Ascend.io, the data automation cloud, today announced support for Amazon Redshift Serverless powered on Amazon Web Services, Inc. (AWS), a fully managed petabyte-scale cloud data warehouse. With support for Amazon Redshift Serverless, data teams can use the highly automated Ascend platform to quickly and seamlessly accelerate data engineering and analytics engineering workflows across their Amazon Redshift Serverless environment.
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Building on Amazon Redshift’s extensive machine learning and data analysis capabilities, Ascend’s Data Automation Cloud unifies the core capabilities of data engineering – data ingestion, transformation, delivery, orchestration, and observability – into a seamless experience. Backed by Ascend’s powerful DataAware™ intelligence, Ascend’s Data Automation Cloud analyzes and monitors end-to-end workflows, enhancing the movement of up to trillions of records by dynamically responding to changes in data, schema, and code within seconds.
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A recent survey found that 96% of data teams are at or over capacity, leading many organizations to turn to automation to help. The Ascend platform eliminates the need for complex code and siloed tools, empowering users to focus on building business and analytics workflows 10x faster. Ascend DataAware™ works in the background to enforce data integrity and enhance data workloads, reducing time spent on maintenance by up to 90%.
“Many of our customers are turning to Amazon Redshift Serverless to rapidly scale their data analytics initiatives,” said Sean Knapp, founder and chief executive officer at Ascend.io. “With our latest support for Amazon Redshift Serverless, Ascend users can now easily connect to and from Amazon Redshift’s fully managed data warehouse. This allows them to easily and rapidly scale their data analytics initiatives, while benefiting from Ascend’s full spectrum of data and analytics engineering automation capabilities.”
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