📊 Dati
Archiviazione, elaborazione e analisi dei dati.
💾Backup
A copy of data stored separately to prevent loss.
📦Batch Processing
Processing data in large groups at scheduled intervals.
🐘Big Data
Extremely large datasets requiring specialized tools for analysis.
📊Chart
A graphical representation of data such as bars or lines.
☁️Cloud Storage
Storing data on remote servers accessed via the internet.
🎛️Dashboard
A visual interface displaying key metrics and data in one view.
📊Data Analyst
A professional who interprets data to support business decisions.
📊Data Analytics
Examining data to draw conclusions and support decisions.
🎭Data Anonymization
Removing personal identifiers from data to protect privacy.
📦Data Archiving
Moving inactive data to long-term storage for retention.
🏢Data Center
A facility housing servers and storage systems for data processing.
🧹Data Cleaning
The process of detecting and correcting errors in data.
📥Data Collection
The process of gathering information from various sources.
🗜️Data Compression
Reducing the size of data to save space or bandwidth.
⚖️Data Consistency
Ensuring data remains uniform across different systems.
🔐Data Encryption
Encoding data to prevent unauthorized access.
🔧Data Engineer
A professional who builds and maintains data infrastructure.
⌨️Data Entry
The act of inputting data into a system manually or automatically.
⚖️Data Governance
The framework of policies managing data availability and quality.
📥Data Ingestion
The process of importing data into a system for processing.
🧩Data Integration
Combining data from different sources into a unified view.
✅Data Integrity
The accuracy and consistency of data over its lifecycle.
🌊Data Lake
A centralized repository storing raw data in its native format.
🔄Data Lifecycle
The stages data goes through from creation to deletion.
🛒Data Mart
A focused subset of a data warehouse for a specific business area.
🎭Data Masking
Replacing sensitive data with fictitious values for testing.
🚚Data Migration
Moving data from one system or storage to another.
⛏️Data Mining
Discovering patterns and insights from large datasets.
🏗️Data Model
A conceptual representation of data structures and relationships.
🛤️Data Pipeline
A series of steps that move and process data automatically.