Customers currently managing their own Amazon Redshift clusters can easily move them to the new serverless option using the Amazon Redshift console or the application programming interface (API) without making changes to their applications. The new serverless option for Amazon Redshift now makes it even easier to get insights from data quickly without the need to set up, manage, or scale clusters. Amazon Redshift offers up to 3x better price performance and up to 10x better query performance than other enterprise cloud data warehouses, providing customers with faster data analytics at lower cost.
#Aws redshift emr msk how to#
These services offer powerful analytics capabilities for a variety of use cases, but there is a subset of customers who want to benefit from AWS analytics services and don’t want to put in the time needed to learn how to manage the underlying clusters or servers. Now, customers can run analytics workloads at any scale and quickly deliver insights to the people and applications that need it-without having to even think about managing infrastructure.”ĪWS customers use a wide variety of purpose-built analytics services to make data-driven decisions, including Amazon Redshift for data warehousing, Amazon MSK for processing real-time data streams, and Amazon EMR for running Apache Spark, Hive, Presto, and other open-source big data frameworks. “This makes it significantly easier and more cost effective for customers to modernize their infrastructure and unify vast amounts of data from a variety of endpoints. Today, we are helping customers reduce the complexity of managing their analytics infrastructure by offering serverless versions of three popular analytics services,” said Rahul Pathak, Vice President of Analytics at AWS.
“Some customers want fine-grained control over every aspect of their workloads, but other customers have asked AWS to take the guesswork out of managing their analytics infrastructure so they can move faster and expand the use of analytics in their organizations. Amazon EMR now provides a serverless option for customers to run analytics applications using open-source big data frameworks like Apache Spark, Hive, and Presto without having to provision, manage, and scale the underlying infrastructure. A new serverless option for Amazon Managed Streaming for Apache Kafka (Amazon MSK) quickly scales resources to vastly simplify real-time data ingestion and streaming. A new serverless option for Amazon Redshift automatically sets up and scales resources in seconds, giving customers the ability to run high-performance analytics workloads on petabytes of data without having to manage data warehouse clusters. company (NASDAQ: AMZN), announced three new serverless options for its suite of analytics services that make it easier to analyze data at any scale without having to configure, scale, or manage the underlying infrastructure.
30, 2021- Today, at AWS re:Invent, Amazon Web Services, Inc. (AWS), an, Inc. Roche, Riot Games, and Intuit among customers using new serverless analytics options New serverless options for Amazon Redshift, Amazon MSK, and Amazon EMR help customers analyze data at scale without having to configure, scale, or manage the underlying infrastructure
0 kommentar(er)
