PDF 1
DA0-002 Starter Glossary
Twelve concise terms selected across all five study domains.
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Starter Glossary + Objectives Overview
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12 starter terms
5 domain summaries
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PDF 2
DA0-002 Objectives Overview
An original five-domain study map with topic prompts and published weights.
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12-Term Starter Glossary
Structured data
Data organized according to a consistent model, such as named columns with defined data types.
Data lake
A scalable repository that can retain large amounts of raw data in multiple formats for later processing.
Data warehouse
A curated analytical store that organizes integrated, historical data for reporting and analysis.
Data profiling
The examination of a dataset's values, patterns, types, and quality before it is transformed or analyzed.
Deduplication
The process of identifying and resolving repeated records that represent the same entity or event.
Imputation
A method of replacing missing values with reasonable estimates based on a defined rule or model.
Median
The middle value after observations are placed in order; it is less affected by extreme values than the mean.
Correlation
A measure describing the direction and strength of an association between two variables.
Dashboard
A consolidated visual display of selected metrics and information used to monitor performance or status.
Data lineage
A record of where data came from and how it moved or changed throughout its lifecycle.
Least privilege
An access principle that grants only the permissions required to perform an authorized task.
Data masking
The replacement or concealment of sensitive values so unauthorized viewers cannot see the original information.
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Five-Domain Objectives Overview
- Data types and structures
- Operational and analytical environments
- Cloud, on-premises, and hybrid platforms
- Collecting and combining data
- Profiling, cleansing, and validation
- Handling missing and duplicate values
- Descriptive statistics
- Relationships, distributions, and outliers
- Interpreting analytical results
- Choosing suitable visual forms
- Designing clear and accessible reports
- Communicating metrics and trends
- Security and access controls
- Quality, lineage, and lifecycle management
- Privacy and responsible data use
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