InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Instant and Personal: Searching Your Network at LinkedIn
Shakhina Pulatova overviews the Instant Search experience at LinkedIn and how they use Machine Learning to deliver personalized results as the query is typed.
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Advanced Spring Data REST
Covering the features added to Spring Data REST in recent releases, Oliver Gierke looks at how to integrate manually coded REST resources, tweak representations and work with lookup types.
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Sneek Peek at Spring Data Cassandra
Mark Paluch and John Blum present the changes in Spring Data Cassandra and what to expect from the upcoming version.
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Scaling Dropbox
Preslav Le talks about how Dropbox’s infrastructure evolved over the years, how it looks today, as well the challenges and lessons learned on the way.
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Next Level Redis with Spring
Christoph Strobl explains Redis' Object Hash Mapping and Secondary Indexes as well as the Spring Data Repository abstraction that lets one seamlessly interact with Redis.
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What's New in Spring Data?
Christoph Strobl and Mark Paluch overview the new features introduced in the latest Spring Data release trains, covering improvements to Commons, JPA, MongoDB, Redis, and the community modules.
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Where Does Apache Geode Fit in CQRS Architectures?
Eitan Suez explores the question: Where does Geode fit in an organization's system architecture, suggesting one particular fit for Geode in the context of a CQRS architecture.
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Introduction to Spring Data
Greg Turnquist explains how Spring Data avoids writing data queries by hand and provides the means to avoid SQL lock-in and connect to multiple data stores.
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Intuition Engineering
Casey Rosenthal talks about a new discipline called Intuition Engineering and Vizceral, a tool they built at Neflix to process massive amounts of visual data in parallel.
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TensorFlow: A Flexible, Scalable & Portable System
Rajat Monga talks about why Google built TensorFlow, an open source software library for numerical computation using data flow graphs, and what were some of the technical challenges in building it.
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Targeting Your Audience: Data Visualization to Communicate Data Insights
Randy Krum explains how to use the power of data visualization to convey actionable insights to an audience, making data clear and memorable by showing the audience what the data means.
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Visual Rules of the Road for Big Data Practitioners
David Fisher discusses via example how to build a data navigation language into visualizations, providing an intuitive user experience via the mechanism of subtle visual cuing.
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