Big Data

Hadoop's big http://www.aliyun.com/zixun/aggregation/14345.html "> Data processing capabilities can be used to mine data, explore relationships between seemingly unrelated information, 　　As well as quick fixes for software engineers using traditional technology to solve the problem of digging, the large data processing function of Hadoop has so many uses software professionals have never been surprised. Are hospitalized patients suffering from staphylococcus infections? When talking about ...

In large data technology, Apache Hadoop and MapReduce are the most user-focused. But it's not easy to manage a Hadoop Distributed file system, or to write MapReduce tasks in Java. 　　 　　Then Apache hive may help you solve the problem. The Hive Data Warehouse tool is also a project of the Apache Foundation, one of the key components of the Hadoop ecosystem, which provides contextual query statements, i.e. hive queries ...

Another important tool from Google looks beyond the Hadoop Mr--pregel framework to achieve graphical computing (Malewicez et al.2010). The calculations in Pregel are made up of a series of iterations, called Supersteps. Each vertex on the diagram is associated with a user-defined calculation function; Pregel ensures that each superstep concurrently invokes a user-defined calculation function on each edge of the diagram. Vertices can send messages through edges, and exchange values between vertices. It's also ...

The big data age has come and has quietly influenced our lives. According to a recent study by IDC, 1 million new links are shared every 20 minutes on Facebook and 10 million user reviews are released. 　　Facebook and all other Internet sites, Internet applications, have gradually become the entire data, analysis, processing and value-added architecture. In China, social networks are also in full swing. Sina Vice President Wang Gaofei has said that Sina Weibo has registered more than 300 million users, users on average daily release more than 100 million micro bonnet ...

Software engineers with large architecture data solutions know that http://www.aliyun.com/zixun/aggregation/13782.html "> Business Analytics has a technology that spans SQL databases, NoSQL databases, unstructured data, Document-oriented data storage and large processing. If you guessed Hadoop, you answered correctly. Hadoop is also a common denominator for many big companies, such as Amazon, Yahoo, AOL, Netflix, EBay ...

Large http://www.aliyun.com/zixun/aggregation/14345.html "> Data processing Model MapReduce (followed by" Large Data processing--hadoop analysis (a) ") The data produced in the large data age will ultimately need to be computed, and the purpose of the storage is to make the data analysis bigger. The significance of large data is to calculate, analyze, and excavate the things behind the data. Hadoop not only provides a distributed file system for data storage ...

Recently, with Baidu, Ali, Tencent, China Mobile data Center architects to communicate, but also in the online forum/community leading large data analysis examples of some discussions, with the Internet/cloud developers to communicate. Thus, I am happy to find that large data analysis is very common in China: not only Starbucks, card house and other American cultural elements in China is widely sought after; Hadoop is also widely accepted and dominates the discussions of Chinese cloud developers. But, like other popular things, people are looking for a discussion to consider whether its current heat is reasonable. ...

This era is called the era of large data, the production of various industries produced by the explosive growth of data, and based on these explosive growth data to do deep data mining, analysis, processing. So we can easily feel that in such a large data age, many of our ways of doing things are changing. For example, based on large data analysis can do disease predictive control, based on large data analysis can do traffic flow forecast control; Based on large data analysis can do large-scale system fault diagnosis prediction; Based on large data analysis can do customer consumption recommendation. It can be said that the large number ...

MySQL optimization is very important. The most common and most needed optimization is limit. 　　The limit of MySQL brings great convenience to paging, but when the amount of data is large, the performance of limit is reduced dramatically. The same is 10 data select * FROM Yanxue8_visit limit 10000,10 and select * from Yanxue8_visit limit 0,10 is not a quantitative level ...

Back-end development work related to big data for more than a year, with the development of the Hadoop community, and constantly trying new things, this article focuses on the next Ambari, the new http://www.aliyun.com/zixun/aggregation/ 　　14417.html ">apache project, designed to facilitate rapid configuration and deployment of Hadoop ecosystem-related components of the environment, and provide maintenance and monitoring capabilities. As a novice, I ...

Companies around the world are now using cloud services to implement large data analysis to drive ecosystems, and it is important for IT managers and C-level executives to keep improving. To keep up with the pace of development means the risk of losing customers. It is the most basic principle of the enterprise ecological chain: adaptation or being eaten. IT systems help the enterprise analyze the data collected by the storage system, which is very advantageous. But this is easier said than done because there are a lot of things to consider when building a new system or rebuilding an old system. Management requires the system to run at optimal performance in order to gain positive return on investment. Here is the big data/had ...

Personal Summary: Hadoop:hadoop is a software framework capable of distributed processing of large amounts of data, which is a technical implementation of large data: data: We've all heard this prediction: by 2020, the amount of electronic data storage will increase by 44 times times to 35 trillion GB in 2009. According to IDC data, as of 2010, this number has reached 1.2 million PB, or 1.2ZB. If you put all this data into a DVD disc, the height of the disc will be the same as from Earth to the moon ...

The top two of the Superman-Hadoop start-up This is no longer a secret, global data is growing geometrically, with the wave of data growing rapidly around the world in a large number of hadoop start-ups. As an open source branch of Apache, Hadoop has almost become a surrogate for large data. Gartner estimates that the current market value of the Hadoop ecosystem is about 77,000,000, which the research company expects will increase rapidly to 813 million by 2016 ...

MongoDB and Cloudera, respectively, are heavyweight companies in the NoSQL and Hadoop markets. 　　Recently, two companies have proposed to share marketing and sales channels, claiming that there is only one purpose: to provide customers with large data solutions to eliminate customer concerns. MongoDB is a successful database supplier in the NoSQL market, and Cloudera is also a leading company in the Hadoop market, and two companies recognize that customers are still confused about big data, and if they can remove these concerns for customers, provide customers with a complete ...

Cady Wang (Wang Nanan) you want to know big data, but don't know the jerky terminology? Do you want to know the market and application of large data, but there are no good cases and explanations? 　　Don't worry, this little book from the Wikibon community wants to help you. 　　Yes, this is a small book rather than an article, because it is detailed and meticulous to let you from a completely do not understand the large data technology and related applications of the layman to become a familiar with its concept and meaning of the "inner pedestrian", so it is great! Translator Cady Wang Nanan spent a lot of effort to translate this small book, insufficient ...

There are many methods for processing and analyzing large data in the new methods of data processing and analysis, but most of them have some common characteristics. 　　That is, they use the advantages of hardware, using extended, parallel processing technology, the use of non-relational data storage to deal with unstructured and semi-structured data, and the use of advanced analysis and data visualization technology for large data to convey insights to end users. 　　Wikibon has identified three large data methods that will change the business analysis and data management markets. Hadoop Hadoop is a massive distribution of processing, storing, and analyzing ...

From the Internet to query about database data processing program, there are a lot of good blog, put forward a lot of solutions, so I also want to tidy up on this aspect of the content, if just put the summary copy of other people to this doesn't mean anything, 　　Even in the interview will often be asked how to deal with large data and high concurrency solutions, and also has a lot of repeated online content, an article copy to copy to go! A few of the Java Web projects now being done are big data, few, base ...

In today's big data age, if you don't know SAP HANA, it just means you're out. SAP Hana is a hardware and software combination, providing High-performance data query function, users can directly to a large number of real-time business data query and analysis, without the need for business data modeling, aggregation and so on. For some of the SAP Hana heard but not very understanding of customers, there will be a literal understanding of the misunderstanding, the following we will come together to analyze the top ten SAP HANA: 1, the role of the database platform wrong view: The number of memory ...

This problem is not difficult, but http://www.aliyun.com/zixun/aggregation/20522.html "> Test data (http://www.ntnu.edu.tw/acm/ProblemSetArchive /b_us_eastcen/1999/index.html) Very savage, there are several 1 million lines of test data. Initially did not notice the 2000 millisecond limit, the result of the first version of the program written a lot ...

As global corporate and personal data explode, data itself is replacing software and hardware as the next big "oil field" driving the information technology industry and the global economy. Compared with the fault-type information technology revolution such as PC and Web, the biggest difference of large data is that it is a revolution driven by "open source software". From giants such as IBM and Oracle to big data start-ups, the combination of open source software and big data has produced astonishing industrial subversion, and even VMware's past reliance on proprietary software has embraced big Open-source data ...