By 2025, data professionals will need to understand 12 key terms. Here’s a quick rundown:
- Data Warehouse, Data Lake, Data Lakehouse: These are storage solutions for big data, each with unique features for data management.
- Cloud Platforms: Essential for scalable data storage and processing.
- Optimizing Data Storage: Techniques to manage data efficiently.
- Big Data Technologies: Tools like Hadoop and Spark for handling large datasets.
- ETL, ELT, and Zero-ETL: Methods for data extraction, transformation, and loading.
- Event-Driven Architecture: Systems that respond to events in real-time.
- Data Lineage & XAI: Tracking data origins and explainable AI for transparency.
- Gen AI: Generative AI, like ChatGPT, integrated into mainstream applications by 2025.
- Agentic AI: AI that can act autonomously.
- Inference Time Compute: Speed of AI model predictions.
- Near Infinite Memory: Technologies allowing vast data storage.
- 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
