Mastering Apache Spark > PACKT 원서리스트

1: Apache Spark
Overview
Cluster design
Cluster management
Performance
Cloud
Summary

2: Apache Spark MLlib
The environment configuration
Classification with Nave Bayes
Clustering with K-Means
ANN Artificial Neural Networks
Summary

3: Apache Spark Streaming
Overview
Errors and recovery
Streaming sources
Summary

4: Apache Spark SQL
The SQL context
Importing and saving data
DataFrames
Using SQL
User-defined functions
Using Hive
Summary

5: Apache Spark GraphX
Overview
GraphX coding
Mazerunner for Neo4j
Summary

6: Graph-based Storage
Titan
TinkerPop
Installing Titan
Titan with HBase
Titan with Cassandra
Accessing Titan with Spark
Summary

7: Extending Spark with H2O
Overview
The processing environment
Installing H2O
The build environment
Architecture
Sourcing the data
Data Quality
Performance tuning
Deep learning
H2O Flow
Summary

8: Spark Databricks
Overview
Installing Databricks
AWS billing
Databricks menus
Account management
Cluster management
Notebooks and folders
Jobs and libraries
Development environments
Databricks tables
The DbUtils package
Summary

9: Databricks Visualization
Data visualization
REST interface
Moving data
Further reading
Summary

Appendix A: Index