What are the four components of a data platform?

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The four components of Data Science include: Data Strategy. Data Engineering. Data Analysis and Models. Data Visualization and Operationalization.

What are the components of a data platform?

Essentially, a modern data platform has the following eight components, including data ingestion, warehouse, lakehouse, business intelligence, data transformation, data science, governance, and privacy.

What are the 4 components of data science?

Data Science ComponentsDescriptive Statistics:Inferential Statistics:Supervised Machine Learning.Unsupervised Machine Learning.Semi-Supervised Machine Learning.Data Science Components and Visualization | H2kinfosys Blog

What are data platform?

A data platform is an integrated set of technologies that collectively meets an organization's end-to-end data needs. It enables the acquisition, storage, preparation, delivery, and governance of your data, as well as a security layer for users and applications.

What are the essential features of data platform?

4 key characteristics of a modern data platformThe rise of cloud technology. ... Discoverable data. ... Democratization of data. ... Utilizing modern tools: artificial intelligence & machine learning.4 Things to Look for in a Modern Data Platform - Sirius Edge

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