Nosql Real Time Analytics

NoSQL database is currently managing http://www.aliyun.com/zixun/aggregation/13584.html "> Mass data in Web applications and other systems. 　　In the future, the NoSQL system will adapt to real-time analysis, and become a part of enterprise-class NoSQL Data system integration work. Recently, executives from Oracle, MarkLogic and FOUNDATIONDB, as well as nosql-field companies, held nosq in San Jose, California ...

Splunk recently announced the launch of version 6.1 Hunk:splunk Analytics for Hadoop and NoSQL data Stores for Hadoop and NoSQL data Stores. Hunk 6.1 makes it quicker and easier to convert raw unstructured data from Hadoop and NoSQL data storage into business insights. Hunk's upgrade report significantly shortens reporting time, while interactive dashboards provide rich self-help analysis without the need to ...

Guide: Mike Loukides is the vice president of the content strategy of O ' Reilly Media, and he is very interested in programming languages and UNIX system management, with system configured tuning and UNIX power Tools. In this article, Mike Loukides put forward his insightful insights into nosql and thought deeply about all aspects of modern database architecture. In a conversation last year, Basho, CTO of the company, Justin Sheehy, recognized ...

The document database of NoSQL database technical characteristics Today's cloud computing practitioners are not unfamiliar with the term nosql, though many technicians have long been working on relational databases, but now they are looking forward to nosql technology. The transition from relational to NoSQL databases is definitely a big change to be considered for businesses. This involves not only the changes in software, but also the conceptual changes in data storage. Most non-relational databases have fast and scalable features. By discarding relational storage models and schemas, relationships ...

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 ...

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 ...

NoSQL how to deal with biomedical large data release time: 2012.05.31 12:24 from: Zhongguancun Author: The important characteristic of Shelanjing large data to be different from mass data is to deal with a lot of mixed structure data. In the biomedical field, there are many such data to be dealt with. Wang Yu, associate researcher of the Institute of Health Service and medical information of Military Academy of Medicine, shared the fourth session of China's cloud computing conference.

This time, we share the 13 most commonly used open source tools in the Hadoop ecosystem, including resource scheduling, stream computing, and various business-oriented scenarios. First, we look at resource management.

The recession of the global economic environment has a direct impact on the investment of IT system construction. However, Gartner believes that "major retardants to IT substituting would lift". As the global economy recovers in a broader context, there will be an increase of 2013 years. It spending will reach 3.7 trillion per cent, up 4.2% from 2012. This is an increase in the forecast of 3.8%, which shows optimism. In addition, global software spending is expected to drop to $296 billion trillion, an increase of 6.4%;

The recession of the global economic environment has a direct impact on the investment of IT system construction. However, Gartner believes that "major retardants to IT substituting would lift". As the global economy recovers in a broader context, there will be an increase of 2013 years. It spending will reach 3.7 trillion per cent, up 4.2% from 2012. This is an increase in the forecast of 3.8%, which shows optimism. In addition, global software spending is expected to drop to $296 billion trillion, an increase of 6.4%;