In this special guest feature, ISC Big Data conference chair Sverre Jarp discusses the Internet of Things with Dirk Slama, Director of Business Development at Bosch Software. In his keynote presentation on October 1, Slama will be focusing on how the IoT is enabling new business models and services, stressing particularly on the key success factors and present a framework that he believes will help enable that success.
In the video presentation below, industry luminary John Chambers makes a keynote presentation at the recent useR! 2014 conference, Interfaces, Efficiency and Big Data.
Intel’s White Paper, “Architecting a High-Performance Storage System,” shows you the step-by-step process in the design of a Lustre file system. It is available for download at insideBIGDATA White Paper Library. “Although a good system is well-balanced, designing it is not straight forward. Fitting components together and making the adjustments needed for peak performance is challenging. The process begins with a requirement analysis followed by a design structure (a common structure was selected for the paper) and component choices.”
Organizations worldwide are struggling against a severe shortage of workers with analytical expertise and skills to understand and make data-driven marketing decisions. Teradata University Network, in conjunction with Teradata (NYSE: TDC), a leading analytic data platforms, marketing applications and consulting services company, are answering the need by making marketing applications, tools, and curricula freely available to university faculty and students.
Coming to us from the recent Spark Summit 2014, here is a compelling presentation by Databricks CEO Ion Stoica that sets the stage for Spark’s continued advance in the big data ecosystem. The Databricks Cloud provides the full power of Spark, in the cloud, plus a powerful set of features for exploring and visualization your data, as well as writing and deploying production data products.
Here is a topic that receives much debate these days – as diverse fields like statistics, computer science and applied mathematics converge with newly named fields such as data science and big data. Can’t we all get along?