Learning collection
Big Data
Reusable material on big data concepts, data systems, and distributed data processing.
For the course reading sequence, start with IDC 6145. This collection contains the fuller explanations used by its chapter guides.
- Introduction To Big Data
- Big Data Life Cycle
- Taxonomy of Data Storage: From Local to Cloud
- Big Data Processing
- Data Analysis for Big Data: Overview
- Machine Learning And Deep Learning For Data Analysis
- PySpark Programming for Big Data
- PySpark Environment for Learning
- PySpark Programming: RDD
- PySpark Programming: Spark SQL and DataFrame API
- Streaming for Big Data
- Cloud Computing For Big Data
- Security, Privacy, and Compliance for Big Data
- Big Data Glossary