data management industry

practice, has been aerospace, automotive manufacturing, weapons industry, marine, energy and environmental protection, communications and electronics, and many other areas of the most important IT service partners, customers in various industries in China, service customers up to 500 +. The company always pursues the customer first service concept, with many years of project experience and technical advantages, dedicated to provide users with profess

In the big data era, Oracle helps enterprises move towards precise management to improve business value Wu Chengyang, vice president of Oracle and General Manager of the Greater China technology product department, talked about how enterprises can use big data to help them achieve precise management. Enterprises need

With the rapid development of financial industry in recent years, the demand for information storage and processing ability is more and more high. Various services in the financial industry depend on the management and analysis of information. As a platform to support information application, data center will play a mo

statistics and query, data utilization is high, easy to carry out performance evaluation and other work. The Condor? File Acquisition Tool software service-side timing automatic acquisition of data files to the business system, based on the. NET Framework platform development, support one-click installation, easy to operate; remote-based data transmission mechan

At present, the telecom, finance, retail and other industries want to use big data analysis means to help themselves make rational decisions. In particular, the telecommunications and financial industry performance is particularly prominent, market data can not be connected with user consumption data. The first problem

, for the individual developer, Efficiency is usually seemingly non-rising, as developers need to look carefully at the existing system of standard fields, data dictionaries, data types, system parameters, error numbers, etc., while deciding to add or modify existing api api need to be applied and audited to be validated into the system's meta data and api api im

PostScriptLaxcus originally originated from a failed search engine project, the project ended, but some of the technology in the project, including the FIXP protocol, Diffuse/converge algorithm, and many new data processing concepts have been preserved, which became the basis for the development of Laxcus later. After a number of large-scale data processing projects, because the times and

question: As databases grow larger, the challenges to performance and management are growing. Each query may need to find more data pages, especially if the query has a scan operation, which can cause the query to become more and more slow. At the same time, there will be more and more data to be backed up and backup operations continue to grow longer. Backup f

Quantification: Enterprise Management in the big data ageBasic InformationOriginal Title: metrics: how to improve key business resultsAuthor: (US) Martin klubeck [Translator's introduction]Translator: Wu HaixingPress: People's post and telecommunications PressISBN: 9787115299611Mounting time:Published on: February 1, January 2013Start: 16Page number: 1Version: 1-1Category: Computer> database storage and

Currently, with the application and rise of various big data technologies in the data center industry, the data volume is growing in a spurt and the availability requirements of users for Data Center businesses are also putting forward new demands and changes. In this contex

The "general dictionary data Configuration Management" in the framework mainly solves the problem that all industry software provides customers with the first step of basic data maintenance, and a system dictionary is indispensable, the wider the scope of the business involved, the more dictionaries. If every Dictionar

high data privacy requirements, especially for some of the new features not yet online, information privatization, custom service is the first requirement for some enterprises to do third-party testing, so, Baidu MTC developed an enterprise version of the private cloud solution, through the original localization mobile app testing, For the enterprise quickly set up an intranet real machine Automation test laboratory, to achieve the test

warehouse tools needed to complete data extraction, transformation and loading, OLAP analysis and data mining. As shown in the following figure, its typical structure consists of the operating environment layer, the Data Warehouse layer and the business layer. The first layer (operating environment layer) refers to the OLTP system and some external

encountered during management. In a typical heterogeneous network, many workstations and file servers communicate with each other through the Message Block (SMB) protocol. If Microsoft deploys SMB-related security patch updates, it may affect Linux servers connected to Windows servers with updated patches through Samba. Simply put, data center employees may only concern about Windows, but do not consider t

Docker Data Management There are two main ways of managing data in a container: data volume and data volume container To mount a local directory or file in a data volume within a container A