Krishnan Parasuraman, CTO of big data, IBM Digital Media, describes the three contextual factors fueling the questions around big data, including the analytic awakening, commodization of technologies, and data availability.
Here are the quick-hit ponderings that I posted on various LinkedIn big data discussion groups this past week. I opened up one new theme–Big Media (which I'd introduced a few weeks back at this IBM big-data-relevant site) –and extended my existing discussions of peta-governance (going beyond what
Roland Cozzolino (CTO) and Tom Craig (VP Data & Information Strategy) from MediaMath sit down to discuss their analytical objective as a leading Digital Media firm and the role IBM Netezza plays in their business strategy.
Krishnan Parasuraman, CTO big data for digital media, answers questions about big data solutions for the Digital Media industry and discusses the sophisticated distributed processes that take place at light speed to deliver targeted digital advertisements.
The biggest table in any Netezza database that I know of has over 600 billion rows!! That’s the claim made by our customer, Catalina Marketing.
So although most of the data in the world is not relational, there is a huge amount of relational data and IBM technologies are more than capable of
Architecting Big Data Solutions Series
"Our real secret sauce is to take our analytical skills and capabilities and blend that with our offerings around Big Data technologies to execute more effective marketing for our clients", says Russ Pearlman, CTO of Merkle Inc.
We are seeing a growing trend,
[x+1], a leading audience targeting platform, has achieved remarkable success in executing marketing campaigns for their clients by analyzing massive volumes of advertising data in near real-time. Their story is highlighted in the case study materials below, and while it is compelling for many