From AI Agent to Human-In-The-Loop — Master 12 data concepts and turn them into simple projects to stay ahead in IT.
Innovation in the field of data is progressing rapidly.
Let’s take a quick look at the timeline of GenAI: ChatGPT, launched in November 2022, became the world’s best-known application of generative AI in early 2023. By spring 2025, leading companies like Salesforce (Marketing Cloud Growth) and Adobe (Firefly) integrated it into mainstream applications — making it accessible to companies of various sizes. Tools like MidJourney advanced image generation, while at the same time, discussions about agentic AI took center stage. Today, tools like ChatGPT have already become common for many private users.
That’s why I have compiled 12 terms that you will certainly encounter as a data engineer, data scientist and data analyst in 2025 and are important to understand. Why are they relevant? What are the challenges? And how can you apply them to a small project?
Table of Content
Term 1–6 in part 1: Data Warehouse, Data Lake, Data Lakehouse, Cloud Platforms, Optimizing data storage, Big Data technologies, ETL, ELT and Zero-ETL, Even-Driven-Architecture
7 — Data Lineage & XAI
8 — Gen AI
9 — Agentic AI
10 — Inference Time Compute
11 — Near Infinite Memory
12 — Human-In-The-Loop-Augmentation
Final Thoughts
