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Graph Databases vs. Key-Value Databases

Graph databases and key-value databases have very different features and are used for accomplishing different tasks. Key-value databases are streamlined and fast, but are limited and not as flexible. Graph databases, on the other hand, are very flexible and great for research, but not terribly fast. Both typically use a non-relational foundation. The two key […]

The Data-Centric Zero Trust Paradigm

Click to learn more about author Leonid Sandler. Traditional cybersecurity product categories separate data protection products from network security and cloud workload protection. The reasons go back to the history of the cybertechnology evolution and the major technology players’ spheres of influence. Ultimately, of course, the biggest motivation for any cybersecurity product across any of […]

Optimizing the Data Warehouse

The data warehouse, a relational database technology, makes all enterprise information actionable, and will continue to be prominent as a Data Architecture component. In the 2000s, a typical business would consolidate data from multiple relational databases, centralizing all this information through a data warehouse, and consequently streamlining business tasks. However, the business context has shifted […]

ADV Slides: Modern Analytic Data Architecture Maturity Modeling

ADV Slides: Modern Analytic Data Architecture Maturity Modeling from DATAVERSITY To view just the On Demand recording of this presentation, click HERE>> This webinar is sponsored by: About the Webinar Maturity frameworks have varying levels of Data Management maturity. Each level corresponds to not only increased data maturity, but also increased organizational maturity and bottom-line […]

ADV Webinar: Modern Analytic Data Architecture Maturity Modeling

To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Maturity frameworks have varying levels of Data Management maturity. Each level corresponds to not only increased data maturity, but also increased organizational maturity and bottom-line ROI. There are recommended targets to achieve an effective information management program. […]

Data Virtualization Use Cases

Data virtualization, in a nutshell, utilizes data integration without replication. In this process, a single “virtual” data layer is created to provide data services to multiple users and applications at the same time. Why Data Virtualization Is a Necessity for Enterprises explains how data virtualization helps tackle data movement challenges by making a virtual dataset […]

The Future of Data Architecture

Anthony J. Algmin believes Data Architecture is moving from a time of chaos and tangles into something more clean and organized. Speaking at the DATAVERSITY® Data Architecture Online Conference, Algmin looked at past predictions, current hot topics, and predictions for the future. He is the Founder and CEO of Algmin Data Leadership. A Quick Look […]

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