud and big data makes a great
marriage
•  Public vs. Private cloud
•  Public cloud infrastructure tends to
be generic – built for the masses but
not specifically designed to address
any particular challenge
•  Private Cloud is the most popular
option because of more control of
performance, resources and security
Enter Hadoop…as a Service
•  Hadoop-as-a-Service = affordable solution for small
and medium-sized enterprises
•  Pay for bytes in use and compute time in
consumption
•  Business focuses on data analysis and service
provider focuses on data management
•  HaaS on Private cloud deployments helps to
address specific business requirements like
performance, security and compliance
•  Horizontal scaling and flexibility to scale up and
down based on usage or “auto elasticity”
Is A Secure
Infrastructure Enough?
•  Opportunity for new startups
•  Key challenge is taking full advantage of data
without exposing or risking sensitive data
•  Once in production, be ready for auditing
•  Data-centric (encryption, tokenizing, masking)
protection is the way to go
•  Extensive efforts involved in the discovery phase will
only get more challenging as data grows
What’s Next for Big Data?
•  Accurate Intelligence to let go of Data
•  Mature data analytics with the capability to do all
in one
•  Flexibility and ease to bring RDBMS manpower on to
new technology
•  Big Data and compliance – automate data
discovery and protection
About Carpathia
•  Carpathia is a trusted cloud operator and leading
provider of cloud services and managed hosting for
some of the world’s most demanding enterprises
and federal agencies
•  Carpathia and Altiscale have partnered to deliver
efficient Big Data HaaS capabilities to security and
compliance-conscious organizations of all sizes
•  Carpathia’s IBX Vault is a 64,000 sq. ft., 7.3-MW data
center delivering cloud services, managed and
colocation that need to stand up to today’s
complex compliance requirements.
Thank You
www.carpathia.com
Twitter:
@CarpathiaHost – Carpathia
@AllaboutBData – Neeraj Sabharwal
Email: nsabharwal@carpathia.com
Contact Carpathia: bigdata@carpathia.com

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Big data and Cloud - Perfect Marriage

  • 1. Big Data & Cloud: The Perfect Marriage Neeraj Sabharwal Sr. Solutions Architect, Carpathia April 22, 2014
  • 2. If you can't explain it simply, you don't understand it well enough. -Albert Einstein
  • 3. The Promise of Big Data •  90% of the world’s data was created in the last 2 years •  Data with potential to add more value to the business is Big Data •  Small Data is useful to some extent but Big Data brings more visibility and transparency •  Simply put, Big Data means Big ROI if configured correctly
  • 4. Driving Better Business Decisions: “Precaution is better than Cure" •  Effective and timely Data Analysis to monitor business growth •  Better profits by fulfilling artificial intelligence •  Fraud detection •  Log management solutions •  Machine data analysis •  Data warehouse enhancements
  • 5. Industry Impact •  Mobile/Digital Advertising •  Retail •  Healthcare
  • 6. Is Big Data for You? •  Objective of Big Data Project •  Skilled staff “Most Challenging” •  Infrastructure •  Picking the right technology and tools for Data processing and analysis •  Data Cleanup strategy before it hits the storage •  Strategy to protect PII •  Archiving strategy
  • 7. Tectonic Technology Shift •  Buzzwords: “Big Data” “No SQL” and “Hadoop” •  Compliance •  Data analysis and data management •  Horizontal vs. vertical scaling •  Artificial Intelligence – 3R’s “ Right information to Right People at the Right time”
  • 8. Big Data Ain’t Easy •  Network •  Servers •  Storage •  Backups •  Archiving •  Cooling and heating •  Compliance •  Engineering resources
  • 9. Big Data Meets Cloud: A Match Made in Heaven •  Cloud and big data makes a great marriage •  Public vs. Private cloud •  Public cloud infrastructure tends to be generic – built for the masses but not specifically designed to address any particular challenge •  Private Cloud is the most popular option because of more control of performance, resources and security
  • 10. Enter Hadoop…as a Service •  Hadoop-as-a-Service = affordable solution for small and medium-sized enterprises •  Pay for bytes in use and compute time in consumption •  Business focuses on data analysis and service provider focuses on data management •  HaaS on Private cloud deployments helps to address specific business requirements like performance, security and compliance •  Horizontal scaling and flexibility to scale up and down based on usage or “auto elasticity”
  • 11. Is A Secure Infrastructure Enough? •  Opportunity for new startups •  Key challenge is taking full advantage of data without exposing or risking sensitive data •  Once in production, be ready for auditing •  Data-centric (encryption, tokenizing, masking) protection is the way to go •  Extensive efforts involved in the discovery phase will only get more challenging as data grows
  • 12. What’s Next for Big Data? •  Accurate Intelligence to let go of Data •  Mature data analytics with the capability to do all in one •  Flexibility and ease to bring RDBMS manpower on to new technology •  Big Data and compliance – automate data discovery and protection
  • 13. About Carpathia •  Carpathia is a trusted cloud operator and leading provider of cloud services and managed hosting for some of the world’s most demanding enterprises and federal agencies •  Carpathia and Altiscale have partnered to deliver efficient Big Data HaaS capabilities to security and compliance-conscious organizations of all sizes •  Carpathia’s IBX Vault is a 64,000 sq. ft., 7.3-MW data center delivering cloud services, managed and colocation that need to stand up to today’s complex compliance requirements.
  • 14. Thank You www.carpathia.com Twitter: @CarpathiaHost – Carpathia @AllaboutBData – Neeraj Sabharwal Email: nsabharwal@carpathia.com Contact Carpathia: bigdata@carpathia.com