Big data lessons learned from visualizing 27 years of international trade data

In my last blog post, I introduced SAS Visual Analytics for UN Comtrade, which helps anyone glean answers from the most comprehensive collection of international trade data in the world. I’d like to share some of what we learned in the development process as it pertains to big data, high […]

Post a Comment

When the going gets tough, the tough use analytics

When do analytics really provide value? All the time, of course. However, one of the best times for analytics to prove their value is when you are asked to do more with less.   Often, the reason we are asked to do more with less is because of an economic downturn […]

Post a Comment

Big data meets open standards

Imagine choosing one application for Linux that worked on the version you currently use. You choose another program but find that it doesn’t work on that version of Linux. A third application? It works with another version of Linux. Luckily, that rarely happens. In 2001, the Linux Foundation established Linux Standard […]

Post a Comment

Winning arguments to convince your boss about Hadoop

Getting universal buy in for Hadoop needn’t be an uphill struggle. In many cases, it only takes one pilot project to realize the benefits of low cost storage combined with powerful analytics. The Hadoop topic provoked passionate conversatoin at a recent roundtable discussion attended by over 25 people from a range […]

Post a Comment

How you can use Hadoop to be as agile and innovative as a start-up!

Weighed down by what has gone before, and what is needed to keep the lights on, the CIOs at many organizations I have worked with have turned to Hadoop with the hope of utilizing it as a major component of an IT infrastructure and as part of their modernization and […]

Post a Comment

Four tips for putting business users in touch with Hadoop

The Global Hadoop market was valued at $1.5 billion in 2012 and is expected to grow at a compound annual growth rate of 58.2 percent, to reach $50.2 billion by 2020, according to a Hadoop Market Analysis report prepared by Allied Market Research.  There is no doubt that IT teams are […]

Post a Comment

Tom Davenport on Hadoop, Big Data and the Internet of Things

I recently caught up with Dr. Tom Davenport, analytics thought-leader and author of Big Data @ Work, in Dublin, where we talked about big data, the Internet of Things and Hadoop. I'll be sharing the conversation here with you in two parts. You'll find part one below, and you can check […]

Post a Comment

Hadoop: the game-changer in banking

At most banks, data is stored in separate databases and data warehouses. Customer data is stored in marketing databases, fraud analyses are done on transactional data, and risk data is stored in risk data warehouses. Oftentimes even liquidity, credit, market, and operational risk data is stored separately as well. Bringing […]

Post a Comment

Hadoop market growth: Breaking out of the Silicon Valley bubble

In the first installment of this series on Hadoop, I shared a little of Hadoop's genesis, framing it within four phases of connectivity that we are moving through. I also stated my belief that Hadoop has already arrived in the mainstream, and we are currently moving from phases three of connecting people to phase four […]

Post a Comment

Predictive analytics and Hadoop: Challenges and solutions for managing the whole analytics lifecycle

So, you've heard the Hadoop hype and you are looking – or have already invested – into Hadoop. Maybe you have also realized some benefits from the Hadoop ecosystem. But now you want to maximize those benefits by using advanced analytics, or you might have heard about algorithms or machine learning libraries available […]

Post a Comment