Managing Data in Motion

Chapter 22

Conclusion to Managing Data in Motion

Information in this Chapter

Data integration architecture 

Why data integration architecture? 

Data integration life cycle and expertise 

Security and privacy 

Data integration engines 

Operational continuity 

ETL engine 

Enterprise service bus 

Data virtualization server 

Data movement 

Data integration hubs 

Master data 

Data warehouse and operational data store 

Enterprise content management 

Data archive 

Metadata management 

Data discovery 

Data profiling 

Data modeling 

Data flow modeling 

Metadata repository 

The end 

Data integration architecture

Why data integration architecture?

Every organization should have a data integration strategy as the volumes and complexity of the data they ...