Data lake is the most common architecture built in data-driven organizations today. It enables you to store unstructured, semi-structured, and structured raw data as well as processed data for different types of analytics — from dashboards and visualizations to big data processing, real-time analytics, and machine learning. A Well-designed data lakes ensure that organizations get the most business value from their data assets. In this session, you will learn about different patterns we see customers use to build data lakes on AWS.
Session Id: NGA163
Journey: Next Gen Analytics Journey
Product: Enterprise Data Catalog, Enterprise Data Preparation
Role: Business Leader, Data Leader, Architect /IT Leader, Practitioner/Developer
Technology Ecosystem: AWS
Initiatives: Drive digital transformation, Effectively leverage artificial intelligence (AI), Modernize analytics architecture
Objectives: Discover and catalog all your data, Simplify and automate data management