Pickl AI

NOVEMBER 4, 2024

Summary: The fundamentals of Data Engineering encompass essential practices like data modelling, warehousing, pipelines, and integration. Understanding these concepts enables professionals to build robust systems that facilitate effective data management and insightful analysis. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Iguazio

MARCH 20, 2025

Data Management, Security, and Governance Automating, scaling, versioning and productizing data pipelines Ensuring data security, lineage and risk controls Adding application security Adding real-time guardrails and hallucination protection 2. Whats Next in 2025?

AI 59

AI AI Data Pipeline Data Scientist 59

Towards AI

JANUARY 22, 2025

Last Updated on January 22, 2025 by Editorial Team Author(s): Edoardo De Nigris Originally published on Towards AI. In this article i will give my 2 cents on what I think its useful to focus on to be a strong candidate from 2025 onward. Coding skills remain important, but the real value of data scientists today is shifting.

Data Scientist 105

Data Scientist EDA Exploratory Data Analysis AI 105