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Data Processing
Course Description
Overview
Objectives
Audience
Prerequisites
- Attendants should have knowledge in:
- Spark fundamentals
- Pyspark Fundamentals
- Hadoop Fundamentals (listed below)
- Kafka
- HBase or Hive
- Atlas
Topics
- Unit 1. Introduction to Data Processing
- Unit 2. Introduction to Data Ingestion
- Unit 3. Batch Processing
- Unit 4. Spark Streaming
- Unit 5. Structured Streaming
- Unit 6. Spark Streaming Integrations
- Unit 7. Advanced Spark Streaming
- Unit 8. Advanced Structured Streaming
- Unit 9. Exploratory Data Analysis
- Unit 10. Exploratory Data Analysis on Structured Data Exploratory Data Analysis functions on Different types of data Lab included
- Unit 11. Exploratory Data Analysis on UnStructured Data
- Unit 12. Data Lineage
- Unit 13. Data Organization
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