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SQL or NoSQL    How to choose Venu Anuganti Jan 2011 http://venublog.com/
Who am I  ,[object Object],[object Object],[object Object],[object Object]
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Buzzzzzzz ,[object Object],[object Object],[object Object],[object Object]
[object Object]
Data Architecture ,[object Object],[object Object],[object Object],[object Object]
Traditional Architecture ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Traditional Scalability … ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Common Problems… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Evolution  ,[object Object],[object Object],[object Object],[object Object],[object Object]
Data is the Business ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Solution that works ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
NoSQL Solution Emerges ,[object Object],[object Object],[object Object],[object Object],[object Object]
Relaxed Consistency  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object]
Data Stores ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SQL Stores ,[object Object],[object Object],[object Object]
SQL Stores … ,[object Object],[object Object],[object Object]
SQL Stores ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Analytic Stores ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Analytic Stores ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
NoSQL Stores ,[object Object],[object Object],[object Object],[object Object]
NoSQL Stores … ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
NoSQL Stores … ,[object Object],[object Object],[object Object],[object Object],[object Object]
NoSQL Stores ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object]
Basic Decision Principles ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Basic Decision Principles … ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SQL – Good ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SQL – Good ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SQL – Bad ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
NoSQL - Good ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
NoSQL - Good ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
NoSQL - Bad ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SQL/NoSQL – Good and Bad ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Cache ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Document Store ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Column Family Store ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Graph Store ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Cloud Data Stores ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SUMMARY ,[object Object],[object Object],[object Object],[object Object],[object Object]
Finally … ,[object Object],[object Object],[object Object],[object Object],[object Object]
Questions ? ,[object Object],[object Object],[object Object]

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SQL/NoSQL How to choose ?

  • 1. SQL or NoSQL How to choose Venu Anuganti Jan 2011 http://venublog.com/
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Notes de l'éditeur

  1. MySQL Employee 2000-2004 Database Companies MySQL SOLID ANTs Data Server ScaleDB Part of Yahoo’s cloud initiates like Sherpa and Mobstor and a platform MySQL Geek Still contribute randomly to MySQL source
  2. To answer all these, we need to understand how the traditional data architecture is and how it is currently used and the future of data
  3. When web is read-only, things used to scale with one or more systems with caching or LB in the front But as things change to real-time and interactive, the same architecture can’t keep up Talk about how Facebook, Twitter, LinkedIn is evolving Public cloud sucks in performance, but offers elasticity to grow ; but you need to design systems to balance hardware, performance and scalability
  4. If Facebook, Twitter or someone else uses NoSQL, does not mean everyone has to use it If someone scales using MySQL, does not mean everyone can use the same concept
  5. Caching was used for scaling reads
  6. Caching was used for scaling reads
  7. Caching was used for scaling reads
  8. When web is read-only, things used to scale with one or more systems with caching or LB in the front But as things change to real-time and interactive, the same architecture can’t keep up Talk about how Facebook, Twitter, LinkedIn is evolving Public cloud sucks in performance, but offers elasticity to grow ; but you need to design systems to balance hardware, performance and scalability
  9. Not everyone wants to hear about systems going down for hours and hours or even days Like FourSquare, Tumbler
  10. Typical OLTP system needs C & A Replication is also eventual consistency Eventually consistent
  11. Now lets understand different types of data stores
  12. Widely adopted for years
  13. Widely adopted for years
  14. Widely adopted for years
  15. Widely adopted for years
  16. DCA Data Computing Appliance Talk about analytics and how crucial they are now
  17. Bunch of cloud based solutions, which are bit surprising
  18. Bunch of cloud based solutions, which are bit surprising
  19. Bunch of cloud based solutions, which are bit surprising
  20. Before getting into how to design and implement, lets understand some basics of design, what to achieve
  21. Twitter – MySQL crash and no proper backups in place.. Rolling restore Tumblr … it was down for close to 16 hours or so FourSuare is down for 12 hrs or so You don’t want to be a in situation where you don’t know where the problem is
  22. Employee or user can update his profile fields Guaranteed durability
  23. Employee or user can update his profile fields Guaranteed durability
  24. Employee or user can update his profile fields Guaranteed durability
  25. Gaming is a classic example for volatile data
  26. Gaming is a classic example for volatile data
  27. Gaming is a classic example for volatile data
  28. Gaming is a classic example for volatile data
  29. Gaming is a classic example for volatile data
  30. Gaming is a classic example for volatile data
  31. Gaming is a classic example for volatile data
  32. Gaming is a classic example for volatile data