Keine Custom Keywords

<p>To gauge the perceptions of end users on data quality (D)</p> Signup and view all the answers

<p>Identify and correct faulty data (D)</p> Signup and view all the answers

<p>To discover and analyze useful patterns from the web (A)</p> Signup and view all the answers

<p>Web structure mining (D)</p> Signup and view all the answers

<p>Provides ease of use via browser software (D)</p> Signup and view all the answers

<p>Establishing policies for managing data (B)</p> Signup and view all the answers

<p>User experience design (B)</p> Signup and view all the answers

<p>User interaction data recorded by web servers (C)</p> Signup and view all the answers

<p>Web server, database server, and application server (A)</p> Signup and view all the answers

<p>Web behavior mining (C)</p> Signup and view all the answers

<p>To store current and historical data for analysis and reporting (C)</p> Signup and view all the answers

<p>They focus on a specific line of business or subject. (C)</p> Signup and view all the answers

<p>It provides a framework for distributed processing of big data. (D)</p> Signup and view all the answers

<p>It minimizes retrieval delays by using main memory for storage. (C)</p> Signup and view all the answers

<p>They are optimized for both relational and non-relational tools. (C)</p> Signup and view all the answers

<p>A data mart focuses on a specific user group or subject matter. (C)</p> Signup and view all the answers

<p>Storing data across multiple computers. (C)</p> Signup and view all the answers

<p>Using tools to process and analyze large quantities of data. (A)</p> Signup and view all the answers

<p>To support multidimensional data analysis (B)</p> Signup and view all the answers

<p>Finding hidden patterns and relationships in datasets (A)</p> Signup and view all the answers

<p>To ensure consistency in relationships between tables (C)</p> Signup and view all the answers

<p>Clustering (B)</p> Signup and view all the answers

<p>Extracting elements from unstructured datasets (C)</p> Signup and view all the answers

<p>It documents the data model by illustrating relationships between entities. (D)</p> Signup and view all the answers

<p>Marketing Strategy (B)</p> Signup and view all the answers

<p>It contains repeating groups and lacks normalized structure. (B)</p> Signup and view all the answers

<p>It is split into multiple relations that reduce redundancy. (D)</p> Signup and view all the answers

<p>Future behaviors of customers (B)</p> Signup and view all the answers

<p>Greater flexibility in data modeling (D)</p> Signup and view all the answers

<p>Mining opinions from social media and blogs (C)</p> Signup and view all the answers

<p>By rapidly provisioning answers to ad hoc queries (A)</p> Signup and view all the answers

<p>Increased complexity of queries (B)</p> Signup and view all the answers

<p>Customer, Product, Order, Line Item (B)</p> Signup and view all the answers

<p>Concatenated values from two different fields (C)</p> Signup and view all the answers

<p>To create a subset of data that meets specific criteria (A)</p> Signup and view all the answers

<p>A unique identifier for each record in a table (A)</p> Signup and view all the answers

<p>It combines data from multiple tables into one result set (D)</p> Signup and view all the answers

<p>It references a primary key in another table (D)</p> Signup and view all the answers

<p>It selects specific columns from a table to create a new table (D)</p> Signup and view all the answers

<p>Two-dimensional tables made up of rows and columns (B)</p> Signup and view all the answers

<p>It must contain unique values for each record (B)</p> Signup and view all the answers

<p>Each entity must have at least one attribute (A)</p> Signup and view all the answers

A system that organizes data into two-dimensional tables with rows and columns.

A grid format where data is organized in rows (records) and columns (attributes).

A record in a database table representing a single instance of an entity.

An attribute in a table that defines a property of the entity.

A field in a table that uniquely identifies each record within that table.

A primary key from one table that is utilized in another table to link data.

A basic operation to create a subset of data that meets specific criteria.

A method to combine data from two or more tables in a database.

The accuracy and completeness of data in databases.

A structured review assessing data accuracy and completeness.

The process of correcting and formatting inaccurate or redundant data.

Duplicate or unnecessary data entries in a database.

Incorrect data entry due to human error or system issues.

Rules in RDBMS to ensure consistent relationships between tables.

Diagram showing relationships between entities in a database.

Framework describing how data is structured and managed in a system.

Table structure with repeating groups, leading to data redundancy.

Refined tables created from unnormalized relations to reduce redundancy.

Databases that allow flexible data storage without strict table structures.

Characteristics that define an entity in a database.

Process of creating structured layouts for storing data attributes.

Tools for analyzing vast data to aid business decisions.

Supports multidimensional data analysis for rapid queries.

Viewing data from various perspectives like product or region.

Finding hidden patterns in large datasets, like buying habits.

Includes associations, sequences, classifications, clustering, forecasting.

Extracting valuable information from large unstructured text datasets.

Detects opinions from unstructured data sources like social media.

Recurring sequences or relationships found during analysis.

Discovery and analysis of useful patterns from the web.

Mines the content of web pages for information.

Analyzes the links to and from a web page.

Mines user interaction data recorded by web servers.

Uses web servers and application servers to access databases.

Firm’s rules for sharing and managing data.

Policies for managing data availability, usability, and security.

The creation and maintenance of databases.

A system of tools for obtaining information from various data sources and big data.

A centralized repository that stores current and historical data from multiple operational systems.

A subset of data warehouse focused on a specific subject or user group.

A framework enabling distributed processing of big data across many computers.

Data processing technique using RAM for storage to speed up access and analysis.

High-speed platforms optimized for analyzing large datasets with various tools.

A data storage system used in Hadoop for managing large data sets.

A programming model in Hadoop that processes large data sets by breaking them into smaller clusters.