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
Cloud
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
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
Book Shelf
2022 Bookshelf
Technical The Machine Learning Solutions Architect Designing Cloud Data Platforms NLP Books NLP at work Exactly what to Say Mind/Thoughts
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
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
AI
BASICS – SUPERVISED MACHINE LEARNING
From the perspective of a machine-learning user, the machine-learning model looks like a black box, a). Ingest data in and