You can use a data processing software to help you realize this. esProc is a good choice. Because it can access data in databases or files which are not stored in databases like Excel and Txt. Besides, it can access data that stored in some old systems or systems without common interface. What's more, esProc offers JDBC interface, enabling it to be called by outside application.
Data Sources (ODBC)
it minimizes sources of bias in the data
Data Dictionary Systems (Data Repository Systems) · Information Repository Systems · Application Development Environments · Communications Software Anonymous
An interface is a point where two systems meet and interact with each other. It allows for the exchange of information and data between systems. An interface can facilitate communication and integration between different systems to achieve specific functionalities.
test data, field data, and comparable systems
test data, field data, and comparable systems
Redundancy means duplicacy of data or repetitive data. In distributed database case the data is stored in different systems . So the answers is yes there can be redundancy of records / data.In distributed database , data is stored in different systems. Since the data is distributed there is redundancy of records.
Data sensing is the process of collecting information from various sources, such as sensors, devices, or systems. It involves capturing data in real-time or at scheduled intervals to monitor and analyze different variables. This data can be used for decision-making, optimizing processes, or gaining insights into patterns and trends.
Some common problems encountered in gathering data include incomplete or inconsistent data sources, missing or inaccurate data, lack of access to necessary data, and difficulties in data integration across different systems or formats. Additionally, privacy concerns and ensuring data security are important considerations in data collection processes.
Data consolidation simply means collecting and integrating data from two or more different sources to provide a single, consolidated data source, in order to reduce inefficiencies such as data duplication and making it easier to present data without the overhead of multiple data resources and the costs incurred in managing separate data sources.
To compare data from different sources.
Two sources may not be coherent because they present conflicting information, have different perspectives or biases, or rely on inaccurate or outdated data. Differences in research methodologies, sources of data, or interpretations may also contribute to lack of coherence between sources.