Machine Learning Will Do Auto-Programming’s Heavy Lifting
Programming an information system can be strenuous labor. If you’ve ever spent hours intently producing some intricately detailed textual composition, you know what I mean. And if you’re typing out mind-numbing technical verbiage every single work day, the repetitive stresses can wear you down. If you’re a programmer, your nervous system will scream for anything […]
Read More →Where is Data Science in the Hype Cycle?
Click to learn more about video blogger Stefan Groschupf. Introducing the Big Data & Brews video blog series presented by Stefan Groschupf, Founder of Datameer. The series will touch on hot topics within the business of Big Data, Analytics, Internet of Things, Cloud Computing, Machine Learning, Modern BI, NoSQL and Next Generation Technologies. In today’s video blog Stefan Groschupf talks […]
Read More →Fact or Fiction? Smart Data Visualization Tells the Tale
Click to learn more about author Kartik Patel. If you are considering a Business Intelligence solution, you ought to give some consideration to the concept of Smart Data Visualization and review your prospective solution to determine its capabilities in that regard. Smart Data Visualization provides many benefits to the organization and to the business users, who […]
Read More →Knowledge Maps – Connecting the Dots
Click to learn more about author John Singer. The solution to the problem described in “Knowledge Maps: What Is the Problem We Are Trying To Solve” lies in the artful combination of several maturing technologies – Semantics, Graph Databases, and Web Services. Semantics: Combining best practices from several related fields (Library Science, Information Science, Linguistics), technologies […]
Read More →Data Interchange Models: What are They?
Click to learn more about author Michael Blaha. Let’s continue last month’s discussion about different kinds of data models and look at data interchange models. My interest in this topic was piqued by several encounters with overly complex data interchange models. Data Interchange Model A data interchange model provides the means to convey data among […]
Read More →Graphic Art Depictions of Data Strategy at Enterprise Data World
At the DATAVERSITY® Enterprise Data World (EDW) and CDO Vision 2017 Conferences on April 2-7 in Atlanta, GA, we invited Hannah Sanford for a second year to visually illustrate the key presentations throughout the event with her Graphic Art depictions. Her renditions of the information presented are visually appealing with impressive portrayals of the flow […]
Read More →When to Use iPaaS vs. ETL
Click to learn more about author Paul Varley. With more applications around, usually from different vendors, the need for data integration has never been greater. New integration approaches have emerged, and today they coexist with other integration forms that have been around for years. Today we will compare an on-premise ETL tool with an Integration Platform […]
Read More →State of the Art of Data Modeling?
Click to learn more about video blogger Thomas Frisendal. When I googled “state of the art” “data modelling” (European spelling), I got: An Overview of State-of-the-Art Data Modelling – Events – ACSE – The An Overview of State-of-the-Art Data Modelling Data Modelling: Introduction and State of the Art – Springer Type Systems: Introduction and State of […]
Read More →What are Some Best Practices for Structuring Data Lakes?
Click to learn more about video blogger Andrew Brust. The Big Data & Brews video blog series continues with host Andrew Brust, Senior Director of Market Strategy and Intelligence. The series touches on hot topics within the business of Big Data, Analytics, Internet of Things, Machine Learning, Cloud Computing, Modern BI, NoSQL and Next Generation Technologies. In […]
Read More →Stock Market Performance: A look at Russell indexes in R
Click to learn more about author Steve Miller. I just completed the annual “maintenance” on my little stock market indexes returns “app”. I’ve supported a variant of the script for seven years, changing it pretty significantly year to year. The 2016 version was half python and half R, but this year I opted for R […]
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