InfoQ Homepage Conferences Content on InfoQ
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Building a Data Science Capability from Scratch
Victor Hu covers the challenges, both technical and cultural, of building a data science team and capability in a large, global company.
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Data Cleansing and Understanding Best Practices
Casey Stella talks about discovering missing values, values with skewed distributions and likely errors within data, as well as a novel approach to finding data interconnectedness.
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Predictability in ML Applications
Claudia Perlich presents scenarios in which the combination of different and highly informative features can have significantly negative overall impact on the usefulness of predictive modeling.
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SQL Server on Linux: Will it Perform or Not?
Slava Oks talks about SQL Server’s history, high-level architecture and dives into core of I/O Manager, Memory Manager, and Scheduler. Topics include lessons learned and experiences behind the scenes.
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Security War Stories: The Battle for the Internet of Things
Alasdair Allan discusses the security problems when building Internet of Things devices, and the underlying differences between the IoT and the digital Internet that drive those security issues.
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Structuring Your Business for Agility
Phil Abernathy discusses why Agile practices are not enough, detailing why and how to restructure an organization to make it successful.
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From Data Science to Production–Deploy, Scale, Enjoy
Sergii Khomenko introduces best practices in development, covers production deployments to the AWS stack, and using the serverless architecture for data applications.
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The Most Important Things I Have Learnt This Year
Simon Powers shares what he learned from various Agile speakers teaching, coaching and coaching at Adventures with Agile.
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Framing Our Potential for Failure
Michelle Brush discusses modeling complex systems and architectural changes that could introduce new modes of failure, using examples from embedded systems to large stream processing pipelines.
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Distributed Workflows with Hypermedia Clients
Glenn Block introduces Hypergoal, a way of creating distributed workflows with hypermedia clients.
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Automating Chaos Experiments in Production
Ali Basiri discusses the motivation behind ChAP (Chaos Automation Platform), how they implemented it, and how Netflix service teams are using it to identify systemic weaknesses.
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Designing Calm Technology
Amber Case discusses using Calm Technology to design the next generation of connected devices, covering notification styles, compressing information into other senses, and cognitive overhead.
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