Slides from BrightTALK webinar; listen here: http://bit.ly/1rpVkov
Understand how popular open source and vendor provided technologies integrate well, all making key contributions to a successful big data technology.
But more important than technology is the business goals you define and aim to achieve. - See many examples in this deck and online presentation.
Lastly, how do you bridge the digital implementation gap between in-house capabilities and the market demands driving endless new technologies. - How can you test drive and prototype without owning and committing to all these new technologies?
Listen to the full webcast to find out how: http://bit.ly/1rpVkov
HANA: Data virtualization with Smart Data Access of Hadoop and other data sources - ASE, Oracle, MS SQL, Teradata
Spark Integration:
- Spark solving issues of earlier Hadoop (batch only)
- Also being a good alternative from a price performance standpoint
- Bringing the ERP transactions and other corporate Big Data together
Benefit
360 degree view of fan
Production – Single Active AZ – per Customer
Automating the creation and operation of elastic data oceans on hybrid cloud environments from quote to govern, offered as a service.
Enable enterprise class big data at fraction of costSecure, reliable and dedicated cloud service offering with public cloud economics
Drive customer speed and agility in a governed fashionBusiness agility through automation, continuous innovation and cloud elasticity
Provide push button simplicity with intelligent guidanceDeployment configuration support and planning powered by machine learning
ocean9 enables its customers to integrate big data analytics into existing business processes and workflows and shift their focus from technology to business outcome.