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DMCC Future of Trade Web3 - Special Edition
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Artificial intelligence in the post-deep learning era
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Build your next Gen AI Breakthrough - April 2024
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"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
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Unblocking The Main Thread Solving ANRs and Frozen Frames
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CloudStudio User manual (basic edition):
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Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
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BDW16 London - Alex Bordei, Bigstep - Building Data Labs in the Cloud
1.
Building Data Labs in
the Cloud Alex Bordei Head of Product Management at Bigstep
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The Data Laboratory
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Connecting to on-premise
services - VPN
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Connecting to on-premise
services - Targeted Firewall
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Identity Services integration
- On-premises realm
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Identity Services integration
- cloud realm
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Joined single sign
on (for two factor auth)
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• Hadoop’s Encryption
(with KMS) • Third party Encryption with on-premise HSM • Cloud providers offer HSMs as well: CloudHSM Eg: Zettaset Encryption
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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
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Multi-Context Architecture - Rip and
replace maintenance model - Multiplexing for resource utilization efficiency
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Realtime = production The
system will need to provide: - performance - stability - online serviceability - fault tolerance
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@alexandrubordei @bigstepinc alex@bigstep.com I’m all ears