Download the slides here>> About the Webinar Data and analytics are one of the leading drivers for Data Architecture, according to recent DATAVERSITY surveys. With the myriad of technical options available, what is the best technical architecture to support today’s advanced analytics and reporting needs? Does the star schema still have a place? This […]
Data-Ed Webinar: Strategy Is Where Data Architecture and Data Governance Collide
Download the slides here>> About the Webinar While “collide” is perhaps a strong term to use to describe the key area where Data Architecture and Data Governance interact, it does provide motivation to perhaps calm the traffic and avoid further collisions. In order to harmoniously interact, architecture and governance must literally be working from […]
DAS Webinar: Best Practices in Metadata Management
Download the slides here>> About the Webinar Metadata is hotter than ever, according to a number of 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 around key data assets. At the same time, […]
DAS Webinar: Data Quality Best Practices
Download the slides here>> This webinar is sponsored by: About the Webinar Tackling Data Quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many Data Quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process, and technology. Join […]
DAS Webinar: Artificial Intelligence and Machine Learning – Building the Right Architectural Foundation
Download the slides here>> About the Webinar Artificial intelligence (AI) and machine learning (ML) are increasing in popularity as more organizations are looking to become more data-driven. To support strong AI/ML models and algorithms, accurate and timely data is needed, supported by a strong Data Architecture. Join this webinar to understand how to create […]
Data-Ed Webinar: Conceptual vs. Logical vs. Physical Data Modeling
Download the slides here>> About the Webinar A model is developed for a purpose. Understanding the strengths of each of the three Data Modeling types will prepare you with a more robust analyst toolkit. The program will describe modeling characteristics shared by each modeling type. Delegates will be able to trace model components as […]
DAS Webinar: Why You Need Data Management – Getting Executive Buy-In
Download the slides here>> This webinar is sponsored by: About the Webinar Becoming a data-driven organization is an increasingly important goal for organizations across all industries. But while the need for analytics, business intelligence (BI), and artificial intelligence (AI) is often quickly apparent, the “back end” of Data Management is often a harder sell. […]
DAS Webinar: How Do Data Governance and Data Architecture Support Each Other?
Download the slides here>> About the Webinar The definition of Data Governance can vary, depending on the audience. To many, Data Governance consists of committees and stewardship roles. To others, it focuses on technical Data Management and controls. Holistic Data Governance combines both these aspects, and a robust Data Architecture can be the “glue” […]
DAS Webinar: Master Data Management – Aligning Data, Process, and Governance
Download the slides here>> About the Webinar Master Data Management (MDM) provides organizations with an accurate and comprehensive view of their business-critical data such as customers, products, vendors, and more. While mastering these key data areas can be a complex task, the value of doing so can be tremendous – from real-time operational integration […]
ADV Webinar: Competitive Analytic Architectures – Comparing the Data Mesh, Data Fabric, Data Lakehouse, and Data Cloud
Download the slides here>> This webinar is sponsored by: About the Webinar In this webinar, we’ll look at some Data Architecture practices that have emerged in the past few years and are being consciously worked into many enterprise data programs. These are keepers and it will be required that we move towards them, so […]