Certification Oracle Sql

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Database revelation: The difference between SQL Server and Oracle

With the rapid development of information technology, data processing is not only more and more demanding in quantity, but also higher in quality.   Oracle databases are widely used in most enterprises, and SQL Server databases are also widely used in the enterprise because of their connection to Windows. The stability of the operating system is critical to the database, where Oracle can operate on all major platforms, Oracle databases with open policy objectives, and enable customers to choose the one that best suits them ...

ERA billion letter Eetrust certification wall Technology white Paper

First, the user faces the risk at present, most application system mainly uses the traditional password authentication method to carry on the identity authentication. This kind of authentication way faces many attacks and the leakage risk, for example: The network eavesdropping (Sniffer), the authentication information interception/Replay (Record/replay), the virus, the hacker and so on, the traditional password authentication way already cannot satisfy the large-scale network application security authentication demand. 498) this.width=498 ' OnMouseWheel = ' javascript:return big (th ...

Database Security Policy

Database security Policy Database security issues have been around the database administrator's nightmare, the loss of database data and the database by illegal user intrusion makes the database administrator physically and mentally exhausted. This paper puts forward some security policies around the security of the database, hoping to help the database administrator, no longer nightmares every night. Database security issues should include two parts: first, the security of database data it should be able to ensure that when the database system downtime, when the database data storage media is corrupted and when the database user misoperation, database data ...

Coexistence of large data systems and relational data in the 2013

The big figures, which emerged in 2011 and soar in 2012, may change many aspects of data management in a dramatic way. Large data systems have brought about changes in the management and manipulation of computer data, continuous extraction, transformation and loading functions, operational business intelligence, dynamic large data, and cloud-based data warehouses. However, with large data entering the 2013, there is no system technology more active than the NoSQL database and Hadoop framework, it seems that these two products have more room for development. According to the marketanalysis ....

Cowboy Wang: The technical index that the industry website should have

Affirmation: The article is longer, if you are the industry webmaster please read carefully, welcome to join the industry webmaster QQ Group: 37466050 (using the invitation mechanism, add please specify the URL.) The rise of the industry web site has become an unstoppable trend in China's e-commerce development, according to a survey of 07 growth rate is expected to be close to 50%. For many industry websites, after a period of development, to seize the opportunity to win a certain market share.   At the same time, will face many new challenges, the market competition will become more and more fierce. Compared with the Internet companies that have VC support ...

Hortonworks improved spark and Hadoop comprehensive integration

Http://www.aliyun.com/zixun/aggregation/14112.html ">hortonworks's new code improved integration of Spark and Hive,   and plan for security and performance upgrades to the Spark memory analysis platform. The Apache Spark Memory analysis platform is now a hot technology in the field of large data analysis, and the Hadoop publisher Hortonworks recently decided to increase its commitment to spark. This week ...

"Book pick" large data development of the first knowledge of Hadoop

This paper is an excerpt from the book "The Authoritative Guide to Hadoop", published by Tsinghua University Press, which is the author of Tom White, the School of Data Science and engineering, East China Normal University. This book begins with the origins of Hadoop, and integrates theory and practice to introduce Hadoop as an ideal tool for high-performance processing of massive datasets. The book consists of 16 chapters, 3 appendices, covering topics including: Haddoop;mapreduce;hadoop Distributed file system; Hadoop I/O, MapReduce application Open ...

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