udacity big data

according to the relevant statistics, nearly -Global per capita digital information storage capacity per +months doubled, " as of every day 2.5 exabytes (2.5x10) ofdata were created " , that is to say, the world produces daily -trillionMBelectronic information needs to be stored. The scientists are also troubled by the fact that humans are upset about the big data resources they make. This situation is not

Mobile Big Data era most in programming language must read listThis is a fast change, fast fish eat slow fish era. From the IT era into the DT era, and then to the present era of intelligence. Rapid innovation of new technologies, new tools, new platforms, requires programmers to master good programming ideas and learning methods, and constantly learn new technologies, new knowledge, in order to keep up wit

1 , visual analysisBig Data analysis users have big data analysis experts, but also the average user, but they are the most basic requirements for big data analysis is visual analysis, because visual analysis can visualize big

China's years like to engage in concepts, what cloud computing big Data Ah, state support, expert advocacy, the major conferences and forums, lively after the discovery or silently in the use of foreign technology and platform, just as the PC operating system without our part, mobile phone operating system is not our share, Although we are the world's largest computer and mobile phones and people like to pl

The mindset to change in the big Data Age: To analyze all data, not a small sample of data To pursue the intricacies of data, not accuracy Be concerned about the relationship of things, not the causal relationship 1. Analyze all

The fine operation of Shopping center is imperativeWhile online retailing has had a big impact on offline retailing, in the real ratio of retail sales, offline retail accounted for up to 90%, while online retailing accounted for only 10%. Looking to the future, offline retailing is still an important part of retail, because each of us has a physical body, physical convenience and physical experience, both of which support the long-term development of

About nine types of technology and their fields. Then, since there is a meal, there must be cooking. So the big data technology structure selection, must have at least three kinds of components (source, calculation, storage)The simplest data processing architecture:The least unit of data processing scheme, of course th

problem tangled for a long time (MySQL data old cause program memory bloat, parallel 2 direct system is down), also went to see a lot of source code only to find the miracle is here, finally through the MySQL document confirmation, and then tested, parallel multiple, and the amount of data is more than 500W, does not cause memory bloat, the GC is all right, and the problem is finally over.After reading the

Examples of exception detection methods and ideas based on Big Data Analysis 1 OverviewWith the deepening of information technology in human society, the data produced by information systems is also growing exponentially. In-depth analysis of such data can produce a lot of valuable information. Because of the large amo

How do you find treasures in the ocean of big data? For enterprises that have massive data information to process, the first obstacle to be overcome before data analysis is the inability to locate relevant and meaningful information. How do you find treasures in the ocean of big