Survey on Data Warehouse from Traditional to Realtime and Society Impact of Real Time Data
نویسندگان
چکیده
منابع مشابه
From Traditional Data Warehouse To Real Time Data Warehouse
The Traditional data warehouse did not contain data as today. Hence, it is difficult to retrieve these data and treat them. Furthermore, its content is not updated, which may lead to bad decisions. Data are typically loaded from conventional operational systems. Given that today’s decisions, in the business world, are becoming more and more in real time. Thus, the system supporting these decisi...
متن کاملImprovement of the Analytical Queries Response Time in Real-Time Data Warehouse using Materialized Views Concatenation
A real-time data warehouse is a collection of recent and hierarchical data that is used for managers’ decision-making by creating online analytical queries. The volume of data collected from data sources and entered into the real-time data warehouse is constantly increasing. Moreover, as the volume of input data to the real time data warehouse increases, the interference between online loading ...
متن کاملReal Time Data Warehouse
Real Time Data Warehouse (RTDW) is a simulation of working of human brain. Every human brain consists of approximately one billion neurons which pass data in the shape of signals to each other via synaptic connections (about thousand trillion). The brain continuously receives sensory information; refresh its data repository and responds differently in different situations. The memory capacity o...
متن کاملReal-time workflow audit data integration into data warehouse systems
Workflow management systems are being increasingly used by many organizations to automate business processes and decrease costs. Audit trails from workflow management systems include significant amounts of information that can be used to analyze and monitor the performance of business processes in order to improve the efficiency. Traditional approaches for using workflow audit trail for decisio...
متن کاملA Solution to View Management to Build a Data Warehouse
Several techniques exist to select and materialize a proper set of data in a suitable structure that manage the queries submitted to the online analytical processing systems. These techniques are called view management techniques, which consist of three research areas: 1) view selection to materialize, 2) query processing and rewriting using the materialized views, and 3) maintaining materializ...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2019
ISSN: 0975-8887
DOI: 10.5120/ijca2019919463