Spark: An Operating System for Data – for Real Time Insights

What is Spark?

Apache® Spark™ is an open-source cluster computing framework with in-memory processing to speed analytic applications up to 100 times faster compared to technologies on the market today. Developed in the AMPLab at UC Berkeley, Apache Spark can help reduce data interaction complexity, increase processing speed and enhance mission-critical applications with deep intelligence.

Apache® Spark™ is an open-source cluster computing framework with in-memory processing to speed analytic applications up to 100 times faster compared to technologies on the market today. Developed in the AMPLab at UC Berkeley, Apache Spark can help reduce data interaction complexity, increase processing speed and enhance mission-critical applications with deep intelligence.

Highly versatile in many environments, Apache Spark is known for its ease of use in creating algorithms that harness insight from complex data. Spark was elevated to a top-level Apache Project in 2014 and continues to expand today.

 

 

In this 9 minute video, Beth Smith, IBM GM how the next decade belongs to Data and how to accelerate innovation with industry examples.

Spark = Analytics Operating System

 

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Accelerating Innovation with Spark

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Importance of Data driven Culture

 

 

In this 12 minute video, Gloria Lau (Timeful acquired by Google), talks about data-driven culture and how get the best insights by engaging everyone in the organization.   PS: Spark makes it all easier and super fast.

 

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