Data Scientists

In-Hadoop analytics

August 29, 2014
Hadoop offers a cost effective solution for landing and transforming data before feeding the data warehouse. Hadoop also offers a cost effective solution for aged data that's rolled out of the warehouse. If you're going to extract real business value from big data, then you need to embrace new data sources. Analytics are the key to making sense of big data.  Read More

7 really good reasons to partner SPSS analytics with R

August 29, 2014
The R language has become very popular with statisticians and data miners who use it to develop statistical software. But did you know that you can run R syntax from IBM SPSS Modeler and SPSS Statistics software? The combined strength of both helps address the needs of an organization that has few statistics or programming experts, but that wants to benefit from R. Read More

Doing something about the weather

August 21, 2014
Big data has been the heart of predictive and real-time weather analytics from the start. Throughout all eras, meteorological models have greedily devoured every high-performance computing resource thrown their way. Leveraging these resources, fine-grained local weather forecasting may not be as farfetched as it sounds. It might even be possible to use the Internet of Things and big data to control some atmospheric conditions in real time at the local level. Read More

Most popular infographics and presentations of 2014—so far

August 15, 2014
To close out our week of looking at the most popular content from the first half of 2014, we turn to the royalty of shareable content: infographics, animations and presentations. Read More

The big data jungle is coming to Vegas

August 14, 2014
In the world of big data, the elephant is king. Hadoop, whose elephant logo has become the face of big data, has been joined in the big data jungle by many friends: Pig, Jaql and even a ZooKeeper to keep them all in line. The entire big data jungle will be making a trip to Las Vegas in October for the world’s largest big data conference: IBM Insight. Read More

Using real-time analytics to identify who's scooping whom in online journalism

August 14, 2014
Working journalists are locked into a never-ending race against time. Not only are reporters always up against deadlines, but they are constantly scrambling to make sure they break the news before the competition. As more people turn to online news sources (including, but not limited to traditional news websites, streaming broadcasts and mobile apps) it's a bit bewildering to figure out who is scooping whom when on which breaking topics. Before long, we can expect to see the news services' data scientists build streaming tools that analyze how fast they and the competition are breaking news online, and bragging with data when they find themselves doing the scooping. Read More

Build the next great app in the cloud

August 14, 2014
Think it, try it and build it with IBM Bluemix, a cloud-based developer sandbox for big data and data management services. Bluemix makes agile mobile and web app development with best of breed capabilities a reality. Read More

Top 10 blog posts on big data and analytics from the first half of 2014

August 13, 2014
Data science has been called the “sexiest job of the 21st century,” and based on the posts you have been devouring on IBM Big Data & Analytics Hub, the old adage “sex sells” definitely applies. Three of the most popular blogs from the first half of 2014 are about data scientists, and three more are on Hadoop, which also leans toward the data side of discussions. Let’s review what else you really enjoyed. Read More

Seize your big data moment and benefit from Insight 2014

August 12, 2014
Insight 2014, formerly Information On Demand, will bring more than 13,000 business and IT professionals together to exchange ideas and share experiences around harnessing the data coming from all directions in real time. Read More

Top videos on big data and analytics from the first half of 2014

August 12, 2014
We are taking a week-long look at the most popular content on IBM Big Data & Analytics Hub for the first half of 2014. Here are the most-watched videos of the year so far, covering Hadoop, IBM Watson and use cases for big data. Read More

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