Convert Relational Database To Nosql

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Beyond Tradition: NoSQL database competition to help you choose a database easily

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 ...

MySQL to NoSQL: Re-thinking of data and transformation of query mode

Moving from a relational database to a NoSQL database-for example, from MySQL to couchbase-you need to rethink your data. As for why Couchbase rather than http://www.aliyun.com/zixun/aggregation/13461.html ">mongodb what, because Bowen's author MC Brown is the current vice president of Couchbase, so you know, and this Couchbase blog ...

MySQL to NoSQL: Re-thinking of data and transformation of query mode

Moving from a relational database to a NoSQL database-for example, from MySQL to couchbase-you need to rethink your data. As for why Couchbase rather than MongoDB, because the author of Bowen Brown is currently vice president of Couchbase, so you know, and this Couchbase blog also relates to the impact of the query after the migration. If you have a database built on MySQL, you may want to consider the need and more important ...

What is a column-oriented open source distributed database HBase-products and Technologies

What is a column-oriented open source distributed database HBase release time: 2012.04.16 14:41 Source: News and Author: HBase is a distributed, column-oriented open source database, developed by the Apache Foundation. Unlike a generic relational database, HBase is a database suitable for unstructured data storage. It is based on a column rather than a row based pattern. User stores data ...

A word about the Hadoop family product

The use of Hadoop has been going on for some time, from the beginning of confusion, to various attempts, to the current combination of .... Slowly involved in data processing things, has been inseparable from Hadoop. The success of Hadoop in large data fields has led to its own accelerated development.   Now the Hadoop family product, has already reached 20 many. It is necessary to do a collation of their knowledge, the product and technology are strung together.   Not only can deepen the impression, but also to the future technology direction, technical selection to do the groundwork. A word product introduction: ...

2014 worth of attention 10 Hadoop large data processing companies

Open source Large data frame Apache Hadoop has become a fact standard for large data processing, but it is also almost synonymous with large numbers, although this is somewhat biased.   According to Gartner, the current market for Hadoop ecosystems is around $77 million trillion, which will grow rapidly to $813 million in 2016. But it's not easy to swim in the fast-growing blue sea of Hadoop, it's hard to develop large data infrastructure technology products, and it's hard to sell, specifically ...

2014 10 Big Hadoop data startups worth watching

Open source Large data frame Apache Hadoop has become a fact standard for large data processing, but it is also almost synonymous with large numbers, although this is somewhat biased. According to Gartner, the current market for Hadoop ecosystems is around $77 million trillion, which will grow rapidly to $813 million in 2016. But it's not easy to swim in the fast-growing blue sea of Hadoop, not only is it hard to develop large data infrastructure technology products, but it's hard to sell, particularly to big data infrastructures ...

2014 10 Big Hadoop data startups worth watching

Open source Large data frame Apache Hadoop has become a fact standard for large data processing, but it is also almost synonymous with large numbers, although this is somewhat biased. According to Gartner, the current market for Hadoop ecosystems is around $77 million trillion, which will grow rapidly to $813 million in 2016. But it's not easy to swim in the fast-growing blue sea of Hadoop, not only is it hard to develop large data infrastructure technology products, but it's hard to sell, particularly to big data infrastructures ...

Open source cracked Big data dilemma Hadoop not the only option

Once upon a time, social networks were growing quietly and becoming an integral part of people's work and life. Facebook is a typical representative of social networking today. Facebook, the leader of social networking sites, was initially designed to facilitate communication between college dormitories and later developed into a social network of more than 900 million users and ranked first in the world. According to IDC, 1 million new links are shared every 20 minutes on Facebook and 10 million user reviews are released. Facebook base ...

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