We’ve now gone down the road with big data and data lakes and the rise of AI and machine learning powered techniques long enough that it’s appropriate to take a step back and ask a few basic questions about what we’re trying to do and how we’re trying to do it. What’s interesting to me, […]
Donald Trump raised the issue of the fairness of Google search. Citing a variety of specious sources, he asked, “Is the Google Search ranking algorithm biased in some way?” While I don’t think he really has much of a point, it is interesting to think about why search is the way it is, and does […]
In this edition of the Early Adopter Research Podcast, Dan Woods spoke with Sushil Thomas, co-founder and CEO of Arcadia Data, while both were at Strata NYC. Woods has written about how Arcadia Data’s platform is attempting to save the data lake by making it more actionable and useful for companies — and not just a […]
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 […]