This document discusses best practices for big data and data visualization. It introduces QlikView, a patented in-memory associative technology platform that allows for real-time online analytical processing (OLAP) through thought-driven and natural interactions. The document explores how QlikView's capabilities can be extended through building visualizations, extensions, and optimizing layouts to push its capabilities to the limit. It concludes by providing contact information to discuss extending QlikView further.

1. Big Data and data visualisation
Best Practices

2. Patented In Memory Associative Technology
What How The power of simplicity
• Associative In Memory
Memory & Processor Power
QlikView Real-time OLAP
• Thought driven • Fast “Real-time processing”
• Natural • Light impact
• Freeing • Visually Interactive 64 Bit
• Flexible • Summary and Detail Traditional Cube OLAP
• Collaborative • Portable “Pre-processing”
• Personal • Simple
• Empowering • Inexpensive
• Integrative Time

4. Build in visualisation capabilities

5. How can Qlikview be extended?

7. Pushing capabilities to the limit

8. Perfecting the lay-out

9. How Qlikview can be extended

10. Build an extension for Qlikview

11. Contact: mail@lankester.info
Sources: Qliktech UK, Keynote presentation