The driving force behind Apache Spark (Databricks Inc.) and Microsoft have designed a joint service to quickly and easily create Big Data and Advanced Analytics solutions. The combination of the comprehensive Databricks Unified Analytics platform and the powerful capabilities of Microsoft Azure make it easy to analyse data streams or large amounts of data, as well asthe training of AI models. Sascha Dittmann shows in this session how the new Azure service can be set up and used in various real-world scenarios. He also shows, how to connect the various Azure Services to the Azure Databricks service.
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Azure Databricks—Apache Spark as a Service with Sascha Dittmann
3. CONTROL EASE OF USE
Azure Data Lake Store
Azure Storage
BIGDATA
STORAGE
BIGDATA
ANALYTICS
ReducedAdministration
Data Engineering in a
Job-as-a-service model
Azure Data Lake
Analytics
Big Data as-a-service
Any Hadoop technology,
any distribution
Azure Marketplace
HDP | CDH | MapR
IaaS Clusters
Workload optimized,
managed clusters
Managed Clusters
Azure HDInsight
Frictionless & Optimized
Spark clusters
Azure Databricks
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4. Cloud storage
Data warehouses
Hadoop storage
IoT / streaming data
Machine learning models
BI tools
Data exports
Data warehouses
Azure Databricks
Enhance Productivity Build on secure & trusted cloud Scale without limits
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5. DEMO
How to get started with Azure Databricks
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