Posts Tagged ‘Big Data’

There is growing interest in Big Data these days. The common definition for Big Data is data sets which are too large (e.g., hundreds of terabytes or into petabytes) to be handled by traditional means. Leveraging Big Data requires an extensive degree of parallelism of both data and computing and may take advantage of low-cost […]

Join us Wednesday, May 30, at 12:00 PM CDT, for the Perficient webinar, “Using Big Data for Improved Healthcare Operations & Analytics.” Register now! Healthcare providers are faced with significant challenges due to regulatory and reimbursement requirements and the everyday pressures of managing care. Providers must be proactive to manage the health of a population […]

The term “Big Data” is being thrown around a lot lately, but what is it, and what makes “Big Data” different from the other data that wework with in the healthcare industry? Big Data is differentiated by its volume, velocity, and variety. The last point, variety, deals not only with the wide variety of formats […]

Brenda Dietrich, IBM Business Analytics CTO, writes about the March 29th announcement by the US government to invest $200 million in research by universities, non-profit institutes and corporations. She says their goal is to improve tools and techniques used to access, organize and make discoveries from large volumes of digital data. It doesn’t surprise me that this […]

Big Data presents a lot of new opportunities – from analytics on petabytes of data to Complex Event Processing (CEP) of many large streams of data in real time. However, Big Data also presents big challenges for Data Management. These challenges include security/privacy, governance, data modeling, and backups. Security – security for many NoSQL-based Big […]

Michael Anderson, an Enterprise Architect at Perficient who blogs on our healthcare IT blog, recently wrote about the types of Business Intelligence categories: Type I – Reporting and Query tool sets Type II – Analytic tool sets Type III – Predictive Modeling tool sets In today’s post about business intelligence, Anderson writes about how you […]

Mark Fidelman of harmon.ie wrote an article for Forbes today outlining Microsoft’s current position, in which they are poised for a launch into social business tools and solutions for the enterprise. He argues that Microsoft, with their business technology foothold in the enterprise, is best positioned to become a primary leader in the social business […]

There is a lot of interest in Big Data these days. The common definition for Big Data is often considered to be data sets which are too large (e.g., hundreds of terabytes or into petabytes) to be handled by traditional means. Leveraging Big Data requires an extensive degree of parallelism of both data and computing, […]

As we head towards the end of the first quarter of 2012, there can be no doubt that concept of Big Data has arrived. But what is Big Data? In 1985 a PC with a 10 megabyte disk drive was state of the art; by 2010 1 terabyte drives were common-place. Is this Big Data? […]

Leon Katsnelson gave a presentation on Big Data and Social Business. His general theme is that we are seeing a LOT of data. This huge volume can fundamentally change how we addressthe business. In todays transactions we want more information on it What was the transaction? Who bought the widget? Where did they get the […]

In addition to increases in cloud computing and consumerization of IT, Gartner’s analysts predict that in 2012, we’ll see noticeable increases in big data. Among other specific predictions, according to FierceCIO: Gartner’s analysts fear that the ever-expanding volume of information available to organizations, coupled with IT’s diminishing control, will make it harder to ensure the […]

It’s been a few months since my last post and a lot has changed on the Business Intelligence front. ‘Big Data’ considerations are working their way into strategy discussions; DW appliances are being considered for BI proposals; and Self-service analytics continues to be one of the top demands of organizations. In response to these changes, […]