InfoQ Homepage Database Content on InfoQ
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The Estimation Game - Techniques for Informed Guessing
In this article, author Carlos Bueno discusses the strategies for estimating the server capacity for big data projects and initiatives, with the help of two case studies.
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Machine Learning and Cognitive Computing
Based on a webinar on analytics, this article covers the topics of machine learning and cognitive computing, and how these fields are related to artificial intelligence (AI). Panelists discuss how this technology is being applied in digital marketing space and what concerns organizations have in providing machine learning services.
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Garage Door Openers: An Internet of Things Case Study
In this article, author discusses how to design an Internet-connected garage door opener ("IoT opener") to be secure. He talks about cloud service authentication and security improvements offered by networked openers, like two-factor authentication (2FA). He also discusses security infrastructure for IoT devices, which includes user authentication, access policy creation & enforcement.
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Breaking Down Data Silos with Foreign Data Wrappers
Author Lenley Hensarling discusses the Foreign Data Wrapper (FDW) feature in Postgres database. FDW provides a SQL interface for accessing data objects in remote data stores to integrate data from disparate sources like NoSQL databases and bring them into a common model.
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The Lean Machine: Bringing Agile Thinking to the Database
For some years now, Agile practices have been attracting application developers with their promise of short iterations, fast releases, and software that gets out there sooner. Those same practices are now entering the database space, but how can database development teams adapt, and where should they start?
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7 Habits of Highly Effective Monitoring Infrastructures
There is a right way and a wrong way to engineer effective telemetry systems and there is a finite combination of practices which — whatever your choice of individual tools — are predictive of success. If you are building or designing your next monitoring system, take a look at this short list of habits exhibited by the most successful monitoring systems in the world today.
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Big Data as a Service, an Interview with Google's William Vambenepe
Many of the Big Data technologies in common use originated from Google and have become popular open source platforms, but now Google is bringing an increasing range of big data services to market as part of its Google Cloud Platform. InfoQ caught up with Google's William Vambenepe, who's lead product manager for Big Data services to ask him about the shift towards service based consumption.
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The Promise of Healthcare Analytics
Data analytics play a central role in the healthcare system by improving outcomes and quality of life while helping to control costs. In this article, author describes the role analytics can play with the emerging wearable technologies with biophysical interfaces, physiological sensors, and embedded diagnostic tools.
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NoSQL For Mere Mortals Review and Author Q&A
Addison-Wesley Professional NoSQL for Mere Mortals provides an introduction to NoSQL databases spanning across the major types of databases that fall under the NoSQL umbrella and explaining both advantages and shortcomings that each database type offers. InfoQ has spoken with the book's author, Dan Sullivan.
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Big Data and IT-Enabled Services: Ecosystem and Coevolution?
In this article, based on a research study, author presents big data as a service-oriented and evolutionary case of disruptive IT-enabled services (IESs) rather than as datasets. Big data services emerge from combining diverse resources from an ecosystem of technologies, market needs, social actors, and other institutional contexts.
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Analytics, Machine Learning, and the Internet of Things
In this article, author discusses the evolving technologies like Machine Learning and Internet of Things and how to exploit them for data analytics. He also talks about how organizations can benefit from these new sources of information and intelligence embedded in their environments.
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DevOps is Not a Feature!
DevOps is the industrialization of IT, says Nati Shalom. Organizations that wish to optimize for speed and cost cannot afford silos anymore."Doing DevOps" is not adding new features to existing tools. In this article, Shalom takes us through the differences between management solutions in a pre and post DevOps world.