The Future of Unstructured Data Processing

whitePaper | October 14, 2022

It’s no secret that to fuel data-driven decision-making your business needs exceptional insights. To create them, the right people need fast, easy access to trusted, quality data.

whitePaper | August 9, 2022

Data virtualization helps organizations access data across disparate sources and deliver a unified view of the data faster, cheaper, and using fewer resources than traditional data integration approaches. In this TEI, data virtualization delivered 83% reduction in time-torevenue and 65% decrease in delivery times over extract, transform, and load (ETL) processes.

whitePaper | January 11, 2023

The world of master data management (MDM) is a complicated place to navigate and its native speakers use a language sometimes only they themselves understand. It is packed with complex descriptions, esoteric lingo and acronyms.

whitePaper | August 25, 2022

The new PowerMax 2500 and 8500 storage systems with PowerMaxOS 10 feature some of the most advanced performance, data protection, data reduction, and data mobility servicing enterprise workloads and applications. The new PowerMax systems come with large DRAM for user data and persistent memory for metadata, end-to-end NVMe, 100 Gbit RDMA fabric, real-time machine learning, 64-bit native file services, seamless cloud mobility, and ability to deliver millions of IOPS at submillisecond latency.

whitePaper | May 27, 2021

In many organizations, we need more collaboration between businesses, analytic teams, application developers and IT operations. These teams often work with data in silos and end up duplicating efforts, failing to integrate, or missing opportunities to deliver value from data. In addition to siloed efforts, data scientists are also faced with ever-increasing volumes and speeds of data. And the reality is they’re expected to answer questions just as fast as - or faster than - before. It’s important that we’re using the right data and the right techniques to ensure optimal outcomes. Download this guide to learn more about SAS and open source.

whitePaper | September 1, 2022

Organizations often adopt a hybrid cloud strategy when deploying their first analytical solution to the cloud. The cloud combines sheer infinite scalability with consumption-based pricing. These are desirable attributes for analytical environments that require scalability and can be very expensive when scaled for maximum capacity over an extended period.