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Cost Optimization for Apache Hadoop/Spark Workloads with Amazon EMR

Explore how Amazon EMR can radically reduce operational costs, scale flexibility for your legacy data applications

On-Demand Webinar

In the midst of the global slowdown, on-premises Apache Hadoop/Spark clusters are among the top sources of financial pressure for businesses. IT organizations seek new ways to reduce spend while still meeting demand, to keep their legacy data applications up and running.

Join Provectus & AWS to learn how organizations leverage Amazon EMR to optimize cost and achieve greater business efficiency.

Speakers:

Stepan Pushkarev, Chief Technology Officer, Provectus
Pritpal Sahota, Technical Account Manager, Provectus
Nirav Shah, Senior Solutions Architect, AWS
Perry Peterson, Business Development Manager, AWS

Who should attend:

Technology executives & decision makers
Manager-level tech roles
Data engineers & Data scientists
Developers

Let’s strategize on cloud options for your legacy data applications, big data and analytics workloads!

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On-Demand Webinar

In the midst of the global slowdown, on-premises Apache Hadoop/Spark clusters are among the top sources of financial pressure for businesses. IT organizations seek new ways to reduce spend while still meeting demand, to keep their legacy data applications up and running.

Join Provectus & AWS to learn how organizations leverage Amazon EMR to optimize cost and achieve greater business efficiency.

Speakers:

Stepan Pushkarev, Chief Technology Officer, Provectus
Pritpal Sahota, Technical Account Manager, Provectus
Nirav Shah, Senior Solutions Architect, AWS
Perry Peterson, Business Development Manager, AWS

Who should attend:

Technology executives & decision makers
Manager-level tech roles
Data engineers & Data scientists
Developers

Let’s strategize on cloud options for your legacy data applications, big data and analytics workloads!