AWS provides a rich database environment comprising of a wide selection of In-memory data stores, SQL & NoSQL databases, Search, and Data Warehousing technologies. Plus there are many storage options such as EBS, EC2 Instance Storage, HDFS, Amazon S3, Amazon Glacier etc. with different performance and durability characteristics. AWS Solutions architects have helped a wide variety of customers build successful database solutions on AWS. In this presentation we'll outline various database and storage options and discuss AWS DB Architecture Patterns & Best Practices. You will be able to learn how to architect your database tier by using the right database and storage technologies to achieve the required functionality, performance, availability and durability - at the right cost.

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3. Database Tier
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5. Cloud Migration Management Concerns
Data Storage Technologies
Performance and Delivery
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6. Data Tier Amazon
Amazon
Amazon S3 EC2
Amazon Elastic
ElastiCache MapReduce
Amazon
CloudSearch
Amazon Amazon
Amazon RDS Glacier Amazon
DynamoDB Redshift
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7. Structured – Complex Query Structured – Simple Query
Unstructured – No Query
Unstructured – Custom Query
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8. Raw Compute Capabilities Compute Storage Options
Primitives add Flexibility but also come with Operational Burden!
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9. Step in Structured? Durability? Speed
Data Lifescycle of
Ingest
Archival access
Ingest Less High Medium
Metadata / Highly High High
Metadata Search
Analytics Usage logging Less High Medium
& Search
Recommenda Highly Medium High
tions
Usage Backup No High Medium
Backup Analytics Highly Medium Medium/
logging
Low
Data archival No High Low
Recs
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10. Structure Low
High
Large
Amazon
Data- set Size
Amazon Elastic Amazon S3 Amazon
MapReduce Glacier
Redshift
Amazon
DynamoDB
Amazon
CloudSearch
Amazon
Amazon RDS ElastiCache
Small Small Large
Item/Row size
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11. Amazon Amazon
CloudSearch Amazon
ElastiCache ElastiCache
Amazon
Amazon RDS Amazon
Amazon Redshift
DynamoDB Elastic
MapReduce
Reference Amazon S3 Amazon
Architecture Glacier
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13. X
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16. When to use When not to use
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18. When to use When not to use
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20. When to use When not to use
Push-Button Scaling Multi-AZ Read
Replicas
AZ 1 AZ 2
Region
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22. When to use When not to use
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23. Events_table_2012
Event_id Timestam Attribute1 …. Attribute N
(Hash key) p
(range key)
Events_table_2012_05_week1
Timestam Attribute1 …. Attribute N
Events_table_2012_05_week2
Event_id
(Hash key)
Event_id p Timestam Attribute1 …. Attribute N
(Hash key)(range key)
p
Events_table_2012_05_week3
Event_id (range key)
Timestam Attribute1 …. Attribute N
(Hash key) p
(range key)
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24. When to use When not to use
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25. Job Flow
Duration:
14 Hours
Job Flow
Duration:
7 Hours
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26. When to use When not to use
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28. When to use When not to use
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30. When to use When not to use
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32. When to use When not to use
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34. Data Tier Amazon
Amazon Elastic
ElastiCache MapReduce
Amazon Redshift
Amazon Amazon S3
CloudSearch
Amazon
EC2
Amazon Amazon RDS Amazon
DynamoDB Glacier
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