COURSE
Large-Scale Analytics and Data Processing
INR 29
Description
Understanding data ingestion, processing, and modern data warehouse concepts for analytics workloads.
Learning Objectives
Learners will understand large-scale data processing patterns, ETL/ELT processes, and modern data warehouse architecture.
Topics (4)
1
Data Ingestion Patterns
Data ingestion involves collecting data from various sources using appropriate patterns for different volume and velocity requirements.
2
ETL and ELT Processes
ETL and ELT represent different approaches to data transformation with trade-offs in performance and flexibility.
3
Modern Data Warehouse Architecture
Modern data warehouses leverage cloud scalability with decoupled compute and storage for cost-effective analytics.
4
Analytical Data Stores
Analytical data stores optimize query performance through specialized storage formats and processing architectures.