The layer where machine learning algorithms are applied

The initial storage of raw data from various sources in cloud-based systems

The layer where data is cleaned and transformed

The final stage where data is visualized for business users

Data Analysts work only with structured data, while Data Scientists work with unstructured data

Data Analysts focus on descriptive analytics, while Data Scientists focus on predictive and prescriptive analytics

Data Analysts work in the early stages (bronze and silver layers), while Data Scientists focus on later stages (gold layer onwards)

Data Analysts use SQL, while Data Scientists use Python

Creating and maintaining data pipelines

Performing Extract, Transform, Load (ETL) processes

Developing machine learning models

Transitioning data from traditional databases to cloud-based storage

It allows companies to rely solely on intuition for decision-making

It helps companies avoid collecting and storing data

It enables businesses to make data-driven decisions and predict future trends

It replaces the need for human analysts in an organization