A special database of cleansed data is a data dictionary . The relational database model is more flexible than the hierarchical and the network database models. The database administrator coordinates all related activities and needs for an organization s database.
What is a special database of cleansed data and meta data called?
meta-data. What describes contents of a data warehouse? data warehouse. What is a special database of cleansed data called? SKICAT .
What is the process of removing errors and inconsistencies from data?
Data cleaning, also called data cleansing or scrubbing , deals with detecting and removing errors and inconsistencies from data in order to improve the quality of data.
Which type of database model is similar to a hierarchical database?
The network structure database model has a very similar structure as compared to the hierarchical model. This model allows a many-to-many relationship in the tree-like structure model. It means there can be multiple parents. The network model uses the two fundamental concepts i.e. sets and records.
What describes contents of a data warehouse quizlet?
What describes contents of a data warehouse? A byte of data is the same as a character . Key fields are necessary so that records can be identified, retrieved and processed. The database administrator coordinates all related activities and needs for an organization’s database.
What are the steps of data cleaning?
- Step 1: Remove duplicate or irrelevant observations. Remove unwanted observations from your dataset, including duplicate observations or irrelevant observations. ...
- Step 2: Fix structural errors. ...
- Step 3: Filter unwanted outliers. ...
- Step 4: Handle missing data. ...
- Step 5: Validate and QA.
What makes manually cleaning data challenging?
What makes manually cleaning data challenging? Manually cleaning the data is challenging because you have to look through every data point individually and then correct any inconsistencies . Bar charts and histograms are only useful for looking at one column of data.
What is the first step should a data analyst take to clean their data?
How do you clean data? Step 1: Remove duplicate or irrelevant observations . Remove unwanted observations from your dataset, including duplicate observations or irrelevant observations. ... Step 4: Validate and QA.
What are the data issues in data cleaning?
- High Volume of Data: Table of Contents. ...
- Misspellings: Misspellings occur mostly due to typing error. ...
- Lexical Errors: ...
- Misfielded Value: ...
- Domain Format Errors: ...
- Irregularities: ...
- Missing Values: ...
- Contradiction:
Which of the following is data scrubbing?
Explanation: Data scrubbing, also called data cleansing , is the process of amending or removing data in a database that is incorrect, incomplete, improperly formatted, or duplicated.
What are 3 types of databases?
- Hierarchical databases.
- Network databases.
- Object-oriented databases.
- Relational databases.
- NoSQL databases.
What are the 5 types of databases?
- 1) Centralized Database. ...
- 2) Distributed Database. ...
- 3) Relational Database. ...
- 4) NoSQL Database. ...
- 5) Cloud Database. ...
- 6) Object-oriented Databases. ...
- 7) Hierarchical Databases. ...
- 8) Network Databases.
What are the 4 types of database?
- hierarchical database systems.
- network database systems.
- object-oriented database systems.
What describes the contents of a data warehouse?
A data warehouse is a relational database that is designed for query and analysis rather than for transaction processing. It usually contains historical data derived from transaction data , but it can include data from other sources.
What is 1 byte of data also called?
What is 1 byte of data also called? character . You just studied 41 terms!
Which kind of data warehouse is a subset that is created directly from a data warehouse?
The data mart is a subset of the data warehouse and is usually oriented to a specific business line or team. Whereas data warehouses have an enterprise-wide depth, the information in data marts pertains to a single department.
