best database for big data

Reprint: http://www.cnblogs.com/zhijianliutang/p/4067795.htmlObjectiveFor some time without our Microsoft Data Mining algorithm series, recently a little busy, in view of the last article of the Neural Network analysis algorithm theory, this article will be a real, of course, before we summed up the other Microsoft a series of algorithms, in order to facilitate everyone to read, I have specially compiled a catalogue outline:

algorithms more popular?Answer: In general, the graph mining algorithm is divided into two stages.Phase one: Centralized graph data segmentation and distribution; Phase two: Distributed graph calculation.If the use of complex graph cutting algorithm, the system load balanced, less inter-machine communication, so the second stage of high efficiency, but the use of complex algorithms not only high cost of development, in the first phase of the cost is

Reprint: http://www.cnblogs.com/zhijianliutang/p/4050931.htmlObjectiveThis article continues our Microsoft Mining Series algorithm Summary, the previous articles have been related to the main algorithm to do a detailed introduction, I for the convenience of display, specially organized a directory outline: Big Data era: Easy to learn Microsoft Data Mining algorit

the results is so high! The existence of this model directly kills any other analysis algorithm, God horse clustering, Bayesian are floating clouds .... Floating clouds only.Through the above analysis, we have established our inference, male and female comrades in want to buy bicycles this thing is a group difference, not only by analyzing the whole facts can be obtained, of course, the two species of men and women on the Earth, there is a large difference in behavior and characteristics, For b

Excerpted from Chapter 14 "Big Data daily notice: Architecture and algorithms", the book directory is here for massive data to be mined, in a distributed computing environment, the first problem is how to evenly distribute data to different servers. For non-graph data, this

conn; public statement stmt; Public resultset RS; public test () {try {class. forname (classdriver);} catch (classnotfoundexception e) {e. printstacktrace () ;}}/*** use JDBC to create a table */Public void createtable () {string SQL = "CREATE TABLE batch (A1 varch AR (10), A2 varchar (500) "; try {conn = drivermanager. getconnection (URL, username, password); stmt = Conn. createstatement (); Boolean F = stmt.exe cute (SQL); system. out. println (f);} catch (sqlexception e) {e. printstacktrace

reference to the previous article, the focus of the new panel to see what the role of. Here we look for a product to analyze, we choose the previous association rule algorithm in the most Outstanding kettle (water Bottle) to see: We renamed two groups, most of the most likely to buy water bottles and the most unlikely to buy water bottle groups, we pin these two groups for cluster analysis ', we look at the second panel: We can see the two groups and regions have very

Original: (original) Big Data era: a summary of knowledge points based on Microsoft Case Database Data Mining (Microsoft Naive Bayes algorithm)This article is mainly to continue on the two Microsoft Decision Tree Analysis algorithm and Microsoft Clustering algorithm, the use of a more simple analysis algorithm for the

of the most want to buy a car of the characteristics of the silver, tomorrow continue to analyze, and see can help me to simple analysis, the same first a few of the structure of the picture:Tomorrow night the results are analyzed, and the characteristics of the two algorithms are compared and analyzed. Be interested in big data don't forget your "recommendation" Oh.The power of

Reprint: http://www.cnblogs.com/zhijianliutang/p/4076587.htmlThis is the last article of the Microsoft Series Mining algorithm, after the completion of this article, Microsoft in Business intelligence this piece of the series of mining algorithms we have completed, this series covers the Microsoft in Business Intelligence (BI) module system can provide all the mining algorithms, of course, this framework can be fully expanded, You can customize the mining algorithm, but the current series is not

(2); FileOutputStream out=NewFileOutputStream (NewFile ("E:/a/a.jpg"));byte[] buf =New byte[1024x768];intlen=0; while((len=inch. Read (BUF))!=-1){ out. Write (BUF,0, Len); }inch. Close (); out. Close (); } con.close (); }Demo Result:Although the big data can be stored, but generally do not store big data, because t

Working with big Data ObjectsCLOB can store huge amounts of textLarge amounts of binary data can be stored in BLOBsIf you want to handle such large object operations in your program, you must do so with PreparedStatement , and all of the content is saved and read from the large text field in the form of IO streams.Write large text dataThe encoding of Chinese char

Big Data Objects mainly refer to Clob and blob two types of fields, in the CLOB can store a large amount of text, such as storing a novel. In a blob, you can store binary files, such as movies, pictures, and so on, if you want to work with large data objects in your program, you must use PreparedStatement to complete all of the content to be saved and read in th

Label:Original source: http://www.searchdatabase.com.cn/showcontent_88247.htmHere are some excerpts:The latest big data innovations include: Oracle Big Data Discovery is a "visual Hadoop" and is an end-to-end product that is designed to discover, explore, transform, mine, and share with the insights of

Label:First, the design of database structure If not design a reasonable database model, not only will increase the client and server segment program programming and maintenance difficulty, and will affect the actual performance of the system. Therefore, the design of a complete database model is necessary before a system starts to implement. In a system analysis

Li wanhong, the initiative to develop a new generation of big data distributed relational database, has entered the big data era, while nosql databases do not provide powerful support for SQL and transactions. Therefore, the development of a new generation of

Tags: blog http using strong data OSHttp://blog.sina.com.cn/s/blog_7ca5799101013dtb.htmlAt present, although big data and database all are very hot, but quite a few people can not understand the essential difference between the two. Here's a comparison between big

Tags: incremental Fill Batch End statistics SDN 10 minutes experiment fixedQuestion: How do I design or optimize a big table for tens? In addition, there is no other information, the personal feel that this topic is a little fan, have to simply say how to do, for a storage design, must consider the business characteristics, the information collected are as follows:1. Data capacity: 1-3 years will be about h

PostgreSQL-based scalable, open-source Big Data cluster database: POSTGRES-XLhttp://www.postgres-xl.org/Postgres's-XL is a scale-out open source SQL database cluster based on the PostgreSQL database, with sufficient flexibility to handle different

" : "zhangsan" }{ "_id" : ObjectId("5b4eb96759122739e2695614"), "id" : 2, "name" : "lisi" }mongos> db.test.remove({"id":1}) #删除test集合中的id为1的数据WriteResult({ "nRemoved" : 1 })mongos> db.test.find(){ "_id" : ObjectId("5b4eb96759122739e2695614"), "id" : 2, "name" : "lisi" }mongos> db.test.update({"id":2},{$set:{"name":"wangwu"}}) #修改数据WriteResult({ "nMatched" : 1, "nUpserted" : 0, "nModified" : 1 })mongos> db.test.find(){ "_id" : ObjectId("5b4eb96759122739e2695614"), "id" : 2, "name" : "wa