Cloud

Cloud Data Architecture – 4-Layer Vs 6-Layer

4 Layer Data Architecture . Ingestion Layer Connects source system and brings source data into data lake and preserve original

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Cloud

Traditional Data warehouses struggle with 3V’s (Variety, Volume and Velocity)

Variety – Different spices of data Volume- Volume of Data Velocity – Speed of arriving Data Traditional Data warehouse has

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Cloud

Lambda Architecture Vs Cloud Data Architecture

In lambda, the same data goes through two different pipelines, and in our data platform architecture, batch goes through one

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Cloud NLP

Building blocks of Cloud Data Platform

Layers of Data Platform Ingestion Layer Storage Layer Processing Layer Serving Layer Ingestion Layer It’s all about getting data into

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Cloud Projects

Principles of Data Architecture

Data First Artifacts must include data flows accurately and track data interactions at a dataset level. Data is Secure Personal

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