October 20, 2014
Big data (data from many sources, of varying formats, both structured and unstructured) means different things in different industries. But as different as their needs and usage of big data may be, there is one commonality among all industries: the opportunity to plumb big data for better, more informed perspectives on their customers, products, partners, competitors and strategies.
October 16, 2014
I'm impressed with initiatives in the U.S. data scientist community to volunteer their time to worthy causes at home and abroad. Clearly, most of the data scientists who participate in communities such as New York-based DataKind have day jobs to pay the bills. But they see larger humanitarian causes (reuniting refugees, curing infectious diseases, feeding hungry populations and guaranteeing civil rights to the disenfranchised for example) that can benefit from the smartest data scientists applying their best efforts and most sophisticated tools to the task. To sustain the engagement of the data science community in these common causes, what's needed is for people and institutions to open source all of their decision-support assets: data, analytics, tools, platforms and, of course, expertise.
October 16, 2014
It’s easy to understand why big data is intimidating as the whole gang of JSON, SQL, YARN and UDFs (user-defined functions) invoke glazed eyes and thoughts of extraterrestrial technologies. So, even to the uninitiated, what is the big deal about UDFs?
October 15, 2014
IBM InfoSphere BigInsights is an industry-standard Hadoop offering that combines the best of open source software with enterprise-grade features. Let’s talk about some key features of the distribution and the top ten reasons to love it—
October 15, 2014
Agile development requires agile fingers, and big problems require smart minds working together to solve them. Big data has opened the door for everyone to collaborate, think bigger and drive change in the world. Accessible and open services make harnessing the power of big data for these changes a reality.
September 30, 2014
How can we take documents, email or social media (and beyond) to show what they represent?
September 29, 2014
Big data presents a tremendous opportunity to alter the ways we think and do business. Hadoop, analytics and other technologies will be front and center at this year’s Strata/Hadoop World event in NYC on October 15 through 17 and we will be there to discuss text analytics, Hadoop use cases, SQL-on-Hadoop, machine learning and much more. Will you join us?
September 19, 2014
Data is coming at us from various sources, in unique formats and at different speeds—with no end in sight. How can organizations get the most value from huge amounts of data efficiently and effectively to drive key business decisions?
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.
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.