Six Data Quality Dimensions to Get Your Data AI-Ready
TDAN.com
by Allison Connelly
14h ago
If you look at Google Trends, you’ll see that the explosion of searches for generative AI (GenAI) and large language models correlates with the introduction of ChatGPT back in November 2022. GenAI has brought hope and promise for those who have the creativity and innovation to dream big, and many have formulated impressive and pioneering ..read more
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The End of Agile – Part 4 (Lessons from Agile)
TDAN.com
by Larry Burns
14h ago
In my first article, I laid out the basic premise for this series: an examination of how Agile has gone from the darling of the application development community to a virtual pariah that nobody wants to be associated with, and an exploration of the very important question of what we should replace it with. We ..read more
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Data Speaks for Itself: Is Metadata Data?
TDAN.com
by Dr. John Talburt
14h ago
Well, of course, metadata is data. Our standard definition explicitly says that metadata is data describing other data. So why would I even ask this question in the article title? The reason I ask it is because we seem to think about and manage metadata as somehow different than “normal data” such as business operations ..read more
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A Step Ahead: IoT Data Characteristics — Seven Vs
TDAN.com
by The MITRE Corporation
14h ago
IoT (Internet of Things) incorporates many new and innovative technologies, such as sensors, smart devices, machine-to-machine communication, networking, advanced computing, and data analytics. One of the keys in the success of IoT is the data that flows underneath these technologies. Naturally, the IoT sensors and devices generate a huge amount of data automatically and continuously ..read more
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Master Data Match Rules
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by Mark Horseman
14h ago
As part of a master data management (MDM) implementation, a series of rules must be implemented to determine if two records refer to the same real-world entity that they represent. In the world of MDM, this is often referred to as the golden record, and master data match rules identify when two should become one.  Introduction  ..read more
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New Gartner Category Impacts Data Governance Professionals
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by Myles Suer
14h ago
With the latest SEC developments lighting a fire under the feet of companies and their executives, data governance is increasingly a front-line imperative. The shift is dramatic, with firms now mandated to report material cybersecurity incidents promptly, a move that ties the knot even tighter between cybersecurity and data governance. As highlighted in the “Data ..read more
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The End of Agile – Part 3 (What Is Agile Really?)
TDAN.com
by Larry Burns
2w ago
In the first article, I laid out the basic premise for this series: an examination of how Agile has gone from the darling of the application development community to a virtual pariah that nobody wants to be associated with, and an exploration of the very important question of what we should replace it with. We ..read more
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Data Lifecycle Management: Optimizing Data Storage, Usage, and Disposal
TDAN.com
by Ainsley Lawrence
2w ago
The use of data worldwide for business and recreation has exploded in the last decade, with an estimated 328.77 million terabytes of data created every single day globally. In 2024, experts predict that nearly 120 zettabytes of new data will be created. All of this data creation has also created a substantial storage problem for ..read more
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Crossing the Data Divide: AI Data Assistants — A Data Leader’s Force Multiplier
TDAN.com
by John Wills
2w ago
The focus of my last column, titled Crossing the Data Divide: Data Catalogs and the Generative AI Wave, was on the impact of large language models (LLM) and generative artificial intelligence (AI) and how we disseminate knowledge throughout the enterprise and the future role of the data catalogs. Spoiler alert if you have not read ..read more
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Data Governance Made Simple
TDAN.com
by William Burkett
2w ago
Those of us in the field of enterprise data management are familiar with the many authors contributing their knowledge and expertise to the data management body of knowledge.[1] We are also very familiar with the many, varied, and often conflicting ways in which data management terms are used. “Data architecture,” “data integration,” and even terms ..read more
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