Choosing the Optimal Processing Framework for an AWS Data Lake

September 26th, 2018

As more organizations migrate to the cloud to take advantage of the cost efficiency, resiliency, scalability and flexibility that comes along with it; they’re finding the number of data processing options are staggering. Should they choose Spark over Presto? How about Redshift Spectrum over Athena?

Each have their own unique capabilities and might not be suitable for every scenario. Choosing the correct one can have a direct impact on an organization’s bottom line.

Join Raj Rana, a Senior Solution Architect at Zaloni, as he discusses what it takes to successfully deploy the optimal AWS processing frameworks for a variety of situations.

Topics covered include:
– Current offerings in AWS
– Pricing models of each service
– What fits where? – considerations when choosing a processing framework


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