Querying Nosql Databases

Discover querying nosql databases, include the articles, news, trends, analysis and practical advice about querying nosql databases on alibabacloud.com

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Prospect of enterprise-class NoSQL

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 ...

MySQL or NoSQL: How to choose the database in the open source era

Open source data is divided into two factions, NoSQL enthusiasts like to publish a lengthy criticism of relational database limitations, MySQL enthusiasts stubbornly defend the health relational database-insist that the data neatly stored in the table.   You'd think the two sides would never get along, but in fact, tens of thousands of companies have been trying to combine relational and relational databases, and have tried it many years ago. But the development of new technologies is often antithetical to the technology of the past. When NoSQL developed, the name of the light sounded like ...

One to two years ahead of MongoDB. Build Enterprise-Class NoSQL database

Over the past few years, NoSQL database with its easy to expand, high-performance, high availability, data model flexibility and other features attracted a large number of emerging internet companies, including the domestic Taobao, Sina, Jingdong Mall, 360, Sogou, etc. have been in the local attempt to NoSQL solutions. Guangzhou giant FIR Database is a focus on the new NoSQL distributed database research and development of the start-up company, has now won the first round of angel investment, the core product is sequoiadb. The founding team members of the giant FIR database are from IBM North America Laboratories, and have long been engaged in the relational database D ...

Big data improvements for MySQL: Support for NoSQL and Hadoop

When it comes to big data, it has to do with Alibaba. The world's leading E-commerce enterprise, the amount of data processed every day is unmatched by any other company, it is also transforming into a real data company--mysql is an important weapon in the transformation of Alibaba.   A database architect who interviewed Ali, who believes Ali has the best performance of open source MySQL, beyond any relational database and NoSQL. In the 2009, Oracle acquired the copyright of MySQL by acquiring Sun, and the industry began to question the use of Oracle ...

Oracle Large Data sql: Implementing SQL, Hadoop, and NoSQL fusion

"How do you associate a user handle with a person in a database?" Neil Mendelson, vice president of Oracle's Big Data and senior analysis, raised such a question to reporters. This is a tricky problem for anyone who makes data analysis on social media, because you need access to data stored on multiple platforms. To address this issue, Oracle's latest SQL expansion scheme Oracle Large data SQL (http://www.aliyun.com/zixun/aggregation/...

Must read! Big Data: Hadoop, Business Analytics and more (2)

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 ...

Oracle to launch Oracle Big Data sql

BEIJING, July 22, 2014--companies are looking for innovative ways to manage as many data and data sources as possible. While technologies such as Hadoop and NoSQL provide specific ways to deal with large data problems, these technologies may introduce islands of data that can complicate data access and data analysis needed to form critical insights. In order to maximize the value of information and better handle large data, enterprises need to gradually change the data management architecture into a large data management system to seamlessly integrate various sources, all types of data, including Hadoop, relational databases, and nos ...

What is the difference between database integration and large data technology?

As two of the most popular technologies in the field of information management, the hardware architecture of database integration machine and large data technology is basically the same, but the software system has the essential difference, which leads to the different characteristic performance. With the rapid growth of enterprise data and the continuous improvement of users ' requirements for service level, the traditional relational database technology has shown obvious lack of ability in production practice for a long time. How to obtain high availability of massive data at reasonable cost has become a major challenge in modern it field. In order to meet this challenge, in recent years, it market ...

Notes:hadoop based Open source projects

Hadoop Here's my notes about introduction and some hints for Hadoop based open source projects. Hopenhagen it ' s useful to you. Management Tool ambari:a web-based Tool for provisioning, managing, and Mon ...

Data Analysis ≠hadoop+nosql, may wish to first look at perfecting the existing technology 10 shortcuts

It's really tempting to get business on big Data technology, and Apache Hadoop makes the temptation more violent. Hadoop is a large scale scalable data storage platform that forms the foundation of most large data projects. Hadoop is powerful, but it requires the company to invest a lot of learning energy and other resources. If you get the right application, Hadoop can actually improve your company's business, but the application of this hadoop is fraught with thorns. On the other side, many businesses (not Google, of course) ...

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