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Data Warehouses Ascend to the Cloud
February 15, 2019
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HYPR is an influencer marketing platform focused on leveraging data to automate smart decision making and identify micro-influencers and activate them at scale. HYPR was sold to Julius in April 2020.
whitePaper | September 27, 2022
The product catalog is at the heart of any retail company- simply put it is the window into the list of all products that are for sale and their information. These days that information can be extensive- from name, dimensions, price (and per-store price) to images, videos, and third party reviews.
whitePaper | May 6, 2022
Every organization today recognizes the strategic value of generating actionable insights from their enterprise data.
whitePaper | September 2, 2022
This year, unlike previous years, we asked professionals the most difficult elements of a successful data strategy instead of the most important.
whitePaper | September 23, 2022
The Cisco HyperFlex™ HX Data Platform revolutionizes data storage for hyperconverged infrastructure deployments and makes Cisco HyperFlex Systems ready for your enterprise applications—whether they run in virtualized environments such as Microsoft Windows 2016 Hyper-V or VMware vSphere, in containerized applications using Docker and Kubernetes, or in your private or public cloud. Learn about the platform’s architecture and software-defined storage approach and how you can use it to eliminate the storage silos that complicate your data center.
whitePaper | May 26, 2022
Since their invention in 1970 by Edgar Codd, relational databases have served as the default data store for almost every IT organization, large or small. Today, the most iconic and familiar relational databases include IBM DB2, Oracle Database, Microsoft SQL Server, PostgreSQL, and MySQL.
whitePaper | April 1, 2021
Metadata is more important now than ever. New technologies have enabled businesspeople who have traditionally not been analysts to work with data. The consumerization of IT means people expect systems to be intuitive and require little training. With so many people using data to support so many kinds of decisions, it’s critical that your data is described, defined, and understood.
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