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F R O M M O D E L TO P R O D U C T I O N
Tu r n i n g M i c r o s o f t A z u r e i n t o d a t a s c i e n c e p l a t f o r m
M i c h a ł Ż y l i ń s k i
M i c r o s o f t
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Model & ServePrep & Train
Databricks
HDInsight
Data Lake Analytics
Batch AI
Custom
apps
Sensors
and devices
Store
Blobs
Data Lake
Ingest
Data Factory(Data movement, pipelines & orchestration)
Machine
Learning
Cosmos DB
SQL Data
Warehouse
Analysis Services
Event Hub
IoT Hub
SQL Database
Analytical dashboards
Predictive apps
Operational reports
Intelligence
M I C R O S O F T A Z U R E D ATA S E R V I C E S AT G L A N C E
Business
apps
1001
SQLKafka
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D A T A S C I E N C E & A I C H A L L E N G E S
Accelerating adoption of AI by developers
Moving high-end developers into deep learning as non-traditional path to DS / AI dev
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D A T A S C I E N C E & A I C H A L L E N G E S
Push scoring/inference to the event (edge, cloud, on-prem)
Growth of diverse hardware arms race across all form factors
Accelerating adoption of AI by developers
Moving high-end developers into deep learning as non-traditional path to DS / AI dev
Lack of open model standards and cross-framework collaboration
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Azure Databricks
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Spark
SQL Server
Virtual machines
GPUs
Container services
NotebooksIDEs
Azure Machine Learning WorkbenchAzure Machine Learning Studio
SQL Server
Machine Learning Server
O N - P R E M I S E S
A Z U R E M A C H I N E L E A R N I N G
E D G E C O M P U T I N G
Azure IoT Edge
Experimentation and
Model Management
A Z U R E M A C H I N E L E A R N I N G S E R V I C E S T R A I N & D E P LO Y O P T I O N S
A Z U R E
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C A L L T O A C T I O N
▪ Open standards
▪ Open platforms
▪ Open source
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C A L L T O A C T I O N
▪ Learn more at:
▪ Microsoft Professional Program Data Science track (9 modules)
▪ Microsoft Professional Program Big Data track (10 modules)
▪ References (in order of appearance):
▪ Microsoft Team Data Science Process
▪ Azure Machine Learning Workbench
▪ Microsoft Machine Learning for Apache Spark (github repo)
▪ Open Neural Network Exchange [ONNX] (github repo)
▪ Send complaints feedback to /dev/null [email protected]
▪ Let me know if you’d be interested in deeper dive on this topics