Predictive analytics initiatives can be great, but businesses need to stay vigilant. In order to get any value out of the project, a sharp focus on specific goals is necessary. This podcast takes a look at some recommended strategies and potential pitfalls for getting to real business value in predictive modeling
Bleeding-edge users have been working with open-source Hadoop and MapReduce for a few years. Now a Hadoop-compatible MapReduce alternative known as Spark is coming online to provide a timely streaming type of analytics. Hadoop and Spark have much in common, as discussed in this episode of the Talking Data podcast.
The European take on big data is different than that in the United Kingdom, which bears a bit more resemblance to the Hadoop-happy big data take of the U.S., according to Brian McKenna, business applications editor at TechTarget’s Computer Weekly website in London. We spoke with McKenna about this and more for a ‘continental flavored’ episode of the Talking Data podcast.
It has become a recurring theme this year. The Spark framework has gained attention, at the same time taking some wind from the Hadoop framework’s sails. Over the summer such news was a major preoccupation of the big data community, as discussed in this episode of the Talking Data podcast.
I have to admit, for me, the term ‘Mongo’ will always bring memories of Flash Gordon and his travels. But it is also the name on one of the most successful databases in NoSQL. Will that new database type find a home in traditional enterprises, ones where SQL curses through their veins like blood? Listen to this podcast and find out. (Note: It was recorded just after the event in the summer. Since that time, there have been some changes at the top of the company leadership.)
Just back from Hadoop Summit 2014 in San Jose, California, Jack Vaughan tells podcast moderator Ed Burns that SQL-on-Hadoop is one of the more important trends in big data today. SQL support could well decide Hadoop’s ultimate role in an enterprise, the reporter states.
This summer Enterprise Data World proved a mother lode of data quality information. Jack Vaughan and Ed Burns discuss governance, data quality and big data.
We’ve been hearing a lot about data journalism lately. As journalists who are concerned with data analysis, the issue is near and dear to our hearts. In this edition of Talking Data, we take a look at some of the factors contributing to the rise of data journalism and how it relates to the broader analytics world.
Data architecture and cloud were strangers at first, as security concerned IT. That will change, said reporters in a compelling rendition of the Talking Data podcast.
In this Talking Data podcast, SearchCIO’s Nicole Laskowski reports on doings at a Gartner business intelligence summit.Under discussion at the event was building a culture of “big data” in the corporation.