best big data books

Radish (: Robbie_qi)The recent study of a big data company 1010data in the United States, which presented the concept of a new generation of data warehouses in the product whitepaper (next-generation data DISCOVERY), has the following characteristics compared to the first generation

our best customer base (will buy bicycles), which is 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 predi

Tags: style blog http io color ar os for SPOriginal: (original) Big Data era: a summary of knowledge points based on Microsoft Case Database Data Mining (Microsoft Time Series algorithm)ObjectiveThis article is also the continuation of the Microsoft Series Mining algorithm Summary, the first few mainly based on state discrete values or continuous values for specu

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

... If you want to buy a car, you have to have money.Accuracy VerificationFinally, let's verify the accuracy of today's clustering algorithm, and what is the difference between the decision tree algorithms in the previous article, we click into the data Mining accuracy chart:We can see that today's cluster analysis algorithm, the score is 0.72, than the previous decision tree algorithm 0.87, or a slight gap, of course, can not only score to evaluate

Recently I asked a lot of Java developers about what big data tools they used in the last 12 months.This is a series of topics for: Language Web Framework Application Server SQL data Access Tool SQL database Big Data Build tools Cloud Pro

A modular big data platform can solve 80% of the big data problems. To solve the other 20% of the problems, big data platform vendors must meet the special needs of industry customers for customized development. ZTE's DAP 2.0

Easily learn multithreading (I) -- the big data era requires multithreading and the multi-threaded data Era In the demand for big data and high concurrency, how can we make our enterprise survive and survive in the harsh environment of competition? This avoids writing concur

The application of factor space theory in big dataWang PeizhuangLiaoning University of Engineering and Technology(Speeches on the theme forum on big Data and data science progress, collated)China's data and machine intelligence Science workers shoulder the task of leading th

Source: http://www.cnblogs.com/mokafamily/p/4076954.htmlThe explosive development of NoSQL technology　　For a long time in the past, relational databases (relational database Management System) have been the most mainstream database solution, He uses things and relationships in the real world to explain the abstract data architecture in the database. However, in the explosive development of information technology today,

For a long time in the past, relational databases (relational database Management System) have been the most mainstream database solution, He uses things and relationships in the real world to explain the abstract data architecture in the database. However, in the explosive development of information technology today, big data has become the cloud computing, the

Http://db-engines.com/en/rankingTransferred from: http://www.cnblogs.com/mokafamily/p/4076954.htmlThe explosive development of NoSQL technology　　For a long time in the past, relational databases (relational database Management System) have been the most mainstream database solution, He uses things and relationships in the real world to explain the abstract data architecture in the database. However, in the explosive development of information technolo

solved one by one in the future. Many may not have an intuitive understanding of the role of big data. Here are some simple examples. People who have read the big data age may know this example. If you have all shopping records in supermarkets, you may find that many people buy beer when they buy diapers, you put the

With the deep application of big data in various fields, the value of big data itself is also highlighted. Researchers and commercial users analyze big data to gain insight into the real needs of customers.

Jdbc BASICS (3) Big text, binary data processing, and jdbc Data Processing LOB (Large Objects)Divided:CLOBAndBLOBBig text and big binary data CLOB: used to store large text BLOB: used to store binary data, such as images, sounds,

Big Data paging solution and data paging Solution 1. Writing PurposeThe paging solution is proposed to solve the performance problem when the system needs to retrieve the big data list.2 terms, definitions, and abbreviations 3. Performance Analysis of Large

Oracle Data Processing and oracle Big Data ProcessingDML Language : address character; (PrepareStament) Batch Processing: insert -------- insert employees of Department 10 to a new table at a time; Do not write values statements; the Value List in the subquery should correspond to the column name in the insert substatement; the difference between delete and trunc

Socket -- accept big data, socket -- accept dataI. Simple ssh Functions 　　1.1 implement functions In the previous blog, we have implemented a simple small program similar to the Linux Server ssh function. You can enter a system command to return the command running result. Today we will start with this, let's see how the socket can accept a large amount of data.

features that big data should have, in fact, there are more big data features that we need to discover, such as analytical, social, research, and so on.As the old saying goes: three points by technology, seven by the data, who gets the