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Building Data Labs
in the Cloud
Alex Bordei
Head of Product Management at Bigstep
The Data Laboratory
Connecting to on-premise services - VPN
Connecting to on-premise services - Targeted Firewall
Identity Services integration - On-premises realm
Identity Services integration - cloud realm
Joined single sign on (for two factor auth)
• Hadoop’s Encryption (with KMS)
• Third party Encryption with on-premise
HSM
• Cloud providers offer HSMs as well:
CloudHSM
Eg: Zettaset
Encryption
HDFS+Spark
Spark can do:
1. data science at scale
2. SQL on Hadoop
3. ETL
4. large scale data
processing
5. machine learning
6. graph processing
Multi-Context
Architecture
- Rip and replace maintenance
model
- Multiplexing for resource
utilization efficiency
Realtime = production
The system will need to provide:
- performance
- stability
- online serviceability
- fault tolerance
@alexandrubordei
@bigstepinc
alex@bigstep.com
I’m all ears

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