Where Are Databases Used

SaaS is generally considered to be a provider for the enterprise to build the information required for all network infrastructure and software, hardware operating platform, and responsible for all the implementation of the prophase, the maintenance of the latter series of services, enterprises do not need to buy hardware and software, building rooms, recruiting IT staff, can use the Internet Information systems 　　Just like opening a tap to water, an enterprise leases software services from a SaaS provider, depending on the actual needs. At present, many multinational information technology industry companies in the world are developing SaaS based products and services to provide a technology platform for the future development of the Internet.

MySQL has become one of the most widely used databases in the current network, especially in Web applications, which occupy the absolute advantage of small and medium applications. It all stems from its compact, safe, efficient, open licensing and multi-platform, and, more important, the perfect combination of--php with one of the three web languages. Unfortunately, a default installation of MySQL, because the root password is empty and the program vulnerabilities caused by the overflow, so that the installation of MySQL server is a frequent target. What is more serious is that the database is often destroyed after the attack, causing disaster easily ...

2008, http://www.aliyun.com/zixun/aggregation/1560.html ">facebook gave a gift to large data users. Social giants open source Cassandra--nosql large data distributed databases. 　　Today, with the advent of Cassandra 2.0, this gift is becoming more precious. Since 2008, under the direction of the Apache Software Foundation (ASF), Cassandr ...

For a lot of news at home and abroad, BBS and E-commerce sites are used asp+sql design, and write ASP programmers Many (there are a lot of just graduated), so, Asp+sql attack success rate is also relatively high. This kind of attack method has little to do with the NT version and the SQL version. There is no corresponding patch, because the loophole is caused by the programmer, and most of the book on ASP programming, the source code example has this flaw exists, in fact, just some legitimate ASP on the request of SQL, leaving endless trouble! A This attack method originated from ...

Although the "editor's note" has been available for 9 years, the popularity of Mongodb,hamsterdb is still lacking, and it has been rated as a Non-mainstream database. Hamsterdb is an open source key value type database. However, unlike other Nosql,hamsterdb, which are single-threaded and not distributed, they are designed to be more like a column store database, while also supporting acid transactions at the Read-committed isolation level. Then compare Leveldb,hamsterdb will have any advantage, here we go ...

2009 years of Cloud computing still continues its heat in the 2008, and it is not difficult to predict that the application running on the cloud (hereinafter referred to as cloud applications) is bound to be more and more, and that there will surely be a growing number of developers who have to consider or participate in the development of cloud applications. The essence of cloud computing is access to applications and services over the Internet, which are often not run on their own servers but are provided by third parties. For cloud developers, in cloud computing mode, while deploying applications without concern for infrastructure issues, it also brings new problems, such as opening ...

(Author Srini penchikala translator Dingxuefeng) for non-relational data types such as documents, object graphs, and key-value pairs, the NoSQL database provides them with an alternative way to store data. Can distributed caching be used as a NoSQL database? Ehcache's Greg Luck author describes the similarity between distributed caching and NoSQL databases. Infoq interviewed him and discussed the pros and cons of the scheme. InfoQ: Can you do a distributed caching solution with the NoSQL database ...

To use Hadoop, data consolidation is critical and hbase is widely used. In general, you need to transfer data from existing types of databases or data files to HBase for different scenario patterns. The common approach is to use the Put method in the HBase API, to use the HBase Bulk Load tool, and to use a custom mapreduce job. The book "HBase Administration Cookbook" has a detailed description of these three ways, by Imp ...

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 ...

The term "big data" usually refers to data that is dramatically multiplied by quantity, speed and type. 　　According to a new study by the Enterprise Strategy agency, the large data analysis platform is mimicking this definition: The number of vendor product releases is growing, product enhancements are rapidly doubling, and there are now multiple deployment options to support. Julie Lockner, a senior analyst at ESG and author of the firm's Big data analysis platform, says companies are considering how they can integrate large data technologies into their architecture, especially when it becomes affordable ...