In the latest edition of the Early Adopter Research Podcast, Dan Woods speaks with Tendu Yogurtcu, CTO of Syncsort, during the Strata NYC Conference. Dan covered Syncsort’s technology in a recent article for Forbes in which he describes how the company is helps businesses manage their entire data supply chain. Today’s conversation covers a gamut […]
John Schroeder is the founder and CEO of MapR. He has extensive experience in enterprise software, having worked at Calista Technologies, Rainfinity, BRYO, and Compuware. Our conversation focused on MapR’s unique data fabric technology, which is an evolution of the data warehouse and data lake. The data fabric expands upon these earlier repositories to push […]
Operational Intelligence refers to a new category of methods and technology for gaining visibility into business operations, discovering insights, and then rapidly taking effective action, frequently through automation. Operational Intelligence refers to a new category of methods and technology for gaining visibility into business operations, discovering insights, and then rapidly taking effective action, frequently through […]
A large amount of data is now being created by Web servers, point of sale systems, RFID sensors, networks, and a variety of other systems that have long been used by people in the data center for diagnostic purposes and for performance analysis. A large amount of data is now being created by Web servers, […]
Imagine that all your business apps were people, seated in an auditorium ready to hear a speech. Here’s what I would say to them about machine data: Imagine that all your business apps were people, seated in an auditorium ready to hear a speech. Here’s what I would say to them about machine data: “Business […]
How people can use a data fabric like Splunk to take machine data and use it to improve operational intelligence In the first article in this series, I explained what machine data is and how it can help business applications. In this article, I explain how people can use a data fabric like Splunk to […]
Wal-Mart had a big data problem before it was called “big data.” So did McDonald’s and any number of other massive companies. Big Data Problems From very early on, Wal-Mart had a big data problem, before it was called “big data.” So did McDonald’s and any number of other massive companies. These companies also had […]
Start planning for a world where signals are harvested from external repositories through APIs with built-in analytics. It is time for CIOs and CTOs to start planning for a world in which signals are harvested from external repositories through distributed APIs that have intelligence and analytics built in. So, today I’m starting a mission to […]
The idea that we won’t have to clean and disambiguate data is ludicrous. We’ve lived with enterprise business intelligence (BI) for several decades now, and it’s no secret that many of us are fed up with the inability of such expensive technology to deliver the business value we need. Some vendors have keyed into this […]
Data scientists are needed to help turn big data into a richer model of the customer. What is a data scientist? That’s the question asked of Dan Woods in this brief video interview from Predictive Analytics World. Woods weighs in on areas such as whether data scientist should really be a new job title, the […]
