The trend of big data development - 3D visualization technology

In the current era of big data explosions, big companies across several industries are beginning to cleverly pinpoint numbers, trends and patterns by aggregating data, which is the key to their service improvement. But as the data gets more cumbersome and complex, organizations that manage that data and extract the value of those data face a huge challenge. In the past few years, more and more valuable analytical solutions have started to enter the market. Will 3D visualization become a new model for managing, analyzing and interacting data after 2013?

Earlier this year, President Barack Obama jumped onto the Big Data wagon and approved a $ 200 million U.S. National Institutes of Health, Defense and Energy unit and the U.S. Geological Survey's research and development program for big data . This is a significant investment and validates the potential value of the information coming from big data. Organizations in charge of these projects have the opportunity to discover the value of big data, and in order to provide the maximum ROI (return on investment), it is important to analyze the data from all angles. The immense amount of data and the inherent complexity of the data amplify the difficulty of task analysis beyond the current standard methods. The challenge now is to capitalize on the power of technology and human intuition to extract value and benefits from information.

The typical 2D format we use to analyze the data typically includes a list of numbers in a spreadsheet or a grouping of pie charts but this is useful for information that we can actually take and use for planning, decision making, target customers, limit. While smart solutions can provide insight automatically, a whole layer of detail has not been discovered - meaning that important trends are likely to be buried in numbers. Physical visualization gives people the cognitive processes that allow us to see what might not have been noticed.

The concept of data visualization has been discussed in the past few years and a TED lecture by David McCandless in 2010 is a good example of how to transform presentation data into a visual exploration. In this talk, David provided several data in 2D, but the evolution of 3D is the evolution of this evolution, which opens the door to more value to be discovered.

Think of Google's 3D map of 3D images or 3D images sent back by Mars rovers for NASA's research. 3D images are becoming a very important resource for consumers and researchers, but the question is, why? Data is always a key part of the research process, but big data is still relatively new to the business world , And big data is compounded by advances in imaging, mobile development, and other new ways of gathering data. Using images to indicate that data is something that businesses with exposure to large amounts of data should consider.

As we move into 2013, we predict that we will see more and more businesses looking for new ways to harness big data to drive their business forward; in terms of development, we may see more focus on creating Visualize the application. Still-moving 3D features may be another effective way of finding valuable big data.