InfoQ Homepage Database Content on InfoQ
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From Content Management to Content Services with Spring Boot, Data and Content
Doug Hoke, Paul Warren discuss building Content Services on PCF with Spring Boot, Data and Content.
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Migrating from Big Data Architecture to Spring Cloud
Lenny Jaramillo discusses how Northern Trust migrated to PCF, highlighting how this helped them accelerate the delivery of functionality to their customers.
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DevOps for the Database
Baron Schwartz explores real-life stories that answer two questions: “Why is it hard to apply DevOps principles and practices to databases, and how can we get better at it?”
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Serverless Applications with Firebase
Kyle Paul introduces the tools available in Firebase, taking a dive into the Firebase real-time database & authentication setup, and finishing up with a multiplayer quiz (built on Firebase).
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Deep Representation: Building a Semantic Image Search Engine
Emmanuel Ameisen gives a step-by-step tutorial on how to build a semantic search engine for text and images, with code included.
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Using Data Effectively: beyond Art and Science
Hilary Parker talks about approaches and techniques to collect the most useful data, analyze it in a scientific way, and use it most effectively to drive actions and decisions.
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Big Data and Deep Learning: A Tale of Two Systems
Zhenxiao Luo explains how Uber tackles data caching in large-scale DL, detailing Uber’s ML architecture and discussing how Uber uses Big Data, concluding by sharing AI use cases.
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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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Accelerated Spark on Azure: Seamless and Scalable Hardware Offloads in the Cloud
Yuval Degani shows how hardware accelerations in Azure can be utilized to speed-up Spark jobs, with the aid of RDMA (Remote Direct Memory Access) support in the VM.
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Making Security Usable: Product Engineer Perspective
Anastasiia Voitova goes through several stages of inception and implementation of database encryption and intrusion detection tools.