Oracle Array Data Type

Content Summary: The data disaster tolerance problem is the government, the enterprise and so on in the informationization construction process to be confronted with the important theory and the practical significance research topic. In order to realize the disaster tolerance, it is necessary to design and research the disaster-tolerant related technology, the requirement analysis of business system, the overall scheme design and system realization of disaster tolerance. 　　Based on the current situation of Xinjiang National Tax Service and the target of future disaster tolerance construction, this paper expounds the concept and technical essentials of disaster tolerance, focuses on the analysis of the business data processing of Xinjiang national tax, puts forward the concrete disaster-tolerant solution, and gives the test example. Key words: ...

Key drivers of large data growth include the dramatic growth of mobile devices and social networks, the digitization of paper-based documents and the growth of scientific data. 　　"Their archive files are growing at a high speed because they don't know what needs to be saved and which don't need to be saved," said Rob Peglar, US chief technology officer at EMC's Isilon company. Companies in various industries are investing a lot of money in big data analysis. One industry is the medical industry that analyzes patient data for diagnosis and treatment. Peglar said that in the financial services industry, data are qualitatively ...

In 2017, the double eleven refreshed the record again. The transaction created a peak of 325,000 pens/second and a peak payment of 256,000 pens/second. Such transactions and payment records will form a real-time order feed data stream, which will be imported into the active service system of the data operation platform.

Most enterprise IT executives and data storage professionals do not perform large data analysis deployment plans in their organizations, according to a new data storage survey by market research firm Theinfopro. 56% of respondents said they had no plans to deploy large data analysis applications even by 2013. Of the 255 respondents, half of the respondents were data storage professionals, and the other half were IT managers, corporate vice presidents and CIOs. Those who do not plan to perform Hadoop or other large data analysis software are subject to ...

Since 2012, large numbers have become a word from a concept and become more noticeable as time goes by, and by the year 2014, big data is clearly the star of attention in the IT circle. The "4 V", summarized by the renowned research institute IDC, can well define large data concepts, 4V respectively capacity, type, speed, and value (volume, produced, velocity, and values). 　　Large data is a new technical framework for acquiring value from large capacity data through high-speed capture, discovery and analysis. Each line ...

Today, some of the most successful companies gain a strong business advantage by capturing, analyzing, and leveraging a large variety of "big data" that is fast moving. This article describes three usage models that can help you implement a flexible, efficient, large data infrastructure to gain a competitive advantage in your business. This article also describes Intel's many innovations in chips, systems, and software to help you deploy these and other large data solutions with optimal performance, cost, and energy efficiency. Big Data opportunities People often compare big data to tsunamis. Currently, the global 5 billion mobile phone users and nearly 1 billion of Facebo ...

The storage system is the core infrastructure of the IT environment in the data center, and it is the final carrier of data access. Storage in cloud computing, virtualization, large data and other related technologies have undergone a huge change, block storage, file storage, object storage support for a variety of data types of reading; Centralized storage is no longer the mainstream storage architecture of data center, storage access of massive data, need extensibility, 　　Highly scalable distributed storage architecture. In the new IT development process, data center construction has entered the era of cloud computing, enterprise IT storage environment can not be simple ...

What do you want in a storage solution? 　　Do you want to get high performance, reliability, special workload optimization, scalability, low energy consumption or lower start price? Your favorite storage vendor will give you a solution for each of your needs. From centralized management to automation to innovative technology, storage is no longer the age-old topic of yawning. Storage is already one of the hottest data center topics. Virtualization, Private cloud, and disk-based backup have kept the storage world in contention, and the topic of storage has been the focus of attention. Storage space than "Dilith ...

The most sexy it technology at the moment is undoubtedly big data. 　　Today, the big data has even become the Chi of white hair, at least some of the taxi drivers met to Kan for half a day, so it is also logical to think that all do not need large data thinking business development enterprises are bullying, you can not have large data items, but you should be in the preparation of data on the road. But wait a minute, even if companies don't want to bullying, big data is not meant to be on the table – it often means new IT spending because traditional systems can't handle it. Only the ideal of enterprise fullness, is the most profit ...

Author: Andrew Nusca,robert hackett,shalene Gupta Translator: Pak From: Wealth Chinese network large data not only to deal with a lot of numbers, but also to build models through these numbers, dig deeper, and look for those who are likely to change the way the business operation of information. I would like to introduce you to the top 20 large data fields. Pinterest data scientist Andrea Berbink Pinterest is a picture-oriented social ...