At a conference recently the topic turned to big data. And then the conversation immediately jumped to the hot job on the market: the data scientist.
Yes, you capture all this great data and then you have to figure out how to make business sense of it all. Enter the data scientist.
What qualities should organizations look for in a data scientist? What should the job description look like?
One obvious answer: the person should be able to see trends in numbers. Read More
Quick, name something that is growing as fast as the tidal volumes of data today, specially unstructured data? One good answer would be the fast-growing interest in Hadoop, that open source software framework seemingly bred for taming the data monster.
Estimates from Gartner and IDC put the number of Hadoop production systems today in the 1,000 range. Chicken feed, you say, and that is true relative to the millions of proprietary data management and storage solutions out there. Read More
As CIO of one of the nation’s largest providers of senior healthcare, Mark Crandall of Consulate Health Care understands benefits and challenges of having to deal with a considerable amount of data. Read More
There are many difficult aspects to ‘doing’ big data. Data must be stored in such a way as to make it easy to access and analyze. We need to analyze the data, which is much more difficult than most people would think. Once we’ve analyzed that data, we need to convert that analysis into a meaningful form for the organization to consume. Read More
I have to say I got a chuckle out of some of the sound bites Deb Bulkeley cited in her recent post about the Big Data Conference at Ohio State. This one in particular perked me up: “Get ready for the big data backlash.”
Really? Read More
In a previous post titled “Master Data Management and Data Federation”, I wrote about the connection between MDM and Data Federation and how both technologies and systems will help organizations manage and control their data. Read More
As big data journeys intensify, data stewardship has understandably become a key component to success - a component that needs to go well beyond the office of the CIO. In fact, the best strategies promote data stewardship across the entire enterprise with all information users playing a vital role. Read More
When you consider the number of variables in farming, you realize the field is ripe for big data and predictive analytics. Since the days of Poor Richard’s Almanack, farmers have been eager to gain knowledge of factors such as the weather that affect their crops. Recent years have seen an explosion in the use of huge data sets to boost the farm industry. Read More
54Machiavellian — Data science is just extrapolated from basic statistics. A solid understanding of Stat101 with a good imagination is going to be enough. It's like the difference between being an bean-counting accountant and an actuarian.