Transitioning from Data Warehousing to Big Data

2015
1h 50m

Introduction
Welcome
What you should know
1. Business Intelligence, Data Warehousing, and Big Data
Reviewing BI/DW history
Looking at big data
Exploring the Hadoop ecosystem
Understanding today’s analytics
2. Challenges with Traditional DW/BI
Taking a critical look at BI
Examining traditional data warehousing
Examining data warehouse methodologies
Confronting data-mart fragmentation problems
Looking at real-time data warehousing
3. Data Warehousing Architectures
Addressing the analytics gap
Looking at two Hadoop DW approaches
Comparing big data ELT with traditional ETL
Applying SQL to Hadoop
Exploring the evolution of DW with Hadoop
4. Data Warehousing and Big Data for You
Assessing the state of your data and analytics
Understanding architectural alternatives
Countering the anti-big-data argument
5. Data-Driven Warehousing and Analytics
Exploring vendor alternatives
Building your roadmap
Assembling your development team
Managing a big-data-driven DW project
Monitoring and measuring success
Conclusion
Next steps