Click to learn more about author Thomas Frisendal. I realized that I needed to know what the constituent parts of data models really are. Across the board, all platforms, all models etc. Is there anything similar to atoms and the (chemical) bonds that enables the formation of molecules? My concerns were twofold: As part of […]
Press Release: Now Accepting Speaking Proposals for the 2019 Data Architecture Summit
February 13, 2019 – DATAVERSITY Education, LLC opened the Call for Presentations today for the third annual Data Architecture Summit (DAS), which will be held October 14-17, 2019, at the Westin Chicago River North in Chicago, Ill. Proposals must be received by March 29 in order to be considered. For more event details and speaker […]
Data Modeling Trends in 2019
IT technologies are rapidly changing our lives. Whether it’s your daily grocery purchase, monthly bill payments, booking railway tickets, or receiving online healthcare consultation, data technologies have penetrated every business model, large, medium, or small. Recent cloud platforms, coupled with Big Data and IoT technologies, have ushered in a new era of “smart technologies” powered […]
2019: Full Scale Schema Modeling
Click to learn more about author Thomas Frisendal. Using Concerns to Navigate Data Architectures Welcome to 2019! This is the year that offers us a unique opportunity to re-architect the way we think schemas, data models and Data Architecture. We do indeed need to do some things better. The real world is full of concerns, […]
2018 DATAVERSITY Top 20
As we wrap up 2018 and prepare ourselves for 2019, it’s time to take a moment to review and reflect. And while in review, we take the opportunity to look at the content published, produced, and consumed over the last year. In looking at the top 20 published articles and blogs of the year, Machine […]
Monetizing Information? Show Me Your Data Model
Click to learn more about author Thomas Frisendal. I recently (finally) had the opportunity to read Doug Laney’s fine book about Infonomics. I have followed his work on this for years, because we share the ambition that data and information should be recognized as assets, just like factory equipment and trucks. Because data keep the […]
Trifacta Extends Data Preparation to DataOps with New Functionality for Data Engineers
A new press release states, “Trifacta, the global leader in data preparation, today announced a new set of capabilities designed to enable data engineers within data operations (DataOps) practices to more efficiently develop, test, schedule and monitor data preparation pipelines in production. With RapidTarget, Trifacta customers can utilize an existing data model to intelligently guide […]
Data Modeling vs. Data Architecture
In the second edition of the Data Management Book of Knowledge (DMBOK 2): “Data Architecture defines the blueprint for managing data assets by aligning with organizational strategy to establish strategic data requirements and designs to meet these requirements.” Another way to look at it, according to Donna Burbank, Managing Director at Global Data Strategy: “Data […]
Five Tips to Completing Analytics’ Infamous “Last Mile” in 2019
Click to learn more about author Mike Lamble. In 2017, the term “Data Scientist” was LinkedIn’s fastest growing job title; yet, in the same year, McKinsey reported that less than 10 percent of Analytic Models that are developed actually make it to production where they can deliver ROI. The bottleneck lies in what industry insiders call […]
Domino Data Lab Announces Domino 3.0 to Power Model-Driven Organizations
According to a new press release, “Domino Data Lab, provider of an open data science platform, today announced Domino 3.0 featuring Domino Launchpad, a module designed to help companies maximize the impact of their data science investments by addressing the operational challenges and bottlenecks they face getting models into production. ‘Following the introduction of the […]