Smart Data Slides: Machine Learning – Case Studies from DATAVERSITY To view the On Demand recording of this presentation, click HERE>> About the Webinar The state of the art and practice for machine learning (ML) has matured rapidly in the past 3 years, making it an ideal time to take a look at what works […]
DI&A Slides: Data-Centric Development
DI&A Slides: Data-Centric Development from DATAVERSITY To view the On Demand recording, click HERE>> About the Webinar Efforts to improve computer software have led to the general use of certain methodologies, such as the Agile System Development Lifecycle, that are extremely focused on software coding. Even common technologies used for Big Data analytics, such as […]
DI&A Webinar: Data-Centric Development
To view just the slides from this presentation, click HERE>> About the Webinar Efforts to improve computer software have led to the general use of certain methodologies, such as the Agile System Development Lifecycle, that are extremely focused on software coding. Even common technologies used for Big Data analytics, such as Hadoop and commodity disc […]
LDM Webinar: Data Modeling & Metadata Management
To view just the slides from this presentation, click HERE>> About the Webinar Metadata management is critical for organizations looking to understand the context, definition and lineage of key data assets. Data models play a key role in metadata management, as many of the key structural and business definitions are stored within the models themselves. […]
LDM Slides: Data Modeling & Metadata Management
Data Modeling & Metadata Management from DATAVERSITY To view the On Demand recording of this presentation, click HERE>> About the Webinar Metadata management is critical for organizations looking to understand the context, definition and lineage of key data assets. Data models play a key role in metadata management, as many of the key structural and […]
Smart Data Webinar: Streaming Analytics for IoT-Oriented Applications
To view just the slides from this presentation, click HERE>> About the Webinar The growth of connected devices on the Internet of Things (IOT) is already creating huge volumes of sensor- and system-oriented data. The pace will no doubt continue to increase for years to come. Finding and leveraging opportunities from this data faster and […]
Smart Data Slides: Streaming Analytics for IoT-Oriented Applications
Streaming Analytics for IoT-Oriented Applications from DATAVERSITY To view the On Demand recording of this presentation, click HERE>> About the Webinar The growth of connected devices on the Internet of Things (IOT) is already creating huge volumes of sensor- and system-oriented data. The pace will no doubt continue to increase for years to come. Finding […]
Data-Ed Slides: Implementing the Data Management Maturity Model (DMM) – Within, Without, With-Shake-It-All-About
Data-Ed Webinar: Implementing the Data Management Maturity Model (DMM) – Within, Without, With-Shake-It-All-About from DATAVERSITY To view the On Demand recording of this presentation, click HERE>> About the Webinar The Data Management Maturity (DMM) model is a framework for the evaluation and assessment of an organization’s data management capabilities. This model—based on the Capability Maturity […]
Data-Ed Webinar: Implementing the Data Management Maturity Model (DMM) – Within, Without, With-Shake-It-All-About
To view just the slides from this presentation, click HERE>> About the Webinar The Data Management Maturity (DMM) model is a framework for the evaluation and assessment of an organization’s data management capabilities. This model—based on the Capability Maturity Model pioneered by the U.S. Department of Defense for improving software development processes—allows an organization to […]
DI&A Slides: The Role of a Data Scientist (Interview with a CDS)
DI&A Slides: The Role of a Data Scientist (Interview with a CDS) from DATAVERSITY To view the On Demand recording of this presentation, click HERE>> About the Webinar What does a Data Scientist actually do? Much of the discussion has focused on the difficulties associated with hiring and retaining Data Scientists. What is less clear, […]