Self-service Analytics BI is often quoted by many - ie, allow users to discover and access data without having to ask IT to create a data mart, or by allowing users to directly export/copy the data from the data sources themselves into their analytics tools and systems. The challenge is not just to provide access to the data – even from Excel this can be done - but to do this in real time without creating processing overhead, while getting trusted data, with the best response time possible, in a managed, governed and secure way in order for these users to trust the output of the analysis.
Data Virtualization provides a data access platform that allows users to access the data they need from multiple data sources, when they need it, and with the best possible response time. In addition, a Data Marketplace built on top of this proven technology enables Self Service Analytics by exposing consistent and governed data sets to be discovered by users, providing the trusted foundation for a successful Self-Service Analytics initiative.
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Container and Kubernetes adoption at enterprises have skyrocketed as part of the emergence of cloud-native technologies. Typically, enterprises will have multiple Kubernetes clusters to avoid service outages and to manage security issues and other concerns. As the number of microservices and mesh deployments grows, we need a tool to manage traffic between services efficiently.
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AWS
Maintaining structured compliance and governance in the cloud can be challenging. Join us to learn how AWS Config can help you track changes to the configuration of your AWS resources and check for compliance with best practices and policies. Learn about the AWS Config multi-account, multi-Region data aggregation capability.
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Cadeon
Ten times faster, TIBCO Data Virtualization 8 sets the standard for big data scale data virtualization with unique and significant advancements in scalability, performance, and workload management.Watch this webinar to hear about the exciting new features in the upcoming release of TIBCO Data Virtualization. Learn about the new massively parallel processing engine (MPP) that enables big data scale workloads, federating queries across data lakes, data marts, and your enterprise data warehouse. Other exciting new features include granular workload management, new data adapters, and developer productivity enhancements for ease of use.
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