27 February, 2014
There’s a lot of confusing jargon and buzzwords in this new field. It helps to know who some of the major players are and…
Publication: Data Science Central
24 February, 2014
A question I receive quite a bit from people who are newly introduced to NoSQL platforms and the overall concept of multi-structured data sets…
Publication: Information Management
28 May, 2015
Today, I’m going to explain in plain English the top 10 most influential data mining algorithms as voted on by 3 separate panels in this survey paper.
Once you know what they are, how they work, what they do and where you can find them, my hope is you…
14 May, 2015
Data mining, to the uninitiated, sounds like the kind of monotonous computational activity that requires a big computer, a mass of information and little human oversight. But in fact it’s a discipline that blurs the lines between artificial intelligence, machine learning, statistics and other cutting-edge disciplines to unearth…
7 May, 2015
When it comes to valuations, the marketing technology landscape seems to follow, more or less, a power law distribution. A few companies are worth a tremendous amount of money, the so-called “fat head” of such a distribution. And then there’s a “long tail” of ever smaller niche companies…
5 May, 2015
Big Data remains one of the IT industry’s most significant megatrends. Revenue from big-data-related hardware and software products and services will reach $38.4 billion this year, according to market researcher Wikibon, and exceed $50 billion by 2017.
With that in mind, the CRN editorial team has…
15 April, 2015
The expectations of CIOs around Hadoop are changing. They’re demanding more ROI from their data and saying goodbye to ‘experimentation.’ Of course, Hadoop is everywhere right now, but we’re seeing people (and companies) coining phrases such as “businesses becoming more data-driven.”
Since its inception, Hadoop has served…
30 March, 2015
There is a reason why Hadoop has become the center of the analytics discussion. The framework can process more kinds of information and faster than traditional data warehouses at a fraction of the cost, yet a new study reveals that organizations are in no rush to switch.
Publication: Silicon Angle
24 March, 2015
In a world of real-time data, why are we still so fixated on Hadoop?
Hadoop, architected around batch processing, remains the poster child for big data, though its outsized reputation still outpaces actual adoption, as 451 Research survey data shows.
[ Harness the power of Hadoop — find out how in…
20 March, 2015
Processing of data in a Hadoop cluster can be done in a variety of ways including streaming, micro-batched, batch mode, and by issuing interactive queries. The boundaries between these ways of processing data are not always completely sharp, but the basic distinctions are important to keep in mind. We…
6 March, 2015
A major issue facing Hadoop early adopters is… now what? While all the excitement about Hadoop is well justified, many people don’t fully understand its limitations – such as the difficulty of connecting and linking data across the cluster – and thus don’t use Hadoop to its fullest potential. you…
Publication: Silicon Angle
18 February, 2015
Data projects are now moving from the experimental stage to providing real returns on investment, with tools such as Hadoop and Cassandra forming an integral part of organizations’ enterprise-wide analytics platform. However, big data is a big investment, both in terms of money and time.
The faster companies are…