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 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 of operators, and many selectivity
constraints. However, they are applied to a simpler data structure.Example:
determine how much sales is made on a given line of parts, broken out by
supplier, by geography, by year.
Queries are complex requiring many concurrent data modifications, a ric... (more)
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").
Founder(s): Christopher Nguyen, Mike Bui, Tony Do
Headquarters: Sunnyvale, CA
My prediction for 2013 is that competitive advantage will translate into
enterprises using sophisticated Big Data analytics to create a new breed of
applications - Intelligent Applications.
"It's more than just insights from MapReduce", a CIO from a fortune 100 told
me, "It's about using data to make our customer touch points more engaging,
more interactive, more intelligent."
So when you hear about "Big Data solutions," you need to translate that into
a new category of "Intelligent Applications." At the end of the day, it's not
about people pouring through petabytes of data. It'... (more)
My favorite writer, Gil Press, sums it up with, “It’s Official: The
Internet Of Things Takes Over Big Data As The Most Hyped Technology” where
he talks about how Gartner released its latest Hype Cycle for Emerging
Technologies, and how big data has moved down the “trough of
disillusionment,” replaced by the Internet of Things at the top of the hype
The term Internet of Things was coined by the British technologist Kevin
Ashton in 1999, to describe a system where the Internet is connected to the
physical world via ubiquitous sensors.
Today, the huge amounts of data we are... (more)
Is Big Data destined for only the top 3,000 companies worldwide? What about
medium or small companies who are equally as data-driven? Is there a place
for Big Data in SMB markets? When I talk to SMB companies about their use of
public cloud services, it’s a no-brainer. Pay as you go, lower costs
upfront, quick time-to-market. With private and public cloud solutions, both
big and small companies benefit.
So what about big data platforms? Is there an equivalent opportunity, or is
Big Data only suited for Big Companies with Big Problems?
I think Big Data applies to all, and here’s wh... (more)