Advantages Of Using Relational Database

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Discard relational database PHP programmers should know five things about MongoDB

"51CTO exclusive feature" 2010 should be remembered, because the SQL will die in the year. This year's relational database is on the go, and this year developers find that they don't need long, laborious construction columns or tables to store data. 2010 will be the starting year for a document database. Although the momentum has been going on for years, now is the age when more and more extensive document databases appear. From cloud-based Amazon to Google, a number of open-source tools, along with the birth of Couchdb and MongoDB. So what ...

Non-relational distributed database: HBase

HBase is a distributed, column-oriented, open source database based on Google's article "Bigtable: A Distributed Storage System for Structured Data" by Fay Chang. Just as Bigtable takes advantage of the distributed data storage provided by Google's File System, HBase provides Bigtable-like capabilities over Hadoop. HBase Implements Bigtable Papers on Columns ...

Database research in cloud computing era

Introduction with the advent of the cloud computing era, various types of Internet applications are emerging, the relevant data model, distributed architecture, data storage and other database related technical indicators also put forward new requirements. Although the traditional relational database has occupied the unshakable position in the data storage, but because of its inherent limitation, has been unable to satisfy the cloud computing age to the data expansion, reads and writes the speed, the support capacity as well as the construction and the operation cost request. The era of cloud computing has put forward a new demand for database technology, which is mainly manifested in the following aspects. Mass data processing: to ...

Summarization of database encryption technology

The necessity of database encryption large database management system platform is typically Windows NT and Unix, these operating system security level is usually C1, C2 level. They have user registration, user identification, Arbitrary access control (DAC), audit and other security functions. Although the DBMS on the basis of the OS added a number of security measures, such as access control based on permissions, but the OS and DBMS on the database file itself is still lack of effective protection measures, experienced online hackers will "bypass", directly using the OS tools to steal or tamper with the database files ...

Newsql database manufacturer Nuggets industry Big Data

When it comes to big data, many people first think of internet companies, such as Google, Baidu and Alibaba. Internet companies in the large data analysis has indeed walked in the forefront of the industry, its aura also obscured the industry's big data shine. IDC defines big data with "4 V": volume represents greater capacity, produced represents a variety of data, velocity represents faster processing speed, and value means that large data can create more value. Tianjin Nanda General Data Technology Co., Ltd. (hereinafter referred to as the General) chief technical Officer Vounie said, such as ...

What are the advantages and disadvantages of Apache Cassandra database?

This article will go beyond the well-known details and explore the less obvious details related to Cassandra. You will examine the Cassandra http://www.aliyun.com/zixun/aggregation/14208.html "> Data model, storage mode design, architecture, and potential surprises associated with Cassandra." In the database history article "What Goes Around comes Around", Mi ...

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 ...

Interpreting the four families of NoSQL database

In the current enterprise IT architecture, system administrators and DBAs will consider using the NoSQL database to solve problems that the RDBMS cannot solve, especially the internet industry. Traditional relational databases store data mainly as tables (table), and cannot meet the challenge of unstructured data. In the process of data standardization, the performance of relational database is encountering bottleneck. NoSQL, as its name suggests, is Not-only SQL, which can be a good complement to relational databases. In the report before the TechTarget database, ...

Windows Azure uses relational data on the cloud

Windows http://www.aliyun.com/zixun/aggregation/13357.html ">azure cloud Computing brings new opportunities for database developers looking to build the next generation, cloud-connected applications. As a new cloud paradigm, Windows Azure provides applications with two core relational database technologies with transactional functional relational data storage. The first is the Windows Azure SQL database, and the second is the ...

South Big General CTO: Big Data Let the domestic database usher in spring

In the siege of large manufacturers such as Oracle, IBM and Microsoft, domestic database makers are still struggling to survive. This is an undeniable fact that the database market is close to saturation, especially in the face of the relationship between the transaction database field, foreign manufacturers start early, rich in resources, and also continue to encroach on the market segments, has formed a huge advantage. Faced with this situation, the South's general CTO Vounie that the domestic database manufacturers have missed the best time, should not take their own short board (OLTP) to go head-to-head, but should be in the direction of OLAP. Accompanied by large data ...

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