According to a recent press release, “Infragistics is excited to announce a major upgrade to its embedded data analytics software, Reveal. In addition to its fast, easy integration into any platform or deployment option, Reveal’s newest features address the latest trends in data analytics: predictive and advanced analytics, machine learning, R and Python scripting, big […]
Truth Before Meaning with Data and Analytics
Click to learn more about author Scott Taylor. There is data and there is analytics. They work together. They need each other. These two things are linked, but it helps to think of them separately. From my perspective data is about determining the truth. Analytics is about deriving meaning. I would suggest that most data experts already […]
Dell EMC and Comet Announce Machine Learning Platform Collaboration
A recent press release reports, “Dell EMC, a leading provider of full-stack solutions for data science teams, and Comet, the industry-leading meta machine learning experimentation platform, announced a collaboration with a reference architecture for data science teams looking to harness the power of the Dell EMC infrastructure in tandem with Comet’s meta machine learning platform. […]
Self-Service Analytics Use Cases
Self-service analytics offers dynamic reports to business users, who can analyze the data by sophisticated, in-built functions. This kind of user empowerment reduces reliance on IT staff. Moreover, self-service business intelligence (BI) capability may additionally equip users with external data access and built-in features to instantly generate finished reports. To use a complete range of […]
Ensemble Models: Bagging and Boosting
Click to learn more about author Rosaria Silipo. Ensemble models combine multiple learning algorithms to improve the predictive performance of each algorithm alone. There are two main strategies to ensemble models — bagging and boosting — and many examples of predefined ensemble algorithms. Bootstrap aggregation, or bagging, is an ensemble meta-learning technique that trains many […]
KNIME Launches Integrated Deployment
According to a new press release, “KNIME today unveiled a groundbreaking approach — Integrated Deployment — to eliminate the gap between the creation of data science models and their use in production. Integrated Deployment allows not just a model but all of its associated preparation and post-process steps to be identified and automatically reused in […]
Significance of Big Data Testing in Today’s Business Environment
Click to learn more about author Parimal Kumar. Data has become the most significant asset for any organization, and thus it’s very difficult for companies and firms to survive viably without data and the right data analysis techniques. Big data is collected from multiple sources and is capable of revealing valuable information. This is why […]
Data Architect vs. Data Modeler vs. Data Engineer
Michael Bowers, author and Chief Data Architect at FairCom Corporation, initially set out to research three careers in his presentation titled Data Architect vs. Data Modeler vs. Data Engineer for the DATAVERSITY® Data Architecture Online 2019 Conference. The process brought him to a wealth of information he would have appreciated much earlier in his career, […]
Commvault’s New Product Innovations Help Enterprises Accelerate Their Move to the Cloud
According to a new press release, “Commvault, a recognized global enterprise software leader in the management of data across cloud and on-premises environments, today announced the availability of its latest product innovations, which include new cloud and on-premises data management capabilities. These capabilities extend the flexibility and simplicity of Commvault’s cloud solutions, making it easier […]
Data Integration for Business Intelligence: Best Practices
Click to learn more about author Ibrahim Surani In this technology-driven world, the influx of data can seem overwhelming, if not properly utilized. With data coming in from so many different sources, the only way to extract real insights from these raw inputs is through integration. Properly integrated data has a trickle-down effect on all […]