A recent press release reports, “Netreo, the award-winning solution for IT management and one of Inc. 5000’s fastest growing companies, today announced the release of AIOps: Autopilot, the first product featuring data models that combine artificial intelligence (AI) and machine learning (ML) technology with 20 years of network management system (NMS) configuration and monitoring data. […]
Data Architecture and Data Science: What is the Intersection?
Data Science, in practice, should ultimately combine the best practices of information technology, analytics, and business. On the other hand, Data Architecture enables data scientists to analyze and share data throughout the enterprise for strategic decision-making. Thus, without a sound Data Architecture in place, data scientists will remain severely handicapped in their abilities to develop […]
Knowledge Graphs and Data Modeling
Click to learn more about author Thomas Frisendal. Trip Report From Graphorum / Data Architecture Summit 2019 On October 14th thru 17th Chicago hosted the two co-located conferences Graphorum and Data Architecture Summit 2019 by DATAVERSITY®. It was two days of good tutorials and two good days of conference presentations. One thing to think about […]
Modeling Misfit Types: Why Type Inheritance Is Not a Good Fit in Data Models
Click to learn more about author Thomas Frisendal. “Complete Consistence” Drives Temporality, … And What Else? In August I published a blog post called The Future History of Time in Data Models. The short version of that story is that if you aim for “Complete Consistence for Temporal Extensions”, you need to work on the […]
ArangoDB Boosts Multi-Model Database Scalability with Release of ArangoDB 3.5
According to a new press release, “ArangoDB, the leading open source native multi-model database, today announced the GA release of ArangoDB 3.5. ArangoDB 3.5 contains new features that allow its growing customer base to more easily query, secure and search their growing data sets across multiple data models, making database scalability across distributed environments a […]
The Future History of Time in Data Models
Click to learn more about author Thomas Frisendal. Timely Concerns in Data Models In June I published a blog post called Timely Concerns in Data Models. In summary the concerns that I mentioned in June were: Roles of time (such as Valid Time, Recorded Time, As-Is vs. As-Of, Read timelines, Time Series), The scope of […]
The History of Time in Data Models
Click to learn more about author Thomas Frisendal. In my last blogpost Timely Concerns in Data Models, we looked at the basic challenges of dealing with time dependencies in Data Modeling. I promised to continue this quest by going over the history of these issues. How well have we actually solved these challenges? So, hop […]
Alteryx Invites Customers to ‘Unleash Their Inner AI’ with Assisted Modeling Beta
According to a recent press release, “Alteryx, Inc., revolutionizing business through data science and analytics, today introduced Assisted Modeling, an interactive guide built into the Alteryx Platform to walk users through the creation of machine learning models. Ashley Kramer, senior vice president of product management, demonstrated the functionality of Assisted Modeling and announced the beta […]
Timely Concerns in Data Models
Click to learn more about author Thomas Frisendal. The Component Parts of Data Models Back in March 2019 I published a post here on DATAVERSITY® titled The Atoms and Molecules of Data Models. The objective was to scope ”a universal set of constituents in data models across the board”. I used this classic data model, […]
All Aboard the Prescriptive Analytics Express
Click to learn more about author Joe deBuzna. Racing down the tracks with the equivalent of 170 Boeing 747s in tow, the 440,000 pound (200,000kg) next-generation locomotive is about to break. Some of the hundreds of sensors pulling in over 150,000 data points per minute show one of the train’s two turbochargers (yes, some trains have turbochargers) is starting […]