Using In Oracle Query

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 ...

Oracle has released Oracle exalytics Business Intelligence Cloud Server T5-8 (Oracle Exalytics as Machine t5-8), which is an integrated system in Oracle SPARC T5-8 on the basis of the server has made significant breakthrough progress. 　　Each system's memory is 4TB, can give business intelligence and enterprise performance management application software extremely high performance. Paul Rodwick, vice president of Oracle Product Management, said, "only that ...

BEIJING, February 19, 2014--the explosive growth of cloud, mobile and social technologies is driving businesses faster, easier access to innovative and trusted business applications. To meet these needs, Oracle launched Oracle Cloud Marketplace at Oracle's global Congress in 2013. Oracle has recently announced that DocuSign and Badgeville two companies are using Oracle cloud platforms as services to create new business applications and Cloud Marketplac in Oracle ...

"IT168 Technical Documentation" Since Oracle and HP launched Exadata, I have been very concerned about this product, and previously wrote an Oracle database machine introduced it. 　　Last year, Oracle and Sun merged to launch Oracle Exadata V2, which has several changes compared to previous generations: first, using sun hardware; second, it claims to support OLTP applications; third, Oracle 11g R2 offers more new features. Exadata S ...

The use of large data has been far less than the ability to collect large data, the main reason is that the current enterprise data mainly dispersed in different systems or organizations, the key to the big data strategy is to be able to more in-depth, richer mining all the data system of valuable information, so more accurate prediction of customer behavior, find business value, 　　However, it is difficult to move this data to a separate data store, and security and regulatory issues are not guaranteed, Oracle Big Data SQL launched to solve the current challenges. The following is a translation:

Basic query: View plain-Query All employees ' information select * from EMP;   --Set the line wide set Linesize 120; --set width of four digits col empno&nbs ...

Htsql an advanced query language and Web Services gateway for http://www.aliyun.com/zixun/aggregation/22.html "> Relational Databases" based on URIs. It encapsulates database access using the WEB service layer and converts HTTP requests to SQL commands and returns query results, in HTML or JSON format. It is equipped with open source database system, such as Mysql,postgresql,sqlite ...

Htsql 2.2 rc #1该版本添加了覆盖数据库目录元数据的能力, add table/column/link name Editor auto-complete and add Django integration. Htsql a URI based http://www.aliyun.com/zixun/aggregation/22.html "> relational database of advanced query language, but also a Web service gateway." It is open source, uses the Web service layer to encapsulate database access, and will ...

The greatest fascination with large data is the new business value that comes from technical analysis and excavation. SQL on Hadoop is a critical direction. CSDN Cloud specifically invited Liang to write this article, to the 7 of the latest technology to do in-depth elaboration. The article is longer, but I believe there must be a harvest. December 5, 2013-6th, "application-driven architecture and technology" as the theme of the seventh session of China Large Data technology conference (DA data Marvell Conference 2013,BDTC 2013) before the meeting, ...

The database server is actually the foundation of every electronic transaction, financial and enterprise resource Planning (ERP) system, and it often includes sensitive information from business partners and customers. Although the data integrity and security of these systems are important, the level of security checks taken against the database is not as high as the security measures of the operating system and the network. Many factors can disrupt data integrity and lead to illegal access, including complexity, poor password security, misconfigured, undetected system backdoor, and mandatory routine use of adaptive database security methods ...