Sometimes known as "ETL" or "ELT" - it's the process of combining data residing in different sources and providing users with a unufied view of them.
It's usually a single store of all enterprise data. Data Lakes will include raw copies of data and transformed data used for tasks such as reporting visualization, analytics and machine learning.
The use of data modeling standards is strongly recommended for all projects. There is no such thing as the final data model it will change in response to a changing business.
The goal is to communicate information clearly and efficiently to users. This what most business executives and users focus on – often considered Business Intelligence.
The discipline of combining statistics, data analysis, machine learning and their related methods in order to understand and analyze actual phenomena with data.
The process of defining and describing an architecture of a system for a specific solution - it may encompass an entire system or only its specific parts.
Steeful is a boutique technology agnostic data consultancy with scale. We help our clients value engineer data solutions ranging from self-service reporting platforms to artificial intelligence and everything in between.