![]() ![]() ![]() With Amazon EMR Serverless, customers can simply specify the framework they want to run, and Amazon EMR Serverless automatically provisions, manages, and scales the necessary compute and memory resources as workload demands change. Serverless big data analytics with Amazon EMR Serverless: Tens of thousands of customers use Amazon EMR to run open-source frameworks like Apache Spark and Hive for large-scale distributed data processing jobs, interactive SQL queries, and machine learning applications. Amazon EMR supports the most big data frameworks in the cloud, enabling customers to run big data applications and petabyte-scale data analytics faster, and at less than half the cost of on-premises solutions.With the new serverless offerings for Amazon EMR, Amazon MSK, and Amazon Redshift, AWS offers the broadest set of serverless analytics capabilities in the cloud, making it even easier for customers to lower costs, expand analytics to more users, and maximize their data’s value. Many customers have since adopted serverless technologies on AWS-including Amazon Kinesis Data Streams for real-time data streaming, AWS Glue for data integration, and Amazon QuickSight for interactive dashboards and visualizations-to take advantage of benefits like automatic provisioning, on-demand scaling, and pay-for-use pricing. To remove the complexity of scaling and managing infrastructure, AWS introduced the concept of serverless, event-driven computing in 2014. While many customers appreciate the fine-grained control these services offer, a subset of customers with highly variable or intermittent workloads would prefer to have AWS manage the underlying infrastructure by automatically adding or subtracting resources based on application demand. “With these new serverless options, customers can run even the most variable and intermittent analytics workloads and expand the use of analytics throughout their organizations without worrying about provisioning or scaling capacity-or incurring excess cost.”ĪWS customers choose from a wide variety of purpose-built analytics services to derive maximum value from their organizations’ data, including Amazon EMR for processing vast amounts of unstructured data (using open-source big data frameworks like Apache Spark and Hive), Amazon MSK for ingesting real-time data streams, and Amazon Redshift for data warehousing. “By offering the most serverless options for data analytics in the cloud-including options for data warehousing, big data processing, real-time data analysis, data integration, interactive dashboards and visualizations, and more-we are making it even easier for customers to maximize the value of their data to drive innovation, improve customer experiences, and make better decisions faster,” said Swami Sivasubramanian, vice president of Database, Analytics, and Machine Learning at AWS. ![]() There are no upfront commitments or additional costs to use Amazon EMR Serverless, Amazon MSK Serverless, and Amazon Redshift Serverless, and customers only pay for the precise capacity needed for their analytics workloads. Along with other serverless analytics offerings from AWS such as Amazon QuickSight for business intelligence and AWS Glue for data integration, the new offerings announced today make it significantly easier and more cost-effective for customers to modernize their infrastructure and analyze vast amounts of data without worrying about capacity planning or incurring excess costs by over-provisioning for peak demand. Today’s announcements include new serverless offerings for Amazon EMR to enable customers to run analytics applications using open-source big data frameworks (Apache Spark and Hive) without having to manage the underlying infrastructure, Amazon Managed Streaming for Apache Kafka (Amazon MSK) to simplify real-time data ingestion and streaming, and Amazon Redshift to allow customers to run high-performance data warehousing and analytics workloads on petabytes of data without having to manage clusters. 12, 2022- Amazon Web Services, Inc. (AWS), an , Inc. company (NASDAQ: AMZN), today announced the general availability of three new serverless analytics offerings that make it even easier for customers to analyze vast amounts of data without having to configure, scale, or manage the underlying infrastructure. Informatica, NextGen Healthcare, and Huron among customers and partners using new serverless analytics options New serverless options for Amazon EMR, Amazon MSK, and Amazon Redshift help customers analyze vast amounts of data without having to configure, scale, or manage the underlying infrastructure ![]()
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