Technical Enablement

Bringing cloud-based modernization to data warehousing and analytics

October 28, 2014
IBM this week announced dashDB, which brings cloud-based modernization to data warehousing and analytics. dashDB helps customers to ensure that infrastructure doesn't stand in the way of them realizing fast value from an agile enterprise data warehouse. Many smaller and mid-sized users have little data-warehousing infrastructure to begin with, so a public cloud service such as dashDB might make perfect sense for them as an on-ramp. And many larger enterprises can benefit from dashDB as a robust cloud-based platform that supplements on-premises platforms within their multi-tier data-warehousing infrastructure. Read More

Big data for social good, not for profit

October 23, 2014
Now that the Ebola virus is sitting in our backyard, the entire country is on high alert—and rightfully so, as it's no longer a disease that's plaguing people continents away, in little known countries. WHO indicates that there are 9216 Ebola cases with 4555 deaths. My first thought when I look at these statistics is: where is big data in the Ebola equation?  Read More

What’s the scoop on Hadoop?

October 23, 2014
“Hadoop is unstoppable as its open source roots grow wildly and deeply into enterprise data management architectures,” Forrester analysts Mike Gualtieri and Noel Yuhanna wrote recently in The Forres Read More

Big Data & Analytics Heroes: Addison Snell

October 21, 2014
Intersect360 Research studies the opportunities for high performance technologies, including high performance computing areas in science, engineering and business. CEO Addison Snell (this week’s IBM Big Data and Analytics Hero) shares his insights with us. Read More

Collaborations and correlations in the common cause

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. Read More

UDF: Tiny acronym, big deal in big data

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? Read More

10 reasons to love IBM InfoSphere BigInsights for Hadoop

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— Read More

Big data for social good

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. Read More

Big Data & Analytics Heroes: Steven P. Pratt

October 14, 2014
CenterPoint Energy can analyze 2.3 million smart meters at any point in time every day using InfoSphere Streams. Dr. Steven P. Pratt, corporate technology officer at  Centerpoint Energy and this week’s Big Data & Analytics Hero, shares that “ultimately what we want to be able to do is recognize issues in our system before power outages occur.” Read More

Distributing data science brainpower more equitably among the haves and have-nots

October 9, 2014
Data scientists, like anybody else, tend to gravitate to where the jobs are, especially those that fetch higher salaries, offer the resources needed to achieve their dreams and promise more rewarding career paths. For that reason, larger employers with well-established, amply funded big data initiatives tend to have an advantage over smaller organizations when it comes to recruiting the best and brightest data scientists. In order to more equitably distribute data scientist expertise among the haves and have-nots, the requisite skills, tools and platforms need to become more widely available at low or no cost. Read More

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