Data Modeling Fundamentals from DATAVERSITY To view the on-demand recording from this presentation, click HERE>> About the Webinar Because every organization produces and propagates data as part of their day-to-day operations, data trends are becoming more and more important in the mainstream business world’s consciousness. For many organizations in various industries, though, comprehension of this development […]
Better Data Modeling with Lean Methodology
The process used today in systems development started with principles developed for assembly lines in the 1950s, when manufacturers wanted a more disciplined approach to producing goods and services.Products would come off an assembly line, they’d be inspected, defects would be found, and would be sent back to rework or start from scratch. This process […]
The Fundamentals of Deep Reinforcement Learning
Reinforcement Learning (RL), a “niche” Machine Learning technique, has surfaced in the last five years. In context-based decision making, Reinforcement Learning helps the machine take action-provoking decision making through a trial-and-error approach to achieve the optimal algorithmic model for a situation. Furthermore, the machine is trained through a reward/penalty-based feedback mechanism, the goal of which […]
Data Governance Trends in 2022
Way back in the early 2000s, Data Governance wasn’t really much of a thing. There were a few really early pioneers that were doing Data Governance, and they were laying the groundwork, but governance was not a recognized capability. Companies who did see some value in Data Governance were primarily focused on the benefit to […]
Webinar: You Can’t Have Best in Class Governance Without Best in Class Data Lineage
To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Without a complete and accurate understanding of how data flows throughout the organization, it is extremely difficult to establish the processes and metrics necessary for a successful data governance program. Best-in-class data lineage that provides multi-layered views […]
Slides: You Can’t Have Best in Class Governance Without Best in Class Data Lineage
You Can’t Have Best in Class Governance Without Best in Class Data Lineage from DATAVERSITY To view the on-demand recording from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Without a complete and accurate understanding of how data flows throughout the organization, it is extremely difficult to establish the processes and metrics […]
A Brief History of Deep Learning
Deep Learning, is a more evolved branch of machine learning, and uses layers of algorithms to process data, and imitate the thinking process, or to develop abstractions. It is often used to visually recognize objects and understand human speech. Information is passed through each layer, with the output of the previous layer providing input for […]
Webinar: Effective BI Portal Design Patterns to Drive High User Engagement
To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar A well-designed BI Portal can be transformational by dramatically boosting user engagement with analytics. Providing a highly tailored user experience helps users cut through the clutter in the reporting environment and engage with the right analytics to […]
Slides: Effective BI Portal Design Patterns to Drive High User Engagement
Effective BI Portal Design Patterns to Drive High User Engagement from DATAVERSITY To view the on-demand recording from this presentation, click HERE>> This webinar is sponsored by: About the Webinar A well-designed BI Portal can be transformational by dramatically boosting user engagement with analytics. Providing a highly tailored user experience helps users cut through the clutter […]
A Brief History of Data Architecture: Shifting Paradigms
Data Architecture is a set of rules, policies, and models that determine what kind of data gets collected, and how it gets used, processed, and stored within a database system. Data integration, for example, is dependent on Data Architecture for instructions on the integration process. Without the shift from a programming paradigm to a Data […]