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 […]
Establishing Connections and Putting an End to Data Silos
The global pandemic and the move to remote and hybrid workplaces have highlighted the importance of connections in an increasingly disconnected world. While the traditional office setting has become dispersed, business leaders must still connect everyone and everything within their organization. They must connect not only systems, data, and applications to each other, but also to their […]
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 […]
Why Data Access Governance Is Key to Going Faster
Every day, businesses create, collect, compile, store, and share exponentially growing amounts of data. When put to use effectively, sales teams can boost revenue, marketing can improve the customer experience, HR can keep employees happy, and so on. But we all know that cyberattacks are on the rise and evolving data privacy legislation has led to the […]
How Cloud and AI Are Creating Unprecedented Opportunities for Forward-Thinking Enterprises
Artificial intelligence (AI) and cloud computing have been around for a while and are the finest modern-day cognitive technologies, with 94% of the enterprises already using cloud services. Lately, some of the biggest tech giants have thought about the conglomeration of cloud and AI to create unprecedented business opportunities. The cloud AI market revenue was $5.2 billion in 2020 […]
Prioritizing Cybersecurity at the Leadership Level
Week after week, month after month, shareholder cyber lawsuits hit the news. Capital One settles for $190 million. A class-action lawsuit was filed against Ultimate Kronos Group for alleged negligence regarding a ransomware attack, identifying a poor cybersecurity system as the root problem. These two news items in recent months underscore the risks companies face in their ongoing war […]
3 Common Zero Trust Challenges – and How to Overcome Them
According to IBM, the average cost of a breach was $1.76 million less at organizations with a mature zero trust approach than those without. It’s understandable why this verify-first, trust-later mentality has gained steam over the last few years. And the reality is, that organizations don’t have much of a choice. The world saw an alarming […]
Implementing Unstructured Data Management in Today’s Multi-Vendor, Multi-Cloud Ecosystem
One of the challenges many organizations face is managing unstructured data’s impact within today’s diverse multi-cloud and multi-vendor infrastructure environments. For IT professionals, it can be difficult to know where to start, mainly because there are many storage technology companies with their own take on unstructured data. By separating data management into four key categories, however, it’s […]
Five Essential Data Architecture Principles
Data Architecture principles are a set of policies that govern the enterprise data framework with its operating rules for collecting, integrating, using, and managing data assets. The basic purpose of the Data Architecture principles is to keep the supportive data framework clean, consistent, and auditable. The overall enterprise Data Strategy is built around these principles. […]