Big Data Technology

4 analyze big data.

Big data technology. Another approach is to determine upfront which data is relevant before analyzing it. Nowadays big data technology is addressing many business needs and problems by increasing the operational efficiency and predicting the relevant behavior. Either way big data analytics is how companies gain value and insights from data. Henceforth its high time to adopt big data technologies.

Today a combination of the two frameworks appears to be the best approach. The newvantage partners big data executive survey 2017 found that 95 percent of fortune 1000 executives said their firms had invested in big data technology over the past five years. In some cases those investments were large with 37 2 percent of respondents saying their companies had spent more than 100 million on big data projects and 6 5 invested more than 1 billion. Keeping up with big data technology is an ongoing challenge.

Analytical big data is like the advanced version of big data technologies. A few years ago apache hadoop was the popular technology used to handle big data. Finally big data technology is changing at a rapid pace. In short analytical big data is where the actual performance part comes into the picture and the crucial real time business decisions are made by analyzing the operational big data.

With high performance technologies like grid computing or in memory analytics organizations can choose to use all their big data for analyses. Then apache spark was introduced in 2014. It is a little complex than the operational big data.