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A couple of major players in the internet space, in particular Amazon, LinkedIn and Google, opened the eyes of the corporate world to the coming onslaught of a NoSQL workload. As with every new market opportunity, some young guns quickly jumped in to capitalize on the need and confusion, but things are starting to settle and NoSQL is maturing as Enterprise ready solutions break away with long sought after features. In this webcast, learn about NoSQL convergence from Oracle, the leader in data management and hear why some flavors of NoSQL are here to stay.
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NoSQL, growing up at Oracle
Robert Greene, product management
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Webcast Agenda
Modern data management workload
Lessons learned and applied
System architecture is key
Feature convergence on essentials
A lasting NoSQL technology
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modern data management workload
1. Write Intensive
2. Concurrent
3. Available
NoSQL, growing up at Oracle
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Modern Workloads
Amazon constructs each custom user web page by sending requests to 150 different
services and data stores. Over 500 individual key-value lookups per page server.
Write & Read intensive
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Modern workloads
Concurrent
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Modern Workloads
Built-in, always on
Available
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system architecture is key
1. Linear scaling
2. Replicated
3. Asynchronous
4. Data local
NoSQL, growing up at Oracle
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Architecture
Elastic Auto Sharding
(split, add, contract)
Store
Shard
M
Shard
M
R
R R
Application
NoSQL Driver
R
Writes to elected
node on ACID
Reads from any
node in system
Shard
M
R
R
Expand and Rebalance
Shard
M
R
R
Linear scaling & replicated
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Architecture
Asynchronous
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Architecture Data local
Pkey A Value A
F1 F2 F3 V1 V2 V3
Pkey B Value B
F1 F2 F3 V1 V2 V3 Skey A Pkey A
V2 V3 F1 F2 F3
Skey B Pkey B
V2 V3 F1 F2 F3
Skey A Pkey A
V1 F1 F2 F3
Skey B Pkey B
V1 F1 F2 F3
Primary Records
Secondary Indexes Shard 1
Writes
Reads
Shard 2
Shard N
Index on (V1)
Index on (V2, V3)
Value V1
V1a V2b V3c
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lessons learned and applied
1. Non-web retail
2. Integrated
3. Use cases unknown
NoSQL, growing up at Oracle
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Lessons learned
Non-Web Retail
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Lessons learned
Auth
oriz
atio
n
DW Rules
Publisher
Rule
Ma
na
ge
r
Customer
Rules
Fraud
Alerts
Rules Storage/Retrieval
Ris
k S
erv
ice
Ext Service Ext Streams
Integrated
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Lessons learned
New application: Retrieve all data for a TV
series (seasons, episodes, actors, and so on)
Perfect for a NoSQL database
– One simple retrieval returns all information
– Much simpler than relational database; no joins
Future use cases unknown
And then, a new feature request: Retrieve all data
for a given actor
Incompatible with original NoSQL document model
‘Actors’ cannot be retrieved separately
Simple feature to add with relational database
Just another SQL query on the same schema
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feature convergence on essentials
1. Transactions
2. Standards : SQL, Indexes
3. Secure : Auth, Roles, Audit
4. HA : Data Centers
NoSQL, growing up at Oracle
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Feature Convergence
Ease of use
– The 5% case
– Development simplification
– Process improvement
– Prevent index divergence
– Data consistency
Transactions
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Feature Convergence
Ease of use
– Data Modeling
– Integration
– SQL Query
Late Binding (soft-schema)
Indexes
Easy JSON representation
Tables
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Feature Convergence
Secure & Highly Available
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A lasting NoSQL technology
1. Simple key : value access
2. Concurrent capable
3. Integrated
4. Manageable
NoSQL, growing up at Oracle
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advanced key-value database
1. Don’t care what the value is
Tables: Primary key – Shard key
Data locality and indexing
BASE & Transactions
1. Don’t care what the value is
2. JSON API
1. Don’t care what the value is
2. JSON API
3. Table API
Oracle NoSQL Database
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Join NoSQL Database Community
Twitter https://twitter.com/#!/OracleNoSQL
LinkedIn http://www.linkedin.com/groups?gid=4147754
Oracle’s NoSQL DB blog https://blogs.oracle.com/nosql
Oracle Technology Network
http://bit.ly/1f0d8wU
Developer Webcast Series
http://bit.ly/1doV2jl
Oracle.com/BigData
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