Big Data

According to the latest Forrest report, many companies are trying to tap into the vast amounts of data they have, including structured, unstructured, semi-structured, and binary data, and explore the use of large data. The following are some of the conclusions of the report: Most companies estimate that they only analyze 12% of the existing data and the remaining 88% are not fully utilized. The lack of a large number of data islands and analytical capabilities is the main cause of this situation. Another problem is how to judge whether data is valuable or not. Especially in the big data age, you have to collect and store this data. One...

In China, Hadoop applications are expanding from internet companies to telecoms, finance, government, and healthcare, according to the IDC's recently released MapReduce ecosystem analysis of China's Hadoop. While the current Hadoop scenario is dominated by log storage, query, and unstructured data processing, the sophistication of Hadoop technology and the refinement of ecosystem-related products, including the increasing support of Hadoop for SQL, and the growing support for Hadoop by mainstream business software vendors, Yes...

Users of large data analysis have large data analysis experts, there are also ordinary users, but data analyst training both for large data analysis of the most basic requirements is visual analysis, because visual analysis can visually present large data characteristics, and can be very easy to be accepted by the reader, as http:// 　　Www.aliyun.com/zixun/aggregation/12897.html "> Look at the picture and speak as simple and clear. The core of the theory of large data analysis is data mining algorithm, all kinds of data digging ...

The value contained in large data has been a driving force for the developers of Hadoop and related tools to motivate themselves when they encounter difficulties. 　　A survey by a large data and service provider, Wikibon, says many companies ' technicians often lack training to effectively use complex hadoop. Jonathan Gray, founder and CEO of Continnuity, said the training was not designed to produce many Hadoop experts, and that companies should focus on developing better tools to help developers ...

Why let Hadoop combine R language? R language and Hadoop let us realize that both technologies are powerful in their respective fields. Many http://www.aliyun.com/zixun/aggregation/7155.html "> developers will ask the following 2 questions at the computer's perspective. 　　The problem 1:hadoop family is so powerful, why do you want to combine R language? Problem 2:mahout can also do data mining and machine learning, ...

As a model of large data technology, Hadoop has always blessed and cursed the enterprise that uses large data. Hadoop is powerful, but very complex, which makes many companies prefer to wait for something easier to come out and launch big data projects. The wait is over. Hadoop is making steady progress, with significant ease-of-use enhancements from vendors such as Hortonworks and Cloudera, which have reduced the learning curve of Hadoop by half. Companies are increasingly embracing large data and Hadoop to migrate from basic ETL workloads ...

In Java Web Development, it is often necessary to export a large amount of data to http://www.aliyun.com/zixun/aggregation/16544.html ">excel, using POI, JXL directly generate Excel, 　　It is easy to cause memory overflow. 　　1, there is a way, is to write data in CSV format file. 　　1 CSV file can be opened directly with Excel. 2 Write CSV file efficiency and write TXT file efficiency ...

Microsoft customers running SQL Server will gain real big http://www.aliyun.com/zixun/aggregation/14345.html > Data processing capabilities through the introduction of Hadoop. Microsoft has released early-stage code that allows customers to access the Java architecture to SQL Server 2008 R2, SQL Server Parallel Data Warehouse, and the next generation of Microsoft ...

Take the XX data file from the FTP host. 　　Tens not just a concept, represents data that is equal to tens of millions or more than tens of millions of data sharing does not involve distributed collection and storage and so on. Is the processing of data on a machine, if the amount of data is very large, you can consider distributed processing, if I have this experience, will be in time to share. 　　1, the application of the FTP tool, 2, tens the core of the FTP key parts-the list directory to the file, as long as this piece is done, basically the performance is not too big problem. You can pass a ...

As we all know, Java in the processing of data is relatively large, loading into memory will inevitably lead to memory overflow, while in some http://www.aliyun.com/zixun/aggregation/14345.html "> 　　Data processing we have to deal with massive data, in doing data processing, our common means is decomposition, compression, parallel, temporary files and other methods; For example, we want to export data from a database, no matter what the database, to a file, usually Excel or ...

The most important reason to choose Hadoop is that three points: 1, can solve the problem, 2, low cost, 3, mature ecological circle. 　　One, Hadoop helps us solve what problems both domestic and foreign large companies have an insatiable thirst for data, and will do everything they can to collect all the data, because the asymmetry of information is constantly being made available, and a great deal of information can be obtained through data analysis. The source of the data is very much, the data format is more and more complex, over time data ...

The open source Apache Hadoop project has been a hot spot, and it's good news for it job seekers with Hadoop and related skills. Matt Andrieux, head of technical recruiting at San Francisco's Riviera company, told us that demand for Hadoop and related skills has been on a straight trend over the past few years. "Our analysis shows that most recruiters are startups, and they are recruiting a lot of engineers," Andrieux said in an e-mail interview.

1. Given a, b two files, each store 5 billion URLs, each URL accounted for 64 bytes, memory limit is 4G, let you find a, b file common URL? Scenario 1: The size of each file can be estimated to be 50gx64=320g, far larger than the memory limit of 4G. So it is not possible to fully load it into memory processing. 　　Consider adopting a divide-and-conquer approach. s traverses file A, asks for each URL, and then stores the URL to 1000 small files (recorded) based on the values obtained. This ...

Oracle defines a BLOB field for storing binary data, but this field does not hold true binary data, can only Gencun a pointer to the word, and then places the data in the LOB segment of Oracle to which the pointer points, and the LOB segment is part of the database's internal table. 　　Therefore, before manipulating an Oracle blob, the pointer (the locator) must be obtained before the BLOB data can be read and written. How do I get a blob pointer in a table? You can insert an empty B in a table using the INSERT statement first ...

In today's Society of data inflation, the value of http://www.aliyun.com/zixun/aggregation/13584.html ">" is becoming more and more prominent. How to effectively excavate the effective information in massive data has become a common problem in every field. Based on the actual demand of the Internet enterprises, the technology companies have started to acquire the information contained in the massive data by using the algorithms of machine learning, data mining and artificial intelligence, and have achieved good results. ...

Hadoop is a large data distributed system infrastructure developed by the Apache Foundation, the earliest version of which was the 2003 original Yahoo! Dougcutting based on Google's published academic paper. Users can easily develop and run applications that process massive amounts of data in Hadoop without knowing the underlying details of the distribution. The features of low cost, high reliability, high scalability, high efficiency and high fault tolerance make Hadoop the most popular large data analysis system, yet its HDFs and mapreduc ...

The world's leading business analytics software and service provider SAS is developing an interactive analysis programming environment that is based on SAS memory analysis technology and is suitable for open source framework Hadoop. 　　New software helps companies improve profitability, reduce risk, improve customer understanding, and create more business success opportunities by tapping large data faster to gain more accurate business insights. SAS? In-memorystatisticsforhadoop enables multiple users to simultaneously and interactively manage, mine and analyze data, build and compare models, and to ha ...

As a model of large data technology, Hadoop has always blessed and cursed the enterprise that uses large data. 　　Hadoop is powerful, but very complex, which makes many companies prefer to wait for something easier to come out and launch big data projects. The wait is over. Hadoop is making steady progress, with significant ease-of-use enhancements from vendors such as Hortonworks and Cloudera, which have reduced the learning curve of Hadoop by half. Businesses are increasingly embracing large data and Hadoop, with the aim of starting from basic ETL workloads ...

As a model of large data technology, Hadoop has always blessed and cursed the enterprise that uses large data. 　　Hadoop is powerful, but very complex, which makes many companies prefer to wait for something easier to come out and launch big data projects. The wait is over. Hadoop is making steady progress, with significant ease-of-use enhancements from vendors such as Hortonworks and Cloudera, which have reduced the learning curve of Hadoop by half. Businesses are increasingly embracing large data and Hadoop, with the aim of starting from basic ETL workloads ...

The seven misconceptions: Big Data and Hadoop are legends of the Open source world for Hadoop, but the industry is now accompanied by rumours that could lead it executives to develop strategies with a "tinted" view. From IDC Analyst Report 2013 data storage growth rate will reach 53.4%,at&t is claiming that wireless data flow has increased 200 times times in the past 5 years, from the Internet content, e-mail, application notifications, social news and daily received messages are growing significantly, ...