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Real World Internet of Things at Scale

Jim Kaskade

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Top Stories by Jim Kaskade

The following are a few  Big Data companies that I was keeping an eye on starting back in January of 2015  (yeah, this is NOT a statistically significant sample)....some for "old times sake" because I knew the founding team and was curious how things were progressing, some because I trust their venture capital partners, and some because they inspire me with an application of the technology that is meaningful (I'm tired of hearing about yet another "Big Data Platform"). Adatao Founder(s): Christopher Nguyen, Mike Bui, Tony Do Headquarters: Sunnyvale, CA Website: www.adatao.com Type of business: Data Intelligence for All Adatao is Big Data 2.0, enabling the convergence of business intelligence, data science and machine learning directly on top of big data. Adatao is leading the Big Data 2.0 charge by making it easy for business users, data scientists and engineers to co... (more)

Big Data and Banking – More than Hadoop | @CloudExpo [#BigData]

Fraud is definitely top of mind for all banks. Steve Rosenbush at the Wall Street Journal recently wrote about Visa’s new Big Data analytic engine which has changed the way the company combats fraud. Visa estimates that its new Big Data fraud platform has identified $2 billion in potential annual incremental fraud savings. With Big Data, their new analytic engine can study as many as 500 aspects of a transaction at once. That’s a sharp improvement from the company’s previous analytic engine, which could study only 40 aspects at once. And instead of using just one analytic model, ... (more)

Big Data versus Small Data

How do you know whether you are dealing with Big Data or Small Data? I’m constantly asked for my definition of “Big Data”. Well, here it is…for batch analytics. Batch Analytics Batch Analytics Small Data Big Data Data Volume Gigabytes Terabytes – Petabytes Data Sources 1-6 (structured – SQL, or unstructured – NoSQL) 6+ structured AND 6+ unstructured Business Functions One line of business (e.g. sales) Several lines of business all the way up to a 360 degree view of the business Business Questions Queries are complex requiring many concurrent data modifications, a rich breadth ... (more)

Real-time Big Data or Small Data?

Have you heard of products like IBM’s InfoSphere Streams, Tibco’s Event Processing product, or Oracle’s CEP product? All good examples of commercially available stream processing technologies which help you process events in real-time. I’ve been asked what I consider as “Big Data” versus “Small Data” in this domain. Here’s my view. Real-Time Analytics Small Data Big Data Data Volume None None Data Velocity 100K events / day (<<1K events / second) Billion+ events / day (>>1K events / second) Data Variety 1-6 unstructured on sources AND 1 single destination (an output file, a SQ... (more)

Gerstner Secrets of Leadership By @JimKaskade | @ThingsExpo [#IoT]

Lou Gerstner became president of American Express in 1985 at the age of 43. He dismissed the speculation that his success was the product of being a workaholic. Gerstner said, “I hear that, and I can’t accept that. A workaholic can’t take vacations, and I take four weeks a year.” As I write this, I’m in Wyoming with the family enjoying Yellowstone and Jackson Hole thinking, “Can I somehow achieve the level of impact of Lou Gerstner with the right work-life balance?” What keeps people from having to cancel vacations, modifying schedules to take budget calls, or work while the fam... (more)