Learning Real-time Processing with Spark Streaming > PACKT 원서리스트

1: Installing and Configuring Spark and Spark Streaming
Installation of Spark
Configuring and running the Spark cluster
Your first Spark program
Tools and utilities for administrators/developers
Troubleshooting
Summary

2: Architecture and Components of Spark and Spark Streaming
Batch versus real-time data processing
Architecture of Spark
Architecture of Spark Streaming
Your first Spark Streaming program
Summary

3: Processing Distributed Log Files in Real Time
Spark packaging structure and client APIs
Resilient distributed datasets and discretized streams
Data loading from distributed and varied sources
Summary

4: Applying Transformations to Streaming Data
Understanding and applying transformation functions
Performance tuning
Summary

5: Persisting Log Analysis Data
Output operations in Spark Streaming
Integration with Cassandra
Summary

6: Integration with Advanced Spark Libraries
Querying streaming data in real time
Graph analysis Spark GraphX
Summary

7: Deploying in Production
Spark deployment models
High availability and fault tolerance
Monitoring streaming jobs
Summary

Appendix A: Index