InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Spring and Big Data
Thomas Risberg discusses developing big data pipelines with Spring, focusing around the code needed and he also covers how to set up a test environment both locally and in the cloud.
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Data Science-powered Apps for the Internet of Things
Chris Rawles describes approaches to addressing the concerns around any IoT project through a deep-dive into an interactive demo centered around classification of human activities.
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Building Resilient and Evolutionary Data Microservices
Vinicius Carvalho talks about the role of a centralized Schema repository, and how can we work with different data models and protocols to achieve schema evolution.
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Data Microservices in the Cloud
Mark Pollack introduces Spring Cloud Data Flow enabling one to create pipelines for data ingestion, real-time analytics and data import/export, demoing apps that are deployed onto multiple runtimes.
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Uses of Big Data by a Non-Profit Engaged in Conducting Events Funded in Part by Third Party Sponsors
Thomas Grilk discusses how a non-profit can efficiently use data from customers/athletes in its marketing and sponsorship activities while respecting the privacy and confidentiality of its customers.
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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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