Skip to content

12 Data Terms You Must Know in 2025

By 2025, data professionals will need to understand 12 key terms. Here’s a quick rundown:

  1. Data Warehouse, Data Lake, Data Lakehouse: These are storage solutions for big data, each with unique features for data management.
  2. Cloud Platforms: Essential for scalable data storage and processing.
  3. Optimizing Data Storage: Techniques to manage data efficiently.
  4. Big Data Technologies: Tools like Hadoop and Spark for handling large datasets.
  5. ETL, ELT, and Zero-ETL: Methods for data extraction, transformation, and loading.
  6. Event-Driven Architecture: Systems that respond to events in real-time.
  7. Data Lineage & XAI: Tracking data origins and explainable AI for transparency.
  8. Gen AI: Generative AI, like ChatGPT, integrated into mainstream applications by 2025.
  9. Agentic AI: AI that can act autonomously.
  10. Inference Time Compute: Speed of AI model predictions.
  11. Near Infinite Memory: Technologies allowing vast data storage.
  12. Human-In-The-Loop-Augmentation: Combining human and AI efforts for better results.

These terms are crucial for data engineers, scientists, and analysts to navigate the evolving data landscape effectively.

Source: towardsdatascience.com

Related Videos