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
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.
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 refers to the process of aggregating and combining data from multiple sources into a single, unified view. This helps in reducing data redundancy, improving data accuracy and enabling better analysis and decision-making. It is commonly used in databases, spreadsheets, and business intelligence systems.
To compare data from different sources.
Data consolidation means that you take data from various different sources and in different forms and make a summary of that in the form of one entity. You are consolidating data into x.
An IDoc (Intermediate Document) is a data format used by SAP systems to exchange information between different systems, such as SAP to non-SAP systems or between different SAP systems. It is structured and standardized, containing both the data and information about the data structure. IDocs are used for various purposes, including EDI (Electronic Data Interchange) with external partners or for integration between different SAP modules.
Four major types of data available to schools are demographic data (e.g. student enrollment), academic performance data (e.g. test scores), attendance data (e.g. student attendance rates), and behavior data (e.g. disciplinary incidents). Typical sources for these data include student information systems, state standardized testing programs, school attendance records, and behavior tracking systems.