Graph Based Database

Graph data processing in the past has been the patent of data scientists, as the application of data has become more and more widely used, graph analysis becomes an essential part of the field of data analysis, people increasingly need to be easy to use, simple graph data analysis tools. Graphlab is a very popular open source project, Graphlab developers are constantly pursuing the innovation and development of graph computing, so that it can meet the requirements of mass data processing. Sframe's debut appears low-key and mysterious, but its function is not to be underestimated, it extends the graphlab to the table so that it can easily manage TB series ...

Figure http://www.aliyun.com/zixun/aggregation/14345.html "> Data processing in the past has been the patent of data scientists, as the application of data is more and more extensive, large data analysis has become an essential part of the field of data analysis, There is a growing need for easy access to simple graph data analysis tools. Graphlab is a very popular open source project, Graphlab developers are constantly pursuing the innovation and development of graph computing, so that it can cater to a large amount of ...

As a software developer or DBA, one of the essential tasks is to deal with databases, such as MS SQL Server, MySQL, Oracle, PostgreSQL, MongoDB, and so on. As we all know, MySQL is currently the most widely used and the best free open source database, in addition, there are some you do not know or useless but excellent open source database, such as PostgreSQL, MongoDB, HBase, Cassandra, Couchba ...

It was easy to choose a database two or three years ago. Well-funded companies will choose Oracle databases, and companies that use Microsoft products are usually SQL Server, while budget-less companies will choose MySQL. Now, however, the situation is much different. In the last two or three years, many companies have launched their own Open-source projects to store information. In many cases, these projects discard traditional relational database guidelines. Many people refer to these items as NoSQL, the abbreviation for "not only SQL." Although some NoSQL number ...

The intermediary transaction SEO diagnoses Taobao guest cloud host Technology Hall recently, the international famous source database manufacturer MySQL's China Research Center and the Tianjin Massive information Technology Limited Company signed the strategic agreement, the massive technology will achieve the MySQL biggest degree localization in China, seizes the Chinese open source database market to provide the formidable help. 　　Because MySQL is a very useful open source database software, its own superior speed, scalability and reliability makes it an indispensable database products. Since the MySQL database can be used in Li ...

Naresh Kumar, a software engineer and enthusiastic blogger, has great interest in programming and new things, and is happy to share technical research results with other developers and programmers. 　　Recently, Naresh wrote about 12 well-known free, open source NoSQL databases, and analyzed the characteristics of these databases. Now that the NoSQL database is becoming more and more popular, I'm here to summarize some of the great, free and open source NoSQL databases. In these databases, MongoDB the top, with considerable ...

There are two main ways to store data: Database and filesystem, and the object-oriented storage are developed behind, but the overall thing is to store both structured and unstructured data. DB is initially serviced for structured data storage and sharing. FileSystem storage and sharing is large files, unstructured data, such as pictures, documents, audio and video. With the increase in data volume, stand-alone storage can not meet the needs of structured and unstructured data, then in the era of cloud computing, there is a distributed ...

Michael Stonebraker is a pioneer in the field of databases. His deep expertise has also helped to develop some of the most popular database systems such as Postgres, Ingres and Vertica. One of his most recent studies is VoltDB, a memory-based OLTP (Online Transaction Processing) system, which he claims is two orders of magnitude faster than traditional solutions. However, Stonebraker's opinion has been controversial over the years, on the one hand being ...

December 2014 12-14th, hosted by the China Computer Society (CCF), CCF large data Expert committee, the Chinese Academy of Sciences and CSDN co-organizer of the 2014 China Large Data Technology conference (DA data Marvell Conference 2014,BDTC 2014 will be opened at Crowne Plaza Hotel, New Yunnan, Beijing. The three-day conference aims to promote the development of large data technology in the industry, and to set up "large data Infrastructure" and "large data ..."

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 ...