InfoQ Homepage Data Access Content on InfoQ
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The New Kid on the Block: Spring Data JDBC
Jens Schauder describes the current state of Spring Data JDBC, its features and some of the underlying design decisions, especially its DDD-based API.
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Under the Hood of Reactive Data Access
Mark Paluch explains what happens inside the Spring Data 5 reactive driver and how data is accessed and provided in a reactive way.
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Reactive Relational Database Connectivity
Ben Hale discusses the Reactive Relational Database Connectivity (R2DBC), explaining how the API works, the benefits of using it, and how it contrasts with the ADBC proposed as a successor to JDBC.
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JDBC, What Is It Good For?
Thomas Risberg reviews what has been happening in the world of JDBC lately and how it fits with the latest trends like Reactive, Non-Blocking APIs, Microservices, CQRS and Event Sourcing.
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Gimel: PayPal’s Analytics Data Platform
Deepak Chandramouli introduces and demos Gimel, a unified analytics data platform which provides access to any storage through a single unified data API and SQL.
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Simplifying Apache Geode with Spring Data
John Blum shows how to use the annotation-based configuration model to build an Apache Geode client-server application.
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Under the Hood of Reactive Data Access
Mark Paluch explains what happens inside the Spring Data reactive driver and how data is accessed in a reactive setting.
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Reactive Data Access with Spring Data
Christoph Strobl and Mark Paluch discuss non-blocking data access using Spring Data for NoSQl data stores and Project Reactor.
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Homoiconicity: It Is What It Is
Stuart Sierra demonstrates the power that comes from having the same data representation at all layers: programming language, specification, database, inter-process communication, and user interface.
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Managing Data in Microservices
Randy Shoup shares microservices managing data patterns from Google, eBay, and Stitch Fix., talking on the need to access the data only through microservice's interface, communicate through events.
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Power of the Log:LSM & Append Only Data Structures
Ben Stopford talks about the beauty of sequential access and append only data structures in the context of “Log Structured Merge Trees”.
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Practical Data Synchronization Using CRDTs
Dmitry Ivanov discusses the basic CRDTs implementations in Scala, explaining the advantages of these data structures to solve many synchronization problems as well as their limitations.
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