Big Data in the Cloud Panel Session - Moving from Petabytes to Zetabytes
The accessibility and scalability of the cloud is unmatched, but with transition emerges less control over users, data and infrastructure. The question that persists is -how can a business establish the same visibility into their enterprise that they had while on-premise?
Do tools, processes and policies exist that should be deployed to help a business satisfy compliance requirements, surpass budgetary goals and mitigate risks, such as data loss, as they migrate to the cloud.
To effectively address the need to store Big Data companies need to look beyond traditional solutions that can scale to the petabyte level and beyond. This Panel session will exlore the benefits that Object-based storage offers such as limitless scalability, 100% data integrity and the ability to meet security requirements.
We will Identify large data sets, both internal and external that require large amounts of computing power and storage for analysis. Explore Return on Investment (RoI) Scenarios - Identification of scenarios for utilizing these data sets to provide immediate return on investment.
We will explore how unifying traditional ETL with unstructured data to mine information from identified data sets can lead to optimum information Management in the cloud.
- by multiple speakers
Executives of EMC, Amazon AWS, IBM, BeyondCore, PwC
Author`s Bio:
- Jeff Nick SVP and Chief Technology Officer at EMC
- Amazon Jinesh Varia Technology Evangelist of Amazon Web Services, Amazon.com
- Stephen Brodsky Distinguished Engineer Big Data Development, Information Managemen at IBM
- Arijit Sengupta - CEO Beyondcore and Cloud Chapter Chairman at IAOP
- Adam Woodyer - PwC