InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Mik Kersten on Current and Future ALM Trends
Mik Kersten talks about current and future trends in ALM and the support for approaches like large scale Agile, DevOps, Docker, Big Data, functional languages and the Internet of Things.
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Interview with Jay Jay Billings on the Eclipse Science Working Group
Recorded at EclipseCon NA 2015, Jay Jay Billings talks to Alex Blewitt about the recently created Eclipse Science working group, including the challenges involved in data visualisation of petabytes of data and on highly parallel computing that might have hundreds of thousands of processes all processing data.
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Neha Narula on the Latest Research in Databases, Transactions, Distributed Programming
Neha Narula talks about the latest research and concepts in distributed programming and databases, reducing the overhead of transactions, are multicore systems like distributed systems, and much more.
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Camille Fournier on the Software and Data Science Behind Rent the Runway
Camille Fournier explains how Rent the Runway uses software and data science to handle a massive shipping and warehouse operation, modelling inventory life cycles, optimising shipping and much more.
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A Conversation with the Core Developer of Redis
Salvatore Sanfilipo, the core developer for Redis talks about how it is unique in the ecosystem, how the user base is growing and how it is influencing the roadmap. He also talks about some good use cases for Redis and what is not.
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Mathias Brandewinder on F# for Data Science
Mathias Brandewinder explains why F# is well suited for data science: the REPL, type providers for seamless data access, functional programming concepts and much more.
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Aish Fenton on Machine Learning at Netflix
Aish Fenton explains how machine learning is used at Netflix for recommendations but also for many more applications.
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Ines Sombra on Data Services at Engine Yard
Engine Yard's Ines Sombra discusses state management in the cloud in general, and specific data stores including MySQL, Postgres and some NoSQL alternatives. She also explains why the pets and cattle analogy doesn't work for her, and what need to be done in organisations with respect to trusting people and trusting the infrastructure.
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Ian Robinson on Neo4j's History, Data Structure and Use Cases
Ian Robinson talks to Charles Humble about the history of Neo4J, it's data structure, and use cases such as recommendation engines, network impact analysis, route finding and fraud detection.
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Juergen Hoeller Gets Personal on Spring 4, Java 8, Spring XD, and all things Spring
Juergen Hoeller has been leading the development of the Spring core framework for over 10 years. In this interview, we get a glimpse of the passion and the insight that drive Spring. Some of the topics covered include Spring 4, adoption of Java 8, moving Spring forward, Spring Boot, enterprise features, Spring XD, and much more.
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Amber Case on GIS, Geolocation, Integrating Startups Into Companies
Amber Case explains how Esri handles GIS data, how to integrate small teams and startups into established companies, handling competent jerks and other types of team members, and much more.
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Chris Mattmann on Big Data Infrastructure for Scientific Data Processing
Chris Mattmann explains the type and magnitude of data produced in scientific projects like the Square Kilometer Array Telescope, the tools to use for scientific data processing and much more.
