The term “data literacy” refers to the ability to extract meaning from data. IDC, the global market intelligence expert, has predicted a “ten-fold increase in worldwide data” by 2025. It’s no wonder many data-driven organizations are in a race for an enterprise-wide data literacy initiative, with the vision of transforming their employees into data-literate workers. Global […]
Writing a Data Management Plan
A Data Management plan (DMP) is normally a one- or two-page summary, outlining how data will be handled during a research project, and after it has been completed. The goal of a Data Management plan is to consider the many aspects of Data Management (such as data preservation, metadata generation, and analysis) before the project begins. It […]
Data Analytics Tools: Features and Functions
Today’s business environment is inherently data-driven. Businesses need data to stay competitive and grow their market presence – data is regarded as the “currency” of the modern world and the key to the future. Data analytics, in turn, is the process of discovering trends and patterns in large amounts of data to make intelligent decisions. It […]
Machine Learning Algorithms
Machine learning algorithms establish rules and processes that are used while processing a specific problem. These algorithms analyze data to predict the probable results of certain behaviors. As new data is received, these algorithms learn, optimizing and improving their responses using feedback from previous performances. Combinations of machine learning algorithms can produce artificial intelligence (AI). Machine […]
Data Mesh Architecture Fundamentals
A data mesh architecture is a network design that allows data to be routed across multiple paths between network nodes. Whereas traditional network designs routed data along a single path, data mesh architecture enables data to be routed simultaneously across multiple paths between nodes. This architecture provides several advantages over other architectures, such as a hub-and-spoke […]
DAS Webinar: Best Practices in Metadata Management
To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Metadata is hotter than ever, according to several recent DATAVERSITY surveys. More and more organizations are realizing that in order to drive business value from data, robust metadata is needed to gain the necessary context and lineage […]
DAS Slides: Best Practices in Metadata Management
DAS Webinar: Best Practices in Metadata Management from DATAVERSITY To view the on-demand recording from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Metadata is hotter than ever, according to several recent DATAVERSITY surveys. More and more organizations are realizing that in order to drive business value from data, robust metadata is […]
Slides: How to Use a Semantic Layer to Deliver Actionable Insights at Scale
How to Use a Semantic Layer to Deliver Actionable Insights at Scale from DATAVERSITY To view the on-demand recording from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Learn about using a semantic layer to enable actionable insights for everyone and streamline data and analytics access throughout your organization. This session will […]
Webinar: How to Use a Semantic Layer to Deliver Actionable Insights at Scale
To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Learn about using a semantic layer to enable actionable insights for everyone and streamline data and analytics access throughout your organization. This session will offer practical advice based on a decade of experience making semantic layers work […]
Primary Data Modeling Techniques
Data Modeling techniques are used to create a map or blueprint showing how an organization gathers and processes data. Data models help to define the logical structure for an organization’s data. Data Modeling techniques are necessary for businesses wanting to maximize and streamline their ability to analyze and understand data. While developing the model, the […]