best big data books

Original: (original) Big Data era: a summary of knowledge points based on Microsoft Case Database Data Mining (Microsoft Decision Tree Analysis algorithm)With the advent of the big data age, the importance of data mining becomes a

data result effective presentation and presentation, need to use pyramid principle, chart and PPT, word presentation, cultivate good speech ability.Recommended Books:1, "Persuasive let your ppt will speak", Zhang Zhijin and so on, the people post and Telecommunications press.2, "Don't tell me you understand ppt" reinforced version, Lizhi, Peking University Press.3, "Speak with a chart", Keane. Zerazny, Ma

cause trouble for subsequent analysis.3.2 comparison between values and descriptions Observe the values of each variable and compare them with the description of the variable in the existing file. This work can identify inaccurate or incomplete data descriptions. Actually, whether the data you recorded is consistent with the data you want to describe must be det

server platform and the target server. Staging data can beTo allow for tracking and auditing of data sent and received, as well as timing processing of data to allow loose coupling between source and target systems or asynchronousProcessing, that is, the two systems do not need to work together at the same time to process the

Zhuan:https://www.linkedin.com/pulse/100-open-source-big-data-architecture-papers-anil-madanBig Data technology have been extremely disruptive with open source playing a dominant role in shaping its evolution. While on one hand it had been disruptive, the other it had led to a complex ecosystem where new frameworks, libraries a ND tools is being released pretty m

Note: this article to be fan Soft software general manager Chen Yan at the China data Analyst Industry Summit speech Record. today, I would like to share with you the " Management of Data".Lenovo's Mr Liu said, management three elements: Build a team, set strategy, with the team. China's typical construction team thinking, are through the palpation to choose people and employing, this drawback we all know,

described above several algorithms, but will not feel the information from the big data is too little point, With a lot of problems just through the above several algorithms are not extrapolated, but this information happens to be the top leaders concerned, for example, said:1. As a data analyst, can you predict the sales performance of the next year according t

When big data talks about this, there are a lot of nonsense and useful words. This is far from the implementation of this step. In our previous blog or previous blog, we talked about our position to transfer data from traditional data mining to the Data Platform for processi

Tags: blog http ar os using SP strong data onOriginal: (original) Big Data era: a summary of knowledge points based on Microsoft Case Database Data Mining (Microsoft Clustering algorithm)This article is mainly to continue the previous Microsoft Decision tree Analysis algorithm, the use of another analysis algorithm for

Python financial application programming for big Data projects (data analysis, pricing and quantification investments)Share Network address: https://pan.baidu.com/s/1bpyGttl Password: bt56Content IntroductionThis tutorial introduces the basics of using Python for data analysis and financial application development.Star

The development premise of Big Data　The concept of big data in fact in 1998 has been raised, but only now began to develop, these are in fact, and the rapid development of mobile Internet is inseparable, the high-speed development of mobile Internet, for the generation of big