Alternatives To Relational Databases

NoSQL: How developers respond to big data release time: 2012.04.16 14:15 Source: Developer Author: Developer Current Large data is the hottest trend in the field of High-performance computing. Large data processing is characterized by: we need real-time collection, analysis, transmission of massive information, data set to PB or even ZB (1 million PB) as a unit, the large number of developers to bring new challenges, talked about large data, on ...

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) ...

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) ...

Big data technology is indeed a very attractive business for businesses, and Hadoop is a massive scalable data storage platform that forms the basis of most big data projects. The advent of Apache Hadoop makes this temptation more attractive. Hadoop is powerful, but not touching, requiring companies to invest a lot of learning and other resources. Hadoop does radically improve your company's business if it is properly implemented, but the road to this Hadoop application is full of thorns. on the other hand...

When application portability issues arise, the interests of the enterprise and cloud computing providers collide. Enterprise organizations want to seamlessly run their applications on the premise of an enterprise's internal it, private cloud and platform-Service (PaaS) and software-Services (SaaS) public cloud. Portability applications give users the flexibility to do this-and move to different vendors-but suppliers are not rushing to send business to their competitors, said Dan Cornell, chairman of Denim group in San Antonio. These implement the portability of the application ...

Big data started to emerge in 2011, and in 2012 it has skyrocketed, and one day it may change all aspects of data management in a dramatic way. Big data systems bring visible changes in managing and manipulating computer data, continuous abstraction, transformation and loading capabilities, operational BI, dynamic big data and cloud-based data warehousing. However, as big data enters 2013, there is no system technology that is more active than the NoSQL database and the Hadoop framework, and it looks like the two products have bigger haircuts ...

As companies begin to leverage cloud computing and large data technologies, they should now consider how to use these tools in conjunction. In this case, the enterprise will achieve the best analytical processing capabilities, while leveraging the private cloud's fast elasticity (rapid elasticity) and single lease features. 　　How to collaborate utility and implement deployment is the problem that this article hopes to solve. Some basic knowledge first is OpenStack. As the most popular open source cloud version, it includes controllers, computing (Nova), Storage (Swift), message team ...

In the current Internet world, large data and cloud computing have become recognized as one of the mainstream technologies, however, the direct relationship between the two has always attracted the attention of the industry, the cloud provides the infrastructure for large data, large data needs a flexible computing environment, and the latter can quickly and automatically expand to support massive data. 　　The infrastructure cloud can deliver these requirements precisely. When referring to cloud security policies in large data use cases, we hope that any security solution will provide the same flexibility as the cloud without impacting deployment security. But flexibility and security ...

In the big data age, how does cloud security define, what the cloud security content includes, I believe many people can understand, and from the interaction between large data and cloud computing, only the most stringent security standards for data, large data can continue to enjoy the cloud provided by the scalability, flexibility and automation, 　　This is also the big data to maintain long-term development important impetus. In the current Internet domain, cloud computing and big data can be described as the hottest two technologies, but what is the connection between them? Cloud Computing provides the infrastructure for large data, large numbers ...

Kelley Blue Book is a senior supplier that provides vehicle price information to consumers, car dealers, government and the financial insurance industry. Companies to use Microsoft. NET Framework 3.5 has developed information-rich, highly-transmitted web sites, supported by 2 hosted data centers. To save on managed spending and simplify infrastructure management, Kelley Blue book decided to host and manage its web site via Software + service mode, and the company implemented the Windows Azure™ platform-it provides a straight ...