Data lineage tracks and documents how data flows through systems and processes within an organization. Data professionals use automated tools and human oversight to track this movement, creating clear guidance and visualizations that support data quality and compliance. Through this mapping process, organizations trace data flows from source to destination across users and systems. The resulting documentation […]
Fundamentals of Data Compliance
Data compliance delivers benefits to organizations far beyond simply avoiding potential fines for not fulfilling regulatory requirements for collecting, handling, securing, and safely disposing of sensitive data…
Data-Ed Webinar: Reference Data vs. Master Data Management
Download the slides here >> About the Webinar Data can accumulate and become unusable or outdated without proper maintenance. Reference and master data management (MDM) is a popular approach to effectively manage not only the data but also the supporting architecture for processing it. This webinar introduces MDM as a strategic method to enhance and […]
Women in Data: Meet Prosasty Chaudhuri
The latest installment in our Q&A series with women leaders in data features Prosasty Chaudhuri, CEO and founder of Cuspide Data. (Read our previous Q&A here.) Prosasty Chaudhuri spent over two decades working in the data management industry before founding Cuspide Data last year. Previously, she served as the chief data officer for several leading financial institutions, spearheading […]
Advances in Data Lakehouses
Data lakehouses encompass the best of data lakes and data warehouses, making it possible to handle all types of data or analysis. Its architecture allows for versatile data storage solutions, supporting structured data like databases, unstructured data such as text and multimedia, and semi-structured formats like JSON. It incorporates real-time data processing, enabling on-the-fly analytics and insights. […]
Implementing Data Observability to Proactively Address Data Quality Issues
Data-driven decision-making is essential in all organizations, but using low-quality data can potentially be more harmful than using no data at all. Unreliable or outdated data can have huge negative consequences for even the best-laid plans, especially if you’re not aware there were issues with the data in the first place. That’s why data observability […]
Thriving in the “Second Wave” of Big Data Modernization
The idea of managing data at tremendous scale is hardly new. Most businesses embraced the concept of “big data” and associated technologies (like data lakes) at least a decade ago. However, the adoption of modern AI technology has introduced major new challenges to the big data world – so many, in fact, that it feels […]
Data Sips: Interview with Shannon Kempe
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 final episode of the Data Sips series features Shannon Kempe, DATAVERSITY’s chief digital officer, chatting with host Steve MacLauchlan, head of data at […]
How IT Leaders Can Fight Back Against Vendor Lock-In
Enterprise IT leaders are experiencing growing frustration with software vendors who wield excessive control over their technology roadmaps. From restrictive licensing agreements to forced upgrades and shifting support models, IT departments often find themselves at the mercy of vendors rather than in control of their own digital strategies. With so-called vendor lock-in on the rise, […]
Fundamentals of Data Preparation
Data is often called the raw material of the information age, and it does share characteristics with the resources that power other industries. For example, imagine trying to make a car out of unrefined iron ore. A lot of processing happens between the mine and the factory. Data is no different. In its “raw” form, […]