🔒Data Privacy

The protection of personal information from misuse.

🏅Data Quality

The degree to which data is accurate, complete, and reliable.

🚑Data Recovery

The process of restoring lost or corrupted data.

♻️Data Redundancy

Unnecessary duplication of data within a system.

⏳Data Retention

Policies governing how long data is kept before deletion.

🧑‍🔬Data Scientist

A professional who analyzes complex data to extract insights.

🛡️Data Security

Protecting data from unauthorized access or corruption.

📍Data Source

The origin from which data is obtained.

🧑‍💼Data Steward

A person responsible for managing data assets and quality.

💾Data Storage

The retention of data on physical or cloud media.

🔄Data Transformation

Converting data from one format or structure into another.

🔤Data Type

A classification specifying the kind of value a field can hold.

✅Data Validation

Checking data for accuracy and compliance with rules.

🔍Data Verification

Confirming that data has been accurately transcribed or transferred.

📈Data Visualization

Representing data graphically to reveal patterns and insights.

🏭Data Warehousing

Storing integrated data from multiple sources for analysis.

🗄️Database

An organized collection of structured information stored electronically.

📦Dataset

A collection of related data points organized for analysis.

📖Descriptive Analytics

Analyzing data to describe what has happened.

🔎Diagnostic Analytics

Analyzing data to understand why something happened.

🔁ELT

Extract, load, and transform processes for modern data pipelines.

🔄ETL

Extract, transform, and load processes for moving data into warehouses.

🏷️Field

A single attribute or column in a database record.

🔗Foreign Key

A field linking records in one table to another table.

💽Hard Drive

A magnetic storage device for retaining digital data.

📇Index

A data structure that speeds up retrieval of database records.

ℹ️Information

Processed data that is meaningful and useful for decision making.

🎯KPI

A key performance indicator measuring success toward a goal.

🤖Machine Learning

Algorithms that learn patterns from data to make predictions.

🏷️Metadata

Data that describes other data, such as format or origin.