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Infoworks Launches End-to-End Automated Big Data Warehousing Platform in the Cloud

By   /  September 29, 2017  /  No Comments

by Angela Guess

A recent press release states, “Infoworks.io Inc., the leader in automated Big Data warehousing, announced the availability of the Infoworks Cloud Big Data Warehouse, the first automated end-to-end data warehousing platform in the cloud that empowers enterprises to rapidly build and deploy big data use-cases in days instead of months. The Infoworks Cloud Big Data Warehouse enables enterprises to reduce management complexity of their big data infrastructure, improve time-to-value, and empower users to rapidly innovate. Infoworks provides complete data warehousing functionality on a single platform, from enterprise-to-cloud data ingestion and synchronization, data transformation, and the building of data models and cubes. The product is available as a fully managed platform on Microsoft Azure, Amazon AWS and Google Cloud Platform.”

The release continues, “Today, enterprises are looking to the cloud to increase flexibility and reduce complexity of data infrastructure. However, migrating existing use-cases or deploying new analytics use-cases on cloud platforms is complex, manually intensive and does not provide the performance or timely access to data required by business users. Automating the cloud big data warehouse empowers enterprises to rapidly migrate and implement analytics use-cases while gaining flexibility in cost and infrastructure requirements. ‘As more and more data is stored in big data platforms, enterprises are looking for products and services that help them manage their Hadoop-based data warehouses in the cloud or on premise, to reduce management complexity and improve the time to value,’ said Matt Aslett, research director, data platforms and analytics, 451 Research. ‘Infoworks is a strong addition to the data management sector, offering a combination of ease of use and end-to-end functionality for which customers would otherwise have to assemble a variety of point products and services’.”

Read more at Marketwired.

Photo credit: Infoworks

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