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Dive Into The Why Behind Auto-Scaling

Learn why auto-calling for big data in the cloud requires a different approach than parameter-driven auto-scaling. 

This technical white paper explains the differences between what cloud provider auto-scaling was designed to support vs. what is required to scale cloud resources with Hadoop, Spark, and big data workloads. You will learn:

  • What are the differences in transactional web server vs. big data workloads
  • Why up-scaling and down-scaling must work differently for big data 
  • How you may be losing data and risking your business by relying on simple down-scaling methods
  • How spot nodes are important to reducing costs but vastly complicate auto-scaling with big data
  • What are the financial savings realized by companies using workload-aware auto-scaling 
 
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AGENDA

11:30 AM - 12:00 PM    Check-in & Order Lunch
12:00 PM - 12:15 PM    Introduction to Big Data Activation
12:15 PM - 12:45 PM    Microsoft’s View on Current Data Trends & Challenges in the Oil & Gas industry
12:45 PM - 1:30 PM    Panel Discussion: Microsoft and Qubole

SPEAKERS/­PARTNERS SECTION

 
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