| Introduction. Part I Getting Started. Chapter 1 ETL Primer. Chapter 2 Kettle Concepts. Chapter 3 Installation and Configuration. Chapter 4 An Example ETL Solution-Sakila. Part II ETL. Chapter 5 ETL Subsystems. Chapter 6 Data Extraction. Chapter 7 Cleansing and Conforming. Chapter 8 Handling Dimension Tables. Chapter 9 Loading Fact Tables. Chapter 10 Working with OLAP Data. Part III Management and Deployment. Chapter 11 ETL Development Lifecycle. Chapter 12 Scheduling and Monitoring. Chapter 13 Versioning and Migration. Chapter 14 Lineage and Auditing. Part IV Performance and Scalability. Chapter 15 Performance Tuning. Chapter 16 Parallelization, Clustering, and Partitioning. Chapter 17 Dynamic Clustering in the Cloud. Chapter 18 Real-Time Data Integration. Part V Advanced Topics. Chapter 19 Data Vault Management. Chapter 20 Handling Complex Data Formats. Chapter 21 Web Services. Chapter 22 Kettle Integration. Chapter 23 Extending Kettle. Appendix A The Kettle Ecosystem. Appendix B Kettle Enterprise Edition Features. Appendix C Built-in Variables and Properties Reference. Index. |
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