Row To Column In Oracle

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An in-depth interpretation of Oracle Exadata Technology

"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 ...

How to integrate with Oracle virtual private database

Oracle Virtual http://www.aliyun.com/zixun/aggregation/33969.html >private Database   Hereinafter referred to as VPD) is a security feature provided in Oracle database products that guarantees the multi-tenant nature of Oracle databases while helping users with database consolidation. Oracle VPD can target database tables and views, ...

HP and Oracle compete in massive data services

June 20 HP released Vertica Analytics Platform version 5.0, the latest edition will be combined with HP's own hardware products. HP acquired Vertica earlier this year, which will help HP play a key role in the growing number of data markets. Vertica is based on column storage. The design based on column storage has great advantage over traditional row-oriented storage database. At the same time Vertica support MPP (massively parallel processin ...

Detailed Hadoop core architecture

Through the introduction of the core Distributed File System HDFS, MapReduce processing process of the Hadoop distributed computing platform, as well as the Data Warehouse tool hive and the distributed database HBase, it covers all the technical cores of the Hadoop distributed platform. Through this stage research summary, from the internal mechanism angle detailed analysis, HDFS, MapReduce, Hbase, Hive is how to run, as well as based on the Hadoop Data Warehouse construction and the distributed database interior concrete realization. If there are deficiencies, follow-up ...

Detailed Hadoop core Architecture hdfs+mapreduce+hbase+hive

Through the introduction of the core Distributed File System HDFS, MapReduce processing process of the Hadoop distributed computing platform, as well as the Data Warehouse tool hive and the distributed database HBase, it covers all the technical cores of the Hadoop distributed platform. Through this stage research summary, from the internal mechanism angle detailed analysis, HDFS, MapReduce, Hbase, Hive is how to run, as well as based on the Hadoop Data Warehouse construction and the distributed database interior concrete realization. If there are deficiencies, follow-up and ...

Recent advances in SQL on Hadoop and 7 related technology sharing

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, ...

Sybase China technical director Lu Dongming: Database challenges in the big data age

Recently, in the Sybase IQ 15.4 Media activities, CSDN United several technical media jointly interviewed Sybase China technical director Lu Dongming. Lu Dongming shared views on the impact of large data on traditional database vendors, the comparison of column-and row-style databases, and other hot topics. Sybase China technical director Ludoming Ludomin first introduced SAP's 5 major database products: Sybase re-use Server enterprise abbreviation ASE (line database) Sy ...

Layout Big data controversy over the world's Top 14 data makers

The concept of large data, for domestic enterprises may be slightly unfamiliar, the mainland is currently engaged in this area of small enterprises. But in foreign countries, big data is seen by technology companies as another big business opportunity after cloud computing, with a large number of well-known companies, including Microsoft, Google, Amazon and Microsoft, that have nuggets in the market. In addition, many start-ups are also starting to join the big-data gold rush, an area that has become a real Red sea. In this paper, the author of the world today in the large data field of the most powerful enterprises, some of them are computers or the Internet field of the Giants, there are ...

Whether the domestic database can burden in large data age

The development of the big data industry has been included in the National Development plan, and in 2014, "Big Data" first appeared in this year's "Government work Report".   "Government work Report" pointed out that to set up new industries entrepreneurial innovation platform, in large data and other aspects of overtaking advanced, leading the future industrial development. Large data construction is inseparable from high-performance database software, unfortunately, the current database market in China, Oracle [micro-BO], ibm[Micro-BO] as the representative of the foreign database software is still in the dominant position, a lot of database software for the government procurement is still accustomed to using foreign products, ...

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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