Operational Database Management Systems
Q1. You’ve spent two decades working on decision science systems, and ontologies play a critical role in both data management and AI. Can you discuss how you approach the generation and maintenance of ontologies...
Q1. In the year ahead, you anticipated a resurgence of data architectures that support two key IT priorities: 1) accelerating AI-driven initiatives, and 2) strengthening end-to-end cyber-resiliency to counter the persistent rise in ransomware attacks....
Q1. Despite their impressive capabilities, computers cannot easily understand text, images, audio, or other human-readable data formats. Why? Computers inherently operate on binary data, and their processing capabilities are rooted in numerical and logical...
“Redis 3.0 with Redis Cluster was released almost eight years ago and these days we’re busy thinking about a significant overhaul, a.k.a Cluster V2. In these past eight years, Redis has become an even...
Q1. The rapid increase in urbanization worldwide is driving demand for more efficient and higher-performing railway connections in mass and intercity transit. The challenge for cities, regions and countries is to introduce new rail systems...
Q1. Can Deep Learning be already used in the Enterprise? If, yes, for what? Michael Zeller: Absolutely! Over the past few years, Deep Learning has captured the imagination of data scientists and outperformed other...
Q1. You are Principal Product Manager at Turo. What is Turo? Turo is a leading peer-to-peer carsharing marketplace — our mission is to put the world’s 1 billion cars to better use. A private...
Q1. What are the main lessons you have learned from managing large Hadoop clusters at scale? Several key lessons stand out. Lesson one: I recommend buying the right tools up front to automate processes,...
Q1. Can you tell us about your work extending Vertica onto the Hadoop ecosystem? The Vertica Analytics Platform was founded in 2005 by Turing Award-winner Michael Stonebraker and his colleagues at MIT and other...
Q1. What are the advantages and disadvantages of in-memory databases? In-memory databases, by definition, handle the data they are processing in main memory. There is no need to deal with secondary storage which can...