It’s exciting to see Big Data as a Service, or “BDaaS” at its inevitably abbreviated, start to take off. Numerous media outlets have covered the trend’s potential and challenges. Social media (namely, Twitter) continues to share a Forbes article about Big Data as a Service by Bernard Marr, author and industry expert. Marr estimates an impressive $30 billion valuation of the market by 2021. Yet, he explained:
Last week, Michael Copeland of Andreessen Horowitz interviewed me and Peter Levine, General Partner at Andreessen Horowitz, on the topic of big data moving from on-prem infrastructure to the cloud.
It was a fun chat after we literally took over Peter’s office while he was attending a board meeting! In the interview, Peter, Michael and I discuss how:
We founded Cazena with a vision to provide Big Data on Demand: data made available for access and analysis simply and immediately. Today is an exciting milestone. After two years of development, we are officially announcing Cazena’s Big Data as a Service. This service essentially wires up enterprises for Big Data on Demand. Let me explain.
Manjit Singh, CIO of The Clorox Company, has successfully led enterprises through scale and transformation. Previously he was an executive at Box and CIO at Las Vegas Sands and Chiquita Brands. Manjit is also an early leader in big data. Recently he shared with me his perspective on the challenges of the CIO role, the transformative potential of the cloud and big data.
Three observations stood out.
Our CEO Prat Moghe recently wrote an article for Multichannel Merchant on findings from research we commissioned. To learn more about what is motivating retailers to move their big data analytics to the cloud, read the article here: Retailers Are Marching Toward the Big Data Analytics Cloud
A few days ago we released the results of our Enterprise Big Data survey, led by GigaOm Research Director for Big Data and Analytics Andrew Brust. The report provides a clear view into how people are really thinking about Big Data, within all the context and constraints of operating a large enterprise.
Sometime back, I had lunch with a CTO of a well-established financial services enterprise. I posed the question – what do you guys think about doing big data processing in the cloud? That created a fairly violent reaction, followed by a less violent discussion eventually leading to a few really interesting points and questions in my mind.
WALTHAM, Massachusetts (November 10, 2014) – Gigaom Research today announced the findings of a study that reveals that the majority of enterprises are looking to leverage public cloud resources for their big data analytic needs. The report, “How enterprises will use the cloud for big data analytics,” also suggests that potential migrations to the cloud are being delayed due to a number of significant concerns, chief among them security, compliance and complexity.