Big Data

With the rapid development of information, more and more data information waiting to be processed, how quickly from these massive data to find the data you need it. This is the big data processing problem, I have a few classic big data problem

2014-08-22 BaoxinjianI. Summary 1. Partition table:As the table continues to grow, it is more difficult to maintain the new record's increase, find, delete, and so on (DML). For a very large table in a database, you can simplify the management

 mysql Big Data high concurrency Processing (reprint)Tags: concurrent database2014-03-11 23:05 4095 People read comments (0) favorite reports Classification:Database (9)MySQL Big data high concurrency processingPosted on 2013-5-14First, the

The program was started on January 21, 2016, the teacher or Lvy, hey ... Success on their own Ah!The course of the project is 15 days, because the spring Festival sandwiched in the middle, so it seems a long time ah.At present, I have not finished

As spatial data permeates every aspect of social life, the ability to provide services for big data needs to be enhanced. such as National Geographic conditions census data, only space vector data a province data volume in the 30GB, the image is

A few days ago on the water wood community, found that there are still Daniel, read about the big data and database discussion, found it is quite interesting, confined to space and layout, I did part of the finishing.First look at this person's

One: Cause(1) Before processing the text data, all kinds of cleaning data are used in Java File,filereader/filewriter,bufferedreader/bufferedwriter class, See Java Read and write files(2) Java is used because the map in Java is very flexible, the

First, C4.5C4.5 is a classification decision tree algorithm in machine learning algorithm, it is a decision tree (decision tree is a decision-making node of the organization like a tree, in fact, a inverted tree) core algorithm ID3 improved

NetEase Big Data Platform Spark technology practice author Wang Jian Zong NetEase's real-time computing requirementsFor most big data, real-time is the important attribute that it should have, the arrival and acquisition of information should meet

In the era of big data, the volume of data is increasing, so there are two fundamental questions to show in front of us that is, one, how to store massive amounts of data, and the other is how to analyze the massive data, transform the data into

Many distributed computing systems can handle big data streams in real-time or near real-time. This article will briefly introduce the three Apache frameworks, and then try to quickly and highly outline their similarities and differences.Apache

Big Data is in the Scala language, and Java is somewhat different and more powerful than Java, eliminating a lot of tedious things, Scala's interface is defined by trait, different from the Java interface, trait can have abstract methods can also

First of all, let me start with my intentions . Machine learning system now much more red NB this thing I don't have to repeat. But because of the particularity of machine learning system, it is not easy to build a reliable and useful system. Every

(This article also published in my public number "dotnet daily Essence article", Welcome to the right QR code to pay attention to. ) Preface: Build2016 After a long time, and now only to review, say those and big data related to the session, also

Basics: Linux Common commands, Java programming basicsBig Data: Scientific data, financial data, Internet of things data, traffic data, social network data, retail data, and more.Hadoop: An open source distributed storage, distributed computing

　　The top conferences in the field of data mining are KDD (ACM sigkdd Conference on Knowledge Discovery and data Mining), as well as the public awareness of peers to the Conference, which is recognized, The top-ranked conferences are KDD, ICDE, cikm,

First, Scala is the combination of functional programming and object-oriented programming language, what are the characteristics of these two programming? A: Functional programming excels at numerical calculations, and object-oriented programming is

generate a unique ID for each line of a big data file4 Main ideas:1 single Thread processing2 Common multithreading3 Hive4 HadoopSearch for some referencesHadoop in Action notes-2, Hadoop input and

To better support big data applications, Fujitsu has launched an all-flash array and big data all-in-one machine optimized for big data. This ensures the high performance and high reliability of the entire system, this further improves the

"Winning the cloud computing Big Data era" Spark Asia Pacific Research Institute Stage 1 Public Welfare lecture hall [Stage 1 interactive Q & A sharing]   Q1: Are there many large companies using the tachyon + spark framework? Yahoo! It has been