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Powerful Big Data Analytics as
a Service, with Apache Spark
and Azure Databricks
Sorin Pește
Technology Solutions Professional
Microsoft
source: xkcd.com
A PA C H E S PA R K
A unified, distributed, open source engine for large-scale data processing
Spark Structured
Streaming
Stream processing
Spark MLlib
Machine
Learning
Spark Core Engine
Spark SQL
Interactive
Queries
Yarn Mesos
Standalone
Scheduler
Spark MLlib
Machine
Learning
Spark
Streaming
Stream processing
GraphX
Graph
Computation
S PA R K : A B R I E F H I S T O R Y
S PA R K I N T H E R E A L W O R L D
still comes with challenges…
Spark MLlib
Machine
Learning
D ATA B R I C K S - C O M PA N Y O V E R V I E W
D A T A B R I C K S : T H E U N I F I E D A N A L Y T I C S P L A T F O R M




D A T A B R I C K S S P A R K I S F A S T
Benchmarks have shown Databricks to often have better performance than alternatives
SOURCE: Benchmarking Big Data SQL Platforms in the Cloud
Azure Databricks
Databricks Spark as a managed service on Azure
CONTROL EASE OF USE
Azure Data Lake
Analytics
Any Hadoop technology,
any distribution
Workload optimized,
managed clusters
Data Engineering in a
Job-as-a-service model
Azure Marketplace
HDP | CDH | MapR
Azure Data Lake
Analytics
Virtual Machines Managed Clusters Big Data as-a-service
Azure HDInsight
Frictionless & Optimized
Spark clusters
Azure Databricks
BIG
DATA
ANALYTICS
Reduced
Administration
B I G D ATA I N M I C R O S O F T A Z U R E
Azure Data Lake Store
Azure Storage
BIG
DATA
STORAGE
Azure Databricks
Demo
https://github.com/neaorin/databricks-demos
Azure Databricks
How to Try It Out?
https://www.visualstudio.com/dev-essentials/
https://community.cloud.databricks.com/

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898-Azure Databricks Technical Deck - sorinpe.pptx

  • 1. Powerful Big Data Analytics as a Service, with Apache Spark and Azure Databricks Sorin Pește Technology Solutions Professional Microsoft source: xkcd.com
  • 2.
  • 3.
  • 4. A PA C H E S PA R K A unified, distributed, open source engine for large-scale data processing Spark Structured Streaming Stream processing Spark MLlib Machine Learning Spark Core Engine Spark SQL Interactive Queries Yarn Mesos Standalone Scheduler Spark MLlib Machine Learning Spark Streaming Stream processing GraphX Graph Computation
  • 5. S PA R K : A B R I E F H I S T O R Y
  • 6. S PA R K I N T H E R E A L W O R L D still comes with challenges… Spark MLlib Machine Learning
  • 7.
  • 8. D ATA B R I C K S - C O M PA N Y O V E R V I E W
  • 9. D A T A B R I C K S : T H E U N I F I E D A N A L Y T I C S P L A T F O R M    
  • 10. D A T A B R I C K S S P A R K I S F A S T Benchmarks have shown Databricks to often have better performance than alternatives SOURCE: Benchmarking Big Data SQL Platforms in the Cloud
  • 11. Azure Databricks Databricks Spark as a managed service on Azure
  • 12.
  • 13.
  • 14.
  • 15. CONTROL EASE OF USE Azure Data Lake Analytics Any Hadoop technology, any distribution Workload optimized, managed clusters Data Engineering in a Job-as-a-service model Azure Marketplace HDP | CDH | MapR Azure Data Lake Analytics Virtual Machines Managed Clusters Big Data as-a-service Azure HDInsight Frictionless & Optimized Spark clusters Azure Databricks BIG DATA ANALYTICS Reduced Administration B I G D ATA I N M I C R O S O F T A Z U R E Azure Data Lake Store Azure Storage BIG DATA STORAGE
  • 17. Azure Databricks How to Try It Out?