Oracle Table Compression Performance

"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 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, ...

In "2013 Zhongguancun Big Data Day" Big Data Wisdom City Forum, cloud Human Science and Technology CEO Wu Zhuhua brings to the theme "about intelligent city thinking-real-time large data processing opportunities and challenges" speech. He believes that the opportunities for large data in various industries are as follows: Financial securities (high-frequency transactions, quantitative transactions), telecommunications services (support systems, unified tents, business intelligence), Energy (Power plant power grid Monitoring, information collection and analysis of electricity), Internet and electricity business (user behavior analysis, commodity model analysis, credit analysis), other industries such as Intelligent city, Internet of things. Wu Zhuhua ...

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 ...

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 ...

After more than eight years of practice, from Taobao's collection business to today to support all of Alipay's core business, and in the annual "Double Eleven Singles Day" continue to create a world record for the transaction database peak processing capacity.

As we all know, Java in the processing of data is relatively large, loading into memory will inevitably lead to memory overflow, while in some http://www.aliyun.com/zixun/aggregation/14345.html "> 　　Data processing we have to deal with massive data, in doing data processing, our common means is decomposition, compression, parallel, temporary files and other methods; For example, we want to export data from a database, no matter what the database, to a file, usually Excel or ...

As the pioneer of the Internet finance field, founded at the end of 2009 Ali Small Loan development intention is to Taobao and Cat on the seller to provide microfinance business, to achieve "let the world No difficult business" goal. With the rich form of products, the expansion of service objects, small loan business growth quickly, on average annual growth rate of four to five times times.       After nearly 5 years of development, there have been more than 360,000 people from Ali small loan loans, the minimum loan amount of 1 yuan. With the traditional bank ...

Facebook, a world-renowned social networking site, has more than 300 million active users, of which about 30 million users update their status at least once a day; users upload a total of more than 1 billion photos and 10 million videos a month; Week to share 1 billion content, including journals, links, news, Weibo and so on. Therefore, the amount of data that Facebook needs to store and process is huge. Everyday, 4TB of compressed data is added, 135TB of data is scanned, and more than 7,500 Hive tasks are performed on the cluster.

Facebook, the world's leading social networking site, has more than 300 million active users, with about 30 million users updating their status at least once a month, with users uploading more than 1 billion photos and 10 million videos a week, and sharing 1 billion weekly content, including logs, links, news, tweets, etc. So the amount of data that Facebook needs to store and process is huge, adding 4TB of compressed data every day, scanning 135TB size data, performing hive tasks on the cluster more than 7,500 times per hour, and 80,000 times a week.