Building a real time data analysis infrastructure is a challenging task that requires experienced engineers. With AWS services, you can do it in a matter of minutes, scale it easily to handle almost unlimited load, and keep it as a low cost infrastructure. This session is an opportunity to see a live demo on building an infrastructure using a combination of Amazon Kinesis, Redshift, DynamoDB, EMR and CloudSearch, to collect, process and share data.

1. AWS Summit 2014
Real Time Data Analytics - Part
1: Backend Infrastructure
Guy Ernest
Solutions Architecture
@guyernest

2. “if all you have is a hammer, everything looks like a nail”

3. Yes, you can do everything with
your favorite DB

4. Yes, you can do everything with
your favorite DB
But, is it the best option?
Are all these requirements really nails?

9. Concerns
SECURITY CHECK

10. AWS CloudTrail
permissions

11. Concerns
COMPLEXITY CHECK

12. Services Setup Code

13. Services Scale Up

14. Services Write & Read

15. SDKs
new!
Java Python (boto) PHP .NET Ruby Node.js
iOS Android AWS Toolkit for
Visual Studio
AWS Toolkit
for Eclipse
AWS Tools for
Windows
PowerShell
AWS CLI
JavaScript

16. Concerns
COST CHECK

19. Services Deep Dive
CAN I DO GEOSPATIAL?

20. DynamoDB Geo-spatial

25. CloudSearch Native Geo-Spatial support
• Latitude and Longitude data
types
• Region search
• Distance sort
• Supports mobile

26. Thank You!
AWS EXPERT?
GET CERTIFIED!
aws.amazon.com/certification
Guy Ernest
Arkady Karpman
@guyernest