- Apache Spark:
- Focus: In-memory data processing for both batch and stream.
- Strengths:
- High-level APIs (DataFrames, Datasets) for ease of use.
- Efficiently processes large data volumes.
- Rich function set for selection, aggregation, joins, etc.
- Use Cases: Batch analytics, real-time stream processing, machine learning.
- Learn More: Check out Spark’s official website1.
Incorporates quality checks, business rule validations to meet Data governance, legal issues, confidentiality - once data is validated, can process data into dedicated DBs, or lake explorer pools
Configuration
Troubleshooting
Spark Pool Setup