Road To AWS Certified Machine Learning Associate Part - 2 | Data Fundamentals & Architecture

Welcome to Part 2 of the AWS Certified Machine Learning Engineer Associate! 🚀 In this session, we dive into Data Fundamentals & Architecture, covering Domain 1 of the AWS Machine Learning Engineer Associate exam. We explore how data structures, connectivity protocols, and modern storage architectures directly impact ML pipeline efficiency and cloud operational costs on AWS. 📌 What you'll learn in this video: i. Types & Characteristics of Data: Structured, Semi-Structured, Unstructured, and the 3 V’s (Volume, Velocity, Variety) ii. Storage Architectures: Data Warehouses, Data Lakes, Lakehouses, and Data Mesh iii. Data Connectivity: JDBC vs. ODBC drivers for ML engines & BI tools iv. File Formats Demystified: CSV, JSON, Apache Avro (row-based), and Apache Parquet (columnar optimization & predicate pushdown) If you find this video helpful, please consider liking, subscribing, and dropping any questions in the comments below! 👇 GitHub Link: https://tinyurl.com/mw988335 LinkedIn Post Link: https://tinyurl.com/y3we4zhf #aws #machinelearning #cloudcomputing #awscertification #dataengineering #sagemaker #datalake #datamesh #bigdata #parquet