Social Media Database Schema

Storing them is a good choice when you need to work with a lot of data. An incredible discovery or future prediction will not come from unused data. Big data is a complex monster. Writing complex MapReduce programs in the Java programming language takes a lot of time, good resources and expertise, which is what most businesses don't have. 　　This is why building a database with tools such as Hive on Hadoop can be a powerful solution. Peter J Jamack is a ...

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 ...

Social media, E-commerce, mobile communications, and machine-machine data exchange make terabytes or even petabytes of data that the enterprise IT department must store and process.   Mastering fragmentation best practices is a very important step in the cloud planning process when users process data for cloud computing databases. Fragmentation is the process of splitting a table into a manageable size disk file. Some highly resilient key-value data stores, such as Amazon simple DB, Google App engine ...

While technology like http://www.aliyun.com/zixun/aggregation/13461.html ">mongodb,mapreduce" is seen as a hallmark of innovation, companies rely on sophisticated technologies such as SQL. 　　Mining important business models from these data becomes very difficult when the enterprise needs to collect more data formats, especially when new formats are not supported by SQL. When faced with such a problem, the market ...

Two days ago, someone asked questions on Weibo, in what way to tell the big data and cloud computing can not be heard by professionals more clearly, in fact, there are many cases of large data, business intelligence analysis has repeatedly mentioned the value and significance of data mining, but today to see more data than before, big data is not terrible, The scary thing is that his real-time analytics will expose flaws and truth to people, so when cloud computing encounters big data and a brain pours into companies, can companies manage? The so-called large data mainly covers 3V-oriented, respectively, the Treatment of aging (Veloci ...

Today, some of the most successful companies gain a strong business advantage by capturing, analyzing, and leveraging a large variety of "big data" that is fast moving. This article describes three usage models that can help you implement a flexible, efficient, large data infrastructure to gain a competitive advantage in your business. This article also describes Intel's many innovations in chips, systems, and software to help you deploy these and other large data solutions with optimal performance, cost, and energy efficiency. Big Data opportunities People often compare big data to tsunamis. Currently, the global 5 billion mobile phone users and nearly 1 billion of Facebo ...

With the explosion of information, micro-blogging website Twitter was born. It is no exaggeration to describe Twitter's growth with the word "born". Twitter has grown from 0 to 66,000 since May 2006, when the number of Twitter users rose to 1.5 in December 2007. Another year, December 2008, Twitter's number of users reached 5 million. [1] The success of Twitter is a prerequisite for the ability to provide services to tens of millions of users at the same time and to deliver services faster. [2,3,4 ...

Forbes: hadoop--Big Data tools you have to understand now Apache Hadoop has become the driving force behind the development of the big data industry. Techniques such as hive and pig are often mentioned, but they all have functions and why they need strange names (such as Oozie,zookeeper, Flume). Hadoop has brought in cheap processing of large data (large data volumes are usually 10-100GB or more, with a variety of data types, including structured, unstructured, etc.) capabilities. But this is the same as before ...

Big data may be the most hot word in the tech world and VC circles. It seems that internet companies, even traditional industry companies, that don't have much of a big data connection have no future. is a hot word, there must be a bubble. Under the bubble, some companies that are really creating and digging into big data values, especially startups, are not known. There are companies that may still be in stealth mode, and they are now busy finishing the final finishing touches that will make it possible to change the rules of the game. Many of these big data startups ' teams come from Google ...

Big data may be the most hot word in the tech world and VC circles. It seems that internet companies, even traditional industry companies, that don't have much of a big data connection have no future. is a hot word, there must be a bubble. Under the bubble, some companies that are really creating and digging into big data values, especially startups, are not known. There are companies that may still be in stealth mode, and they are now busy finishing the final finishing touches that will make it possible to change the rules of the game. Many of these big data startups ' teams come from Google ...