Amazon EMR provides the cloud big data solution for petabyte-scale data processing, interactive analytics, and machine learning with open-source frameworks such as Apache Hive, Apache Spark, and Presto. Amazon EMR runs big data applications and petabyte-scale data analytics faster than half the cost of on-premises solutions.
With Amazon EMR, you can get 2X faster time-to-insights with performance-optimized and open-source API-compatible versions of Hive, Spark, and Presto. Open source tools in EMR studio help to Easily develop, visualize, and debug your applications using EMR Notebooks. We can build applications using the latest open-source frameworks such as Amazon EC2 clusters, Amazon EKS, AWS Outposts, or Amazon EMR Serverless.
Integrating AWS EMR migration allows you to scale up or scale down, considering your business needs and preferences with flexible resource provisioning. Amazon EMR provides the most protected data clusters that you can expect. Big data optimization allows you ease to use, from access management to robust data pipelines
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Using statistical algorithms and predictive models, it performs large-scale data processing to uncover market trends, hidden patterns, and customer preferences.
Processing and extracting a variety of data sources and making them available for applications and users.
Analyze data in real-time streaming data sources to create highly available, long-running, and fault-tolerant streaming data pipelines.
Analyze data using open-source ML frameworks for large-scale model training, analysis, and reporting.
We deliver best-in-class solutions to our esteemed clients.
To handle large-scale data sets and database migrations
It allows users to rent virtual computers to run their own computer applications.
A cloud-powered business analytics service that quickly gets business insights from their data anytime on any device.
A category of business analytics focused on syncing data from your warehouse directly to your business tools.
It enables you to ingest, buffer, and process streaming data in real time to get insights in seconds or minutes instead of days and hours.
A computing service that runs code in reaction to events and automatically manages the computing resources needed by that code.
It is a leading cloud big data platform that makes it easy to operate, set up, and scale big data environments using open-source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, etc.
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