For all its vaunted importance to large companies, working with big data is kind of hard. Everybody sort of gets the point: Mine huge troves of data gathered over time through the course of normal business operations, and eventually you get to recognize patterns that turn into new insights that, in turn, can lead to changes that either make or […]
The whole point of investing in Big Data is to drive the development of a new generation of data-driven applications. The challenge most organizations will face is that once they build those applications they will need to have a robust set of APIs through which to share the information those applications create.While it’s still early days in terms of the […]
Pivotal continues to churn out new, important solutions that are helping companies make better use of big data. This week, we have 2 major announcements that will help Hadoop distributions deal with real-time transactional data more effectively and to provision any kind of big data sets, including data from Hadoop, MPP, flat files or a legacy database. The new solutions […]
On a daily basis over 140 million users of micro-blogging service – Twitter are generating a collective 340 million small text messages. This abundance of data contains a multitude of patterns hidden within. But can this data predict whether the stocks go up or down? Can it really assist traders on making calculated, informed and successful trades?I think it is […]
Lucena continuously engages in the evaluation of specialized data sources that could potentially provide insight into certain aspects of the financial markets. Our main goal is primarily to ascertain the data’s price move predictive nature. In many cases we find that combining these unique data elements with our core 300 or so technical & fundamental indicators can yield interesting results.Lucena CTO Tucker […]
Print PDF“If I had asked people what they wanted, they would have said faster horses”, the famous quote by Henry Ford. Nowadays, Ford uses big data to find out what their customers want and to develop better cars faster. Developing a product that requires 20.000 – 25.000 different parts to develop, big data seems to be the only way forward […]
In 2012, Facebook and Twitter boasted a combined user base of more than 1.5 billion users. With over 25 billion Tweets and 30 billion shared statuses a month on Facebook, social media has transformed how people share information. There is no area of society more affected by the rise of social media than large enterprises. Traditional advertising and public relations […]
One of the hottest areas of information technology right now is the field of “Big Data”, and closely related “Business Intelligence”. While these concepts don’t get anywhere near as much discussion as some other emerging industries, say 3D Printing (see my article on 3D Printing stocks here) or Medical Marijuana (See my article here), Big Data and Business Intelligence are […]
Print PDFIt is obvious that the large internet companies like Facebook, LinkedIn or Twitter have many different Big Data solutions. LinkedIn for example employs over 100 data scientists to develop among others the recommendation engine. Twitter developed several open source tools. Also the sentiment analyses or trending topics require a Big Data approach. Facebook’s newest search engine Graph Search combines […]
Back in 2011, sentiment analysis for Twitter was just beginning to phase into mainstream business conciousness. So, when London-based DCM Capital announced a hedge fund based on Twitter sentiment it was a bold move that ultimately didn’t gain the exposure the company were looking for, and the project closed after a few short months.The company has continued to refine its […]
