Amazon EMR
Accelerate data transformation & time to insights
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Processing vast amounts of data and accelerating time to insights while saving on costs can be a difficult undertaking. Amazon Elastic MapReduce (EMR), a web service, enables you to transform and visualize data with limited compute capacity and low costs. EMR, when integrated with other AWS services like EKS and EC2 helps run and scale big data workloads like Apache Spark, Presto and Hive.
Amazon EMR Benefits
Key Benefits of Amazon EMR
Amazon EMR makes it easy to transform large big data workloads with cost efficiency, security and scalability
Ease and Speed
Make setup, configuration and provisioning easy and launch clusters within minutes
Scalability
Resize clusters to add or remove instances for changing workload
needs
Cost Savings
Pay per second & reduce costs by purchasing Reserved Instances or Spot Instances
Security
Secure your clusters and data with IAM, Encryption, VPC, Monitoring & Security groups
For all your Data Processing and Transformation needs
EMR Application Areas
Amazon EMR Use Cases
Save Drastically on Costs
Amazon EMR when coupled with Amazon S3 enables running jobs only within a required span of time leading to major cost savings
Scale flexibly with Autoscaling
Clusters can be resized to suit changing compute needs and Spot instances can be added or removed for workloads of different sizes
Process Data Faster at Low Costs
Long queue wait times can be cut down drastically by running data processes on parallel EMR clusters and lead to 40-50% cost efficiency
Process Data Faster at Low Costs
Long queue wait times can be cut down drastically by running data processes on parallel EMR clusters and lead to 40-50% cost efficiency
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Digital Entertainment
Big Data and Analytics
Dalmia Cement (Bharat) Ltd
Big Data and Analytics
Healthcare
Big Data and Analytics
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