0
Data sparsity refers to a situation where the majority of entries in a dataset are empty or missing. This can make it difficult to analyze or make predictions based on the data, as there may not be enough information available. Data sparsity is a common challenge in machine learning and data analysis.
Add your answer:
Earn +20 pts
What is a repository for definitions of data processes data flows data stores and data elements.?
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.
What is metadata what is its use in data warehouse architecture?
Metadata is data about data that provides information such as the structure, format, and characteristics of the data stored in a data warehouse. It is used in data warehouse architecture to facilitate data integration, data governance, and data lineage. Metadata helps users understand and manage the data in the data warehouse efficiently.
What is explicit data and implicit data?
Explicit data is data that is clearly stated or defined, while implicit data is implied or hinted at. Explicit data is typically straightforward and directly provided, whereas implicit data requires context or interpretation to understand its meaning. In the context of programming, explicit data is data that is clearly declared and specified, while implicit data is data that is inferred or derived.
Is a logical unit of data and is a physical unit of data?
A logical unit of data is a virtual representation of data while a physical unit of data is the actual storage of data on a physical device. The logical unit of data is how data is organized and manipulated from a software perspective, while the physical unit of data is how data is stored on hardware such as disks or memory.
What are the Data staging steps in data warehousing?
Data staging in data warehousing involves steps like data extraction from source systems, data transformation to prepare it for analysis, and data loading into the data warehouse. This process ensures that data is cleansed, standardized, and organized before being stored in the data warehouse for reporting and analytics purposes.
What is the antonym of density?
Openness, sparsity, thinness,
What word is the opposite of plenty?
Deficiency Dearth Drought Exiguity Famine Inadequacy Infrequncy Insufficiency Lacking Paucity Rarity Scanty Shortage Sparseness Sparsity Stringency
What is the concept behind the Pareto Principle?
The concept behind the Pareto Principle, also known as the Pareto efficiency, is that for many events, 80 percent of the effects are the result of 20 percent of the causes. This is also known as the 80-20 rule, the law of the vital few or the principle of factor sparsity.
What is a repository for definitions of data processes data flows data stores and data elements.?
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.
What is master data metadata and run time data?
Metadata is data that is about data.?æ Although it describes the data, it's not considered business data. Master data is business data. Run-time data is data that is in the process of being run.
Another word simliar to storage?
Data Store Data Reserve Data Stow Data Warehouse Data Repository Data Depot Data Storehouse
Data formats and data collection?
Data formats: It is formating all data file from pcs.whatever it is not use.suppose when data is full,and some data we want to delete it.. Data collection: It is the collection of new data file.when new data is collecting..
Difference between meta data and data dictionary?
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.
What makes up meta data what kind of data makes up meta data?
Metada data is data that describes other data.
What is data cleaning in clinical data management?
Data cleaning is where the data may have missing data such as gender and the data manager has to go back to the source to find the data or data is incorrect and has to be corrected back at the source.
Is moving data the same as duplicating data?
No, Moving data is not same as duplicating data. When we copy data that causes duplication of data . And while moving we are just changing the storage location of data.To copy data is duplication, but to move data does not cause duplication.
Is data noun or verb?
a noun u can get data and use data but not do data
