If you think the term "Big Data" is wishy washy waste, then you are not alone. Many struggle to find a definition of Big Data that is anything more than awe-inspiring hugeness. But Big Data is real if you have an actionable definition that you can use to answer the question: "Does my organization have Big Data?" Proposed is a definition that takes into account both the measure of data and the activities performed with the data. Be sure to scroll down to calculate your Big Data Score.
Big Data Can Be Measured
Big Data exhibits extremity across one or many of these three alliterate measures:
I said last year that this would happen sometime in the first half of this year, but for some reason my colleagues and clients have kept asking me exactly when we would see a real ARM server running a real OS. How about now?
To copy from Calxeda’s most recent blog post:
“This week, Calxeda is showing a live Calxeda cluster running Ubuntu 12.04 LTS on real EnergyCore hardware at the Ubuntu Developer and Cloud Summit events in Oakland, CA. … This is the real deal; quad-core, w/ 4MB cache, secure management engine, and Calxeda’s fabric all up and running.”
This is a significant milestone for many reasons. It proves that Calxeda can indeed deliver a working server based on its scalable fabric architecture, although having HP signing up as a partner meant that this was essentially a non-issue, but still, proof is good. It also establishes that at least one Linux distribution provider, in this case Ubuntu, is willing to provide a real supported distribution. My guess is that Red Hat and Centos will jump on the bus fairly soon as well.
Most importantly, we can get on with the important work of characterizing real benchmarks on real systems with real OS support. HP’s discovery centers will certainly play a part in this process as well, and I am willing to bet that by the end of the summer we will have some compelling data on whether the ARM server will deliver on its performance and energy efficiency promises. It’s not a slam dunk guaranteed win – Intel has been steadily ratcheting up its energy efficiency, and the latest generation of x86 server from HP, IBM, Dell, and others show promise of much better throughput per watt than their predecessors. Add to that the demonstration of a Xeon-based system by Sea Micro (ironically now owned by AMD) that delivered Xeon CPUs at a 10 W per CPU power overhead, an unheard of efficiency.
In the latest evolution of its Linux push, IBM has added to its non-x86 Linux server line with the introduction of new dedicated Power 7 rack and blade servers that only run Linux. “Hah!” you say. “Power already runs Linux, and quite well according to IBM.” This is indeed true, but when you look at the price/performance of Linux on standard Power, the picture is not quite as advantageous, with the higher cost of Power servers compared to x86 servers offsetting much if not all of the performance advantage.
Enter the new Flex System p24L (Linux) Compute Node blade for the new PureFlex system and the IBM PowerLinuxTM 7R2 rack server. Both are dedicated Linux-only systems with 2 Power 7 6/8 core, 4 threads/core processors, and are shipped with unlimited licenses for IBM’s PowerVM hypervisor. Most importantly, these systems, in exchange for the limitation that they will run only Linux, are priced competitively with similarly configured x86 systems from major competitors, and IBM is betting on the improvement in performance, shown by IBM-supplied benchmarks, to overcome any resistance to running Linux on a non-x86 system. Note that this is a different proposition than Linux running on an IFL in a zSeries, since the mainframe is usually not the entry for the customer — IBM typically sells to customers with existing mainframe, whereas with Power Linux they will also be attempting to sell to net new customers as well as established accounts.
Today IBM announced its plans to acquire Vivisimo - an enterprise search vendor with big data capabilities. Our research shows that only 1% to 5% of all enterprise data is in a structured, modeled format that fits neatly into enterprise data warehouses (EDWs) and data marts. The rest of enterprise data (and we are not even talking about external data such as social media data, for example) may not be organized into structures that easily fit into relational or multidimensional databases. There’s also a chicken-and-the-egg syndrome going on here. Before you can put your data into a structure, such as a database, you need to understand what’s out there and what structures do or may exist. But in order for you to explore the data in the first place, traditional data integration technologies require some structures to even start the exploration (tables, columns, etc). So how do you explore something without a structure, without a model, and without preconceived notions? That’s where big data exploration and discovery technologies such as Hadoop and Vivisimo come into play. (There are many others vendors in this space as well, including Oracle Endeca, Attivio, and Saffron Technology. While these vendors may not directly compete with Vivisimo and all use different approaches and architectures, the final objective - data discovery - is often the same.) Data exploration and discovery was one of our top 2012 business intelligence predictions. However, it’s only a first step in the full cycle of business intelligence and
Nowadays, there are two topics that I’m very passionate about. The first is the fact that spring is finally here and it’s time to dust off my clubs to take in my few first few rounds of golf. The second topic that I’m currently passionate about is the research I’ve been doing around the connection between big data and big process.
While most enterprise architects are familiar with the promise — and, unfortunately, the hype — of big data, very few are familiar with the newer concept of “big process.” Forrester first coined this term back in August of 2011 to describe the shift we see in organizations moving from siloed approaches to BPM and process improvement to more holistic approaches that stitch all the pieces together to drive business transformation.
Our working definition for big process is:
“Methods and techniques that provide a more holistic approach to process improvement and process transformation initiatives.”
The US government will start tracking hospital readmission rates. Why? Because we spend some $15B each year treating returning patients. Many of these would not need to return if they followed instructions — which involve meds, follow up out patient visits, diet, and you get the picture. To be fair, it's sometimes not the patient's fault. They often do not get a proper discharge summary and in some cases they are just not together enough to comply. They may lack transportation, communication skills, or the ability to follow instructions. Doesn't it make sense to figure out those at-risk patients and do something a little extra? It does. No question. And translates to real money and better care, and this is where big data comes in — and it's nice to see some real use cases that do not involve monitoring our behavior to sell something. Turns out — no surprise here — the structured EMR patient record, if one exists, is full of holes and gaps — including missing treatments from other providers, billing history, or indicators of personal behavior — that may provide a clue to readmission potential. The larger picture of information —mostly unstructured —can now be accessed and analyzed, and high-risk patients can have mini workflows or case management apps to be sure they are following instructions. IBM is doing some great work in this area with the analytics engine Watson and partners such as Seton. Take a few minutes to read this article.
Join us at Forrester’s CIO Forum in Las Vegas on May 3 and 4 for “The New Age Of Business Intelligence.”
The amount of data is growing at tremendous speed — inside and outside of companies’ firewalls. Last year we did hit approximately 1 zettabyte (1 trillion gigabytes) of data in the public Web, and the speed by which new data is created continues to accelerate, including unstructured data in the form of text, semistructured data from M2M communication, and structured data in transactional business applications.
Fortunately, our technical capabilities to collect, store, analyze, and distribute data have also been growing at a tremendous speed. Reports that used to run for many hours now complete within seconds using new solutions like SAP’s HANA or other tailored appliances. Suddenly, a whole new world of data has become available to the CIO and his business peers, and the question is no longer if companies should expand their data/information management footprint and capabilities but rather how and where to start with. Forrester’s recent Strategic Planning Forrsights For CIOs data shows that 42% of all companies are planning an information/data project in 2012, more than for any other application segment — including collaboration tools, CRM, or ERP.
Next up in the 2012 lineup for the Intel E5 refresh cycle of its infrastructure offerings is Cisco, with its announcement last week of what it refers to as its third generation of fabric computing. Cisco announced a combination of tangible improvements to both the servers and the accompanying fabric components, as well as some commitments for additional hardware and a major enhancement of its UCS Manager software immediately and later in 2012. Highlights include:
New servers – No surprise here, Cisco is upgrading its servers to the new Intel CPU offerings, leading with its high-volume B200 blade server and two C-Series rack-mount servers, one a general-purpose platform and the other targeted at storage-intensive requirements. On paper, the basic components of these servers sound similar to competitors – new E5 COUs, faster I/O, and more memory. In addition to the servers announced for March availability, Cisco stated that it would be delivering additional models for ultra-dense computing and mission-critical enterprise workloads later in the year.
Fabric improvements – Because Cisco has a relatively unique architecture, it also focused on upgrades to the UCS fabric in three areas: server, enclosure, and top-level interconnect. The servers now have an optional improved virtual NIC card with support for up to 128 VLANs per adapter and two 20 GB ports per adapter. One in on the motherboard and another can be plugged in as a mezzanine card, giving up to 80 GB bandwidth to each server. The Fabric Interconnect, the component that connects each enclosure to the top-level Fabric Interconnect, has seen its bandwidth doubled to a maximum of 160 GB. The Fabric Interconnect, the top of the UCS management hierarchy and interface to the rest of the enterprise network, has been up graded to a maximum of 96 universal 10Gb ports (divided between downlinks to the blade enclosures and uplinks to the enterprise fabric.
Now, I wasn’t born in Texas, but I got here as soon as I could. I’ve lived in Dallas, TX for 30 years so I consider myself an adopted native-Texan. I’ll be at South-by-Southwest Interactive this weekend, so I thought I’d share some tips for all my current and future friends. For those of you from out-of-state – known as furriners – I hope you’ll find this advice helpful.
It seems everyone’s obsessed with Facebook’s IPO right now. And while CMOs are beginning to understand the possibilities of Facebook, and other social technologies, to connect and engage with customers, many CIOs remain unclear on the value of Facebook.
A question many business executives ask is this: “What’s the value of having someone like your page?”
On its own, maybe not much. But the true potential lies in the ability to collect insights about the people who like brands, products or services – be it your own or someone else’s.
For example, the chart below shows the percentage of consumers by age group who have “liked” Pepsi or Coca-Cola. These data suggest Coca-Cola is significantly more popular with 17-28 year olds than Pepsi, while Pepsi appears more popular with the 36-70 crowd. I pulled these data points directly from the Facebook likes of each of the brand pages using a free consumer tool from MicroStrategy called Wisdom. Using this tool I can even tell that Coca-Cola fans are likely to also enjoy the odd Oreo cookie and bag of Pringles.