The long term prospects of MongoDB and other NoSQL databases will be judged by feature improvements for enterprises. We saw such updates when we visited this year’s MongoDB World convocation. A case study from ADP is discussed in the podcast.
At last week’s Spark Summit, both Databricks, whose founders gave the original Spark framework, and IBM introduced cloud-hosted versions of Spark. These announcements created quite a stir among data scientists who are hungry for the processing power of Spark, but who would rather not put in the time and effort of managing the clusters.
Take a listen to this edition of Talking Data to hear more about why users are so excited about the prospect of hosted Spark implementations and how it could change computing.
Content strategist Diana Hwang joins the Talking Podcast crew to talk about data journalism. Hwang and editor Jack Vaughan took part in a data journalism workshop sponsored by the New England Science Writers group, and they outline their experiences with Python, CartoDB, GeoJSON … and this strange new software they’ve found called ‘Excel’!
Everyone wants to be data-driven these days, including the management. While most of the time this is a positive trend, it can have a darker side. In this edition of Talking Data, we discuss some of the ways businesses are bringing analytics into their management strategies, how these initiatives can work and how they can disadvantage workers when done poorly.
In the podcast, the editors discuss the NoSQL data modeling experiences and advice of users and consultants who took part in the recent Enterprise Data World 2015 conference in Washington D.C. What are the highlights? Use Agile practices – use DevOps – embrace your inner Google.
Most discussions of the ethical implications of big data center around the risks to privacy. But in this edition of Talking Data, we explore some of the other issues, which were explored in a presentation at the Brandeis Analytics 360 Symposium by professor Robert Carver.
Technology analyst Judith Hurwitz recently penned “Cognitive Computing and Big Data Analytics,” which is an in-depth look at a many-headed emerging technology. She told us cognitive computing is, in fact, an amalgamation of many things. Individual aspects can be challenging. But, according to Hurwitz, taken as a whole, this new computing paradigm shows promise.
In this edition of Talking Data, Tech Target editor Ed Burns recaps two recent conferences he attended: the TDWI Executive Summit in Las Vegas and the Sloan Sports Analytics Conference in Boston. The first half looks at the trend of taking a cloud-first strategy to data management. In the second, Burns explains some of the new ways sports teams are using analytics to run the business side of their operations.
The combination of parallelism and machine learning is potent, and it has data scientists at companies like Allstate Insurance, Cisco Systems and Pandora Media in its thrall. They want to build complex machine learning models and run the models repeatedly to improve the results — and they want to do that work as quickly as possible, reporter Jack Vaughan tells podcast cohort Ed Burns in this edition of the TechTarget Talking Data podcast. They discuss this and related doings at the Strata + Hadoop World 2015 conference held recently in San Jose, Calif.recently in San Jose, Calif.
There are a lot of moving parts and a lot of ways to view this thing called Watson. So we tried to get several perspectives on the IBM effort to bring cognitive computing to life in this episode of the Talking Data podcast. Senior SearchCIO.com News Writer Nicole Laskowski told us cognitive computing can be viewed as a way of transitioning the role of the computer so it becomes a partner to the user. SearchBusinessAnalytics.com Site Editor Ed Burns said that IBM may find easier tracking by going after here-and-now call center tasks and travel planning improvements. There is a view on the competition, a Watson user and more in this special report.