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Upcoming Webinars

Jan 23 DAS Webinar: Trends in Data Architecture

DATE: January 23, 2025 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees This webinar is sponsored by: About the Webinar With technological innovation and change occurring at an ever-increasing rate, it’s hard to keep track of what’s hype and what can provide…

Feb 11 Data-Ed Webinar: Data Modeling Essentials

DATE: February 11, 2025 TIME: 2:00 PM – 3:30 PM Eastern / 11:00 AM – 12:30 PM Pacific PRICE: Free to all attendees About the Webinar As organizations continue to produce and disseminate data through their daily operations, the significance of data trends is increasingly recognized in the business world. However,…

Latest Blogs by Industry Experts

How GenAI will Establish a New Inclusive Data Culture in 2025

Read more about author Prat Moghe. Generative AI (GenAI) is set to transform how businesses interact with data, fundamentally reshaping decision-making processes. By enabling capabilities such as natural language querying and intelligent data discovery, GenAI will empower non-technical users to access insights effortlessly.  Better yet, this question-led approach will simplify data accessibility, democratize insights, and foster a more inclusive data culture. As a result, generative AI will redefine enterprise operations…

Data Sips: Interview with InfoAdvisors’ Karen Lopez

Data Sips is a new video miniseries presented by Ippon Technologies and DATAVERSITY that showcases quick conversations with industry experts from last month’s Data Governance & Information Quality (DGIQ) Conference in Washington, D.C. The second episode of the series features Karen Lopez, senior project manager and architect at InfoAdvisors, chatting with host Steve MacLauchlan, head of data at Ippon. (Steve also hosts a longer version of the series called The…

It’s Essential – Verifying the Results of Data Transformations (Part 2)

Read more about author Wayne Yaddow. Test cases, data, and validation procedures are crucial for data transformations, requiring an understanding of transformation requirements, scenarios, and specific techniques for accuracy and integrity. Data transformations require complex testing due to their sophisticated logic, computations, and dependency on real-time data streams. This necessitates extensive test case design, representative data, automation tools, and robust validation procedures. Part 1 of this blog series explained the basic concepts…

The Virtualization Era: Opportunities, Challenges, and the Role of Hypervisors

Read more about author Jake Madders. The IT landscape is navigating a period of profound change. Virtualization, a cornerstone of modern computing, is at the heart of this evolution, enabling organizations to innovate, optimize resources, and scale efficiently. Yet, recent market disruptions, such as Broadcom’s acquisition of VMware in 2023, have created a stir in the virtualization industry. As businesses face shifting vendor strategies, escalating costs, and new licensing structures, a…

Recent Articles

Data Management Trends in 2025: A Foundation for Efficiency

eamesBot / Shutterstock In 2025, organizations face a pivotal moment in data management evolution. While core principles endure, their implementation is undergoing a radical transformation. Data management – the comprehensive collection of…

Data Observability 101

wan wei / Shutterstock Understanding data health involves monitoring and analyzing diverse aspects of data systems – referred to as data observability – to ensure optimal performance and reliability. Metrics are…

Data Architecture Trends in 2025

Yurchanka Siarhei / Shutterstock A modern data architecture is required to support the data-driven organization that every enterprise wants to be. Without a solid data architecture – composed of the…

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