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Spring Data REST - Data Meets Hypermedia + Security
Roy Clarkson and Greg Turnquist discuss using Spring Data REST to build a back-end for a startup, exemplifying with Spring-A-Gram, an app built with Spring Data REST and secured by Spring Security.
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Working with Databases & Groovy
Paul King reviews the features in Groovy which make it easy to work with databases - Groovy SQL, datasets -, and working with NoSQL databases such as MongoDB and Neo4J.
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The Lego Model for Machine Learning Pipelines
Leah McGuire describes the machine learning platform Salesforce wrote on top of Spark to modularize data cleaning and feature engineering.
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Spring XD Today and Tomorrow
Mark Pollack discusses Spring XD and its integration driven by the Big Data ecosystem at large such as Kafka, Spark, functional programming, integration with Python, and designer/monitoring UIs.
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Spring Boot and Groovy
Fátima Casaú discusses applications with Spring, support for ‘Groovy’ and also the use of ‘GORM (Grails Object Relational Mapping)’ as well as ‘Hibernate’ for persistence.
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Data Driven Action: A Primer on Data Science
S Aerni, S Ramanujam and J Vawdrey present approaches and open source tools for wrangling and modeling massive datasets, scaling Java applications for NLP on MPP through PL/Java and much more.
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Boot Your Search with Spring
Christoph Strobl focuses on integrating search solutions like Solr, Elasticsearch as well as MongoDBs full text search into an application.
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Spring Boot Microservices, Containers, and Kubernetes - How-to
R Tsang shows how to create a Java-based microservice using Spring Boot, containerize it using Maven plugins and deploy a fleet of microservices and dependent components such as Redis using Kubernetes
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Powering the Industrial Enterprise: Introducing the IOT Platform-as-a-Service
Jesus Rodriguez explores the characteristics of the IOT PaaS vs. predecessor PaaS architectures, focusing on device management, event driven integration, real-time analytics and offline communication.
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Tuning Java for Big Data
Scott Seighman discusses causes of common performance issues in Big Data environments, heap size, garbage collection, JVM reuse tuning guidelines and Big Data performance analysis tools.
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Modern Apps & Microservices
Bob Familiar introduces microservices, discussing their architecture and outlining cloud deployment scenarios, exemplified by a live demo on Microsoft Azure.
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Data Driven Product Development
Lyndon Maher, Paul McManus discuss data driven development, how to collect data, getting feedback, tools to use, and how to integrate a data-driven mentality into the team.
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