The true meaning of 2013 Big data: real-time analysis and batch processing

Source: Internet
Author: User
Keywords Large data real time true meaning thought at the same time

The recession of the global economic environment has a direct impact on the investment of IT system construction. However, Gartner believes that "major retardants to IT substituting would lift". As the global economy recovers in a broader context, there will be an increase of 2013 years. It spending will reach 3.7 trillion per cent, up 4.2% from 2012. This is an increase in the forecast of 3.8%, which shows optimism. In addition, global software spending is expected to drop to $296 billion trillion and increase by 6.4%; Hot technologies such as security, storage management, customer relationship management and so on will drive higher growth, while the global telecommunications market remains the largest it consumer market.

In Gartner's view, the "Big Data" analysis tool will be considered a necessary investment in 2014. Meanwhile, the tablet and PC markets will be hit hardest by a strong attack on Android-based handheld devices.

Gartner: Global IT Budget assessment map

At almost the same time, Morgan Stanley also issued a report. It believes that the 2013 big data ten fastest growth areas are:

Healthcare Medical Entertainment Entertainment com/media Internet/media Manufacturing manufacturing Financial Financial Services Business Services business Transportation Transportation Web Tech Web Technology Distribution Communication UB Engineering

The emergence of a number of new technologies, so that enterprises in the choice of platforms, products, programs and services are more likely to fall into different contradictions, easy to make choices are often overturned by practice. In the 2012, the industry's more model was to equate Hadoop with big data. But not just in Hadoop. For example, Cloudera's Impala, not only Hadoop, is also concerned with services that provide time response requirements for all applications, as well as traffic, flow rates, and types of data value analysis.

So, in the eyes of Jim Kaskade, a lot of senior technical people in America, the following technical components are required for 2013 years:

Real-time stream 處理 real-time streaming hoc near real-time analytics (the-NoSQL and Newsql data stores) are particularly close to real time analysis ( Data storage based on NoSQL and newsql) Batch Analytics batch processing and analysis

The most important thing is not one, but to meet three aspects at the same time, is the essence of large data. (Wang/revisers)

(Responsible editor: Lu Guang)

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