Nosql News

"Editor's note" with support for the widely used JSON data interchange format, the emergence of a new version of the PostgreSQL open source database marks its goal of pointing to the growing NoSQL market for relational data storage, especially the mongodb of popularity. Now, Enterprisedb has launched a free turnkey development environment that will make it easy for programmers to build Web applications with PostgreSQL's new NoSQL features. The following is the original: Enterprise-class number of PostgreSQL ...

In the past few years, relational databases have been the only choice for data persistence, and data workers are considering only filtering in these traditional databases, such as SQL Server, Oracle, or MySQL. Even make some default choices, such as using. NET will typically choose SQL Server, and Java may be biased toward Oracle,ruby, Mysql,python is PostgreSQL or MySQL, and so on. The reason is simple: In the past a long time, the relational database is robust ...

This ranking is based on the DB engines list, which analyses 200 different databases on the market, listing top 10. The undisputed top 3 Oracle, MySQL, and Microsoft SQL Server have all along been occupying the first three of the rankings with an absolute advantage, carving out the largest number of users in the market with unique advantages. 1. Oracle 11g First release: 1980 Licensing mechanism: Proprietary SQL: Yes ...

February 25 News, according to foreign media reports, IBM will acquire NoSQL Cloud database service provider Cloudant, for its cloud services portfolio to add more strength. Cloudant is a private enterprise in Boston, offering a managed version of the Apache COUCHDB open-source software data store. The company's own version of the database software named "Bigcouch", can be run on multiple servers, for the foreground application to create and maintain a large number of data and fast data storage methods. Games, services, manufacturing, online ...

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 ...

How fast is the tide of big data? IDC estimated that the amount of data produced worldwide in 2006 was 0.18ZB (1zb=100), and this year the number has been upgraded to a magnitude of 1.8ZB, which corresponds to almost everyone in the world with more than 100 GB of hard drives. This growth is still accelerating and is expected to reach nearly 8ZB by 2015. The storage capacity of the IT system is far from adequate, let alone digging and analyzing it deeply. In this article, Baidu Chief scientist William Zhang, Teradata Principal customer Officer Zhou Junling, Yahoo!...

How fast is the tide of big data? IDC estimated that the amount of data produced worldwide in 2006 was 0.18ZB (1zb=100), and this year the number has been upgraded to a magnitude of 1.8ZB, which corresponds to almost everyone in the world with more than 100 GB of hard drives. This growth is still accelerating and is expected to reach nearly 8ZB by 2015. The storage capacity of the IT system is far from adequate, let alone digging and analyzing it deeply. In this article, Baidu Chief scientist William Zhang, Teradata Principal customer Officer Zhou Junling, Yahoo! North ...

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 ...

Although large data-related technologies, such as Hadoop, NoSQL databases, and memory analysis, are new to many people, it has to be acknowledged that these technologies have been used and developed more widely over the past year or two. How big is the big data? Jeff Kelly, an analyst at the Market Research institute Wikibon, said the 2012 Big data market was 11.4 billion trillion dollars and is expected to grow to $47 billion by 2017. Jeff Kelly worked for the TechTarget, and served as a multi-year newsletter ...

Although large data-related technologies, such as Hadoop, NoSQL databases, and memory analysis, are new to many people, it has to be acknowledged that these technologies have been used and developed more widely over the past year or two. How big is the big data? Jeff Kelly, an analyst at the Market Research institute Wikibon, said the 2012 Big data market was 11.4 billion trillion dollars and is expected to grow to $47 billion by 2017. Jeff Kelly worked for the TechTarget, and served as a multi-year newsletter ...