Closed projects can be a huge source of data and learning. These sources can be used by students or other people who would like to do the same project. The data can be used to compare and contrast.
A repository is a centralized location where data and learning from closed projects are stored and managed. It can include documentation, code, and other artifacts to preserve and access project-related information for future reference or reuse.
A data dictionary is a repository that contains definitions of data processes, data flows, data stores, and data elements used in an organization. It helps to provide a common understanding of data terminologies and structures within a dataset or system. Data dictionaries are often used to maintain consistency and clarity in data management and analysis processes.
A database is a structured collection of data stored electronically, typically organized for easy search and retrieval. A repository is a central location in which data is stored and managed, often used to store and version control software code or documents. In essence, a database stores data in a structured format, while a repository can store various types of assets or information.
Metadata is data that provides information about other data, such as the structure, format, and relationships of data elements. A data dictionary, on the other hand, is a centralized repository that defines and describes the data elements within a database, including their definitions, attributes, and relationships. In summary, metadata is broader and encompasses various types of information about data, while a data dictionary specifically focuses on defining and documenting the data elements within a database.
Stakeholder interviews: Engaging with project stakeholders to gather information on project data needs. Data inventory: Documenting and categorizing all available data sources related to the project. Data analysis: Using analytical tools and techniques to extract relevant data from various sources. Data mapping: Creating visual representations of data flows, relationships, and dependencies within the project.
A datasource is a location or facility from which data is collected or stored in a systematic way for retrieval or analysis. It can be a database, a file, a service, or any other repository that provides data for use in applications.
Project Data Bank
Project Data Bank
A Business Intelligence project assumes to be integrated with Data Warehouse or other reporting solution like data repository or reporting from legacy systems. Practice shows very low successful implementation of BI project.
A data dictionary is a repository that contains definitions of data processes, data flows, data stores, and data elements used in an organization. It helps to provide a common understanding of data terminologies and structures within a dataset or system. Data dictionaries are often used to maintain consistency and clarity in data management and analysis processes.
Document data regarding supportability (Data Repository)
A repository is a collection of all data definition, data relationships and report formats, i,e; meta data of a database.
Data Dictionary Systems (Data Repository Systems) · Information Repository Systems · Application Development Environments · Communications Software Anonymous
Data Store Data Reserve Data Stow Data Warehouse Data Repository Data Depot Data Storehouse
yes
data lake is a system or repository of data stored in its natural/raw format, usually object blobs or files
a place where data or specimens are stored and maintained for future retrieval.
a database or a server