ترجمه مقاله نقش ضروری ارتباطات 6G با چشم انداز صنعت 4.0
- مبلغ: ۸۶,۰۰۰ تومان
ترجمه مقاله پایداری توسعه شهری، تعدیل ساختار صنعتی و کارایی کاربری زمین
- مبلغ: ۹۱,۰۰۰ تومان
Data management systems began by automating traditional tasks like recording transactions in business, science, and commerce. These systems have evolved over the time from the manual methods through the several stages of automated data management. The idea of relational model emerged with E.F.Codd’s 1970 paper [1] which made data modeling and application programming much easier than in the past. Beyond the intended benefits, the relational model was well-suited to client-server programming and have proved to be the predominant technology for storing structured data in web and business applications. Applications also evolve with time and pose challenging demands for the data management. As stated by Jim Gray [6], the most challenging part is to understand the data and find patterns, trends, anomalies and extract the relevant information. With the advent of Web 2.0 applications, the data stores needed to scale to OLTP/OLAP-style application loads where millions of users read and update, in contrast to the traditional data stores.