The phenomenon of so-called "big data"—which in its most simplified definition means terabyte, petabyte or larger data workloads—is now way past the buzzword level.
On Wednesday, July 8, at 11 a.m. PDT/2 p.m. EDT/7 p.m. GMT, @eWEEKNews will host its monthly #eWEEKChat. The topic will be "The Skyrocketing Influence of Big Data Analytics in All Sectors." It will be moderated by Chris Preimesberger, who serves as eWEEK's
editor of features and analysis.
Some quick facts:
: The Skyrocketing Influence of Big Data Analytics in All Sectors
: July 8, 2015 @11 a.m. PDT/2 p.m. EDT/7 p.m. GMT
: Chris Preimesberger: @editingwhiz
: Use #eWEEKChat to follow/participate or use the widget below
Chatroom real-time links
: We have two: http://tweetchat.com/room/eweekchat
. Both work very well.
Big Data Analytics: A Revolution in IT
So much of what we do now touches a big data analytics platform. Want to see ticket availability for today's ballgame? StubHub's big data analytics will do it in seconds. Checking Yelp for a good restaurant suggestion? Big data analytics at work. Need a ride somewhere? Uber's or Lyft's big data-crunching system will find you a driver within seven minutes, guaranteed.
The phenomenon of so-called "big data"—which in its most simplified definition means terabyte, petabyte or larger data workloads—is now way past the buzzword level. Sometimes truly important technology trends, in fact, do become buzzwords.
Big data storage (and the analytics processing that uses all that raw data) is a burgeoning market that IDC, for one, has forecast to surge at a 40 percent compound annual growth rate, from $3.2 billion in 2010 to $17 billion this year and $21 billion by 2016. The hockey-stick curve will certainly continue to zoom up and to the right after that.
Two-Thirds of Businesses Now Store 100TB or More of Data
Microsoft recently conducted a big data survey of its enterprise customers that found that almost two-thirds (62 percent) of respondents said they currently store at least 100 terabytes of data.
Big data presents a formidable new frontier in which data sets can grow so large that they become awkward to work with using traditional database management tools. The need for new tools, frameworks, hardware, software and services to handle this emerging issue represents a huge market opportunity.
The recognition of a business's large stores of data as a valuable resource and the growth of cloud computing have grown in parallel fashion during the last eight years. Because a great many midsize and smaller businesses are not likely to buy a lot of new hardware for their data centers at this time, cloud services have become much more attractive. As a result, there are now myriad service providers willing to make various analytics apps available through subscription services. These apps can be general in nature (such as accounting or HR) or very industry-specific.
There are huge new business opportunities in big data. There is demand for effective big data toolsets that provide scalable, high-performance analytics at the lowest cost and in near-real time as business users increasingly demand continuous access to data. By analyzing this data, companies gain greater intelligence as well as a competitive advantage.
In our eWEEKchat July 8, we will pose questions such as:
--How is your company using big data analytics for business advantage?
--What types of big data applications are you now using now?
--How important is obtaining real-time—or near-real-time—results from big data analytics apps?
--Does your business use Hadoop—or something similar—for batch-type big data analytics? What advantage(s) does that bring?
--Does your company allow employees to access big data-type applications from personal mobile devices?
Join us. It will be 60 minutes well worth your while.