From Knowledge Lakehouses to Occasion-Pushed Structure — Grasp 12 knowledge ideas and switch them into easy tasks to remain forward in IT.
After I scroll by way of YouTube or LinkedIn and see matters like RAG, Brokers or Quantum Computing, I typically get a queasy feeling about maintaining with these improvements as a knowledge skilled.
However after I replicate then on the matters my prospects face every day as a Salesforce Advisor or as a Knowledge Scientist at college, the challenges usually appear extra tangible: examples are sooner knowledge entry, higher knowledge high quality or boosting workers’ tech expertise. The important thing points are sometimes much less futuristic and may normally be simplified. That’s the main target of this and the following article:
I’ve compiled 12 phrases that you’ll definitely encounter as a knowledge engineer, knowledge scientist and knowledge analyst in 2025. Why are they related? What are the challenges? And how will you apply them to a small challenge?
So — Let’s dive in.
Desk of Content material
1 — Data Warehouse, Data Lake, Data Lakehouse
2 — Cloud platforms as AWS, Azure & Google Cloud Platform
3 — Optimizing data storage
4 — Big data technologies such as Apache Spark, Kafka
5 — How data integration becomes real-time capable: ETL, ELT and Zero-ETL
6 — Even-Driven Architecture (EDA)
Time period 7–12 partly 2: Knowledge Lineage & XAI, Gen AI, Agentic AI, Inference Time Compute, Close to…
