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Research Briefings

A guide to big data workload-management challenges

Summary:

The explosive growth in the volume, velocity, variety and complexity of data now challenges the traditional enterprise application vendors, and new applications have emerged that are real-time, massively scalable and have closed-loop analytics. This paper is targeted at technology-aware business executives, IT generalists and those who recognize that many emerging applications need new data-management foundations. It surveys this class of applications from several high-level perspectives: the characteristics of the data, the distinctiveness of the new class of applications, and the emerging database technologies that support them. In particular, it focuses on the class of systems with a rich data model typified by Cassandra.

  1. Table of contents                                                                                                            
  2. Executive summary                                                                                                    
    1. Understanding the new class of applications                                          
    2. New applications supporting new business models                                         
  3. Requirements for new technology underpinnings                                              
  4. Volume, velocity and variety of data                                                                                                                                                                            
  5. Real-time, massively scalable and closed-loop characteristics of applications                                                                                                         
  6. Approaches to scalability                                                                                                                                                                                         
  7. Alternatives to Cassandra                                                                                                                     
  8. Driving better decisions into online applications                                 
  9. Key takeaways                                                                                                            
    1. Business considerations                                                                                       
    2. Technology considerations                                                                                    
  10. Appendix A: understanding the assumptions in NoSQL databases as a class of systems relative to SQL databases                                                                                                                                          
  11. About George Gilbert                                                                                            
  12. About GigaOM Pro                                                                                                    
  13. Further reading                                                                                                        

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