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High-Performance Data Processing with Spring Cloud Data Flow and Geode
Cahlen Humphreys and Tiffany Chang discuss why Enfuse.io chose Apache Geode and Pivotal Cloud Cache for their data processing needs.
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Scaling Beyond a Billion Transactions Per Day with Sub-second Responses
Andrey Zolotov, Gideon Low present their journey of transition to distributed data processing using GemFire and the challenges faced along the way.
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Spring Data and In-Memory Data Management in Action
John Blum and Luke Shannon present and code a live Spring Boot-based application powered by Apache Geode (a.k.a. Pivotal GemFire) running on CloudFoundry.
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Federated Queries with HAWQ - SQL on Hadoop and Beyond
Christian Tzolov shows different integration approaches between HAWQ and GemFire, showing using Spring XD to ingest GemFire data into HDFS and using Spring Boot to implement a RESTful proxy for HAWQ.
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Implementing a Highly Scalable Stock Prediction System with R, GemFire and Spring XD
William Markito Oliveira and Fred Melo discuss the architecture and implementation details of a stock prediction solution built entirely on top of open source code and some R and a web interface.
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Building Highly Scalable Spring Applications with In-memory Distributed Data Grids
John Blum and Luke Shannon introduce Pivotal GemFire along with the open source offering, Apache Geode. They demonstrate how to effectively build highly scalable applications with GemFire/Apache.
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Implementing the Lambda Architecture with Spring XD
Carlos Queiroz introduces the lambda architecture and showcases how it can be implemented with SpringXD, GemFireXD and Hadoop in a CDR(Call Detail Record) mining application.
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Getting started with Spring Data and Distributed Database Grids
Mark Johnson and David Turanski introduce Spring Data for GemFire demoing using Spring Data for persistency across multiple distributed database grids.
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