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<rss xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:podcast="https://podcastindex.org/namespace/1.0" xmlns:media="http://search.yahoo.com/mrss/" version="2.0"><channel><title>Bienvenida</title><link>https://www.spreaker.com/podcast/bienvenida--6804284</link><description><![CDATA[Bienvenida a la radio de nuestra Directora General,Daniela Ruiz.]]></description><atom:link href="https://www.spreaker.com/show/6804284/episodes/feed" rel="self" type="application/rss+xml"/><language>es</language><category>Music Commentary</category><copyright>Copyright Radio Doble M</copyright><image><url>https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/9c7beb1b1f5eb35e63e9aa7b650eeede.jpg</url><title>Bienvenida</title><link>https://www.spreaker.com/podcast/bienvenida--6804284</link></image><lastBuildDate>Mon, 24 Aug 2026 02:15:25 +0000</lastBuildDate><itunes:author>Radio Doble M</itunes:author><itunes:owner><itunes:name>Radio Doble M</itunes:name><itunes:email>feeds@spreaker.com</itunes:email></itunes:owner><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/9c7beb1b1f5eb35e63e9aa7b650eeede.jpg"/><itunes:subtitle>Bienvenida a la radio de nuestra Directora General,Daniela Ruiz.</itunes:subtitle><itunes:summary><![CDATA[Bienvenida a la radio de nuestra Directora General,Daniela Ruiz.]]></itunes:summary><itunes:category text="Music"><itunes:category text="Music Commentary"/></itunes:category><itunes:explicit>false</itunes:explicit><podcast:guid>bff61bf9-72ad-5b2c-b81a-6b72cd4542e0</podcast:guid><itunes:type>episodic</itunes:type><item><title>Bienvenida a la radio</title><link>https://www.spreaker.com/episode/bienvenida-a-la-radio--68721696</link><description><![CDATA[Este podcast ofrece una experiencia entretenida con conversaciones dinámicas, música y temas de interés para todo tipo de oyentes. Explora cultura, actualidad y momentos divertidos con un estilo cercano y relajado. Perfecto para quienes disfrutan del ambiente clásico y moderno de la radio.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/68721696</guid><pubDate>Mon, 24 Nov 2025 13:10:13 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/68721696/apertura_de_dany.mp3" length="4281444" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/d6fe5aa0-52b5-4c1f-8727-649da537e49a/d6fe5aa0-52b5-4c1f-8727-649da537e49a.srt" type="application/x-subrip" language="es"/><podcast:transcript url="https://transcription.spreaker.com/starship/d6fe5aa0-52b5-4c1f-8727-649da537e49a/d6fe5aa0-52b5-4c1f-8727-649da537e49a.txt" type="text/plain" language="es"/><podcast:transcript url="https://transcription.spreaker.com/starship/d6fe5aa0-52b5-4c1f-8727-649da537e49a/d6fe5aa0-52b5-4c1f-8727-649da537e49a.vtt" type="text/vtt" language="es"/><itunes:author>Radio Doble M</itunes:author><itunes:subtitle>Este podcast ofrece una experiencia entretenida con conversaciones dinámicas, música y temas de interés para todo tipo de oyentes. Explora cultura, actualidad y momentos divertidos con un estilo cercano y relajado. Perfecto para quienes disfrutan del...</itunes:subtitle><itunes:summary><![CDATA[Este podcast ofrece una experiencia entretenida con conversaciones dinámicas, música y temas de interés para todo tipo de oyentes. Explora cultura, actualidad y momentos divertidos con un estilo cercano y relajado. Perfecto para quienes disfrutan del ambiente clásico y moderno de la radio.]]></itunes:summary><itunes:duration>268</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/9c7beb1b1f5eb35e63e9aa7b650eeede.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Building Applications with Connected Data</title><link>https://www.spreaker.com/episode/building-applications-with-connected-data--72294282</link><description><![CDATA[This podcast explores how graph databases are enabling the next generation of low-code and no-code application development. It discusses how connected data models simplify application design, accelerate development cycles, and reduce backend complexity. Perfect for developers, product managers, solution architects, and anyone interested in faster and more intuitive software creation.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72294282</guid><pubDate>Tue, 22 Apr 2025 05:40:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/72294282/57_low_code_development_with_graphs_taking_application_development_to_a_new_level_t4fvko5kpec.mp3" length="41132367" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/ec5aa416-e6c5-4b77-ab91-12a8df770752/ec5aa416-e6c5-4b77-ab91-12a8df770752.srt" type="application/x-subrip" language="es"/><podcast:transcript url="https://transcription.spreaker.com/starship/ec5aa416-e6c5-4b77-ab91-12a8df770752/ec5aa416-e6c5-4b77-ab91-12a8df770752.txt" type="text/plain" language="es"/><podcast:transcript url="https://transcription.spreaker.com/starship/ec5aa416-e6c5-4b77-ab91-12a8df770752/ec5aa416-e6c5-4b77-ab91-12a8df770752.vtt" type="text/vtt" language="es"/><itunes:author>Radio Doble M</itunes:author><itunes:subtitle>This podcast explores how graph databases are enabling the next generation of low-code and no-code application development. It discusses how connected data models simplify application design, accelerate development cycles, and reduce backend...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores how graph databases are enabling the next generation of low-code and no-code application development. It discusses how connected data models simplify application design, accelerate development cycles, and reduce backend complexity. Perfect for developers, product managers, solution architects, and anyone interested in faster and more intuitive software creation.]]></itunes:summary><itunes:duration>2571</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/9c7beb1b1f5eb35e63e9aa7b650eeede.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Building Cloud-Native Graph Apps</title><link>https://www.spreaker.com/episode/building-cloud-native-graph-apps--72294281</link><description><![CDATA[This podcast explores practical experiences of integrating Quarkus with Neo4j in real-world applications, focusing on performance, scalability, and developer productivity. It discusses reactive architectures, live-coding demonstrations, and best practices for building cloud-native graph applications. Perfect for Java developers, backend engineers, software architects, and anyone interested in modern graph-based application development.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72294281</guid><pubDate>Sat, 16 Dec 2023 01:40:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/72294281/58_quarkus_on_neo4j_real_world_experiences_live_coding_yzi8ht_naie.mp3" length="43675624" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/678a99c5-a953-49f7-958f-268cec1cfb9c/678a99c5-a953-49f7-958f-268cec1cfb9c.srt" type="application/x-subrip" language="es"/><podcast:transcript url="https://transcription.spreaker.com/starship/678a99c5-a953-49f7-958f-268cec1cfb9c/678a99c5-a953-49f7-958f-268cec1cfb9c.txt" type="text/plain" language="es"/><podcast:transcript url="https://transcription.spreaker.com/starship/678a99c5-a953-49f7-958f-268cec1cfb9c/678a99c5-a953-49f7-958f-268cec1cfb9c.vtt" type="text/vtt" language="es"/><itunes:author>Radio Doble M</itunes:author><itunes:subtitle>This podcast explores practical experiences of integrating Quarkus with Neo4j in real-world applications, focusing on performance, scalability, and developer productivity. It discusses reactive architectures, live-coding demonstrations, and best...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores practical experiences of integrating Quarkus with Neo4j in real-world applications, focusing on performance, scalability, and developer productivity. It discusses reactive architectures, live-coding demonstrations, and best practices for building cloud-native graph applications. Perfect for Java developers, backend engineers, software architects, and anyone interested in modern graph-based application development.]]></itunes:summary><itunes:duration>2730</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/9c7beb1b1f5eb35e63e9aa7b650eeede.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Cloud Graph Development</title><link>https://www.spreaker.com/episode/cloud-graph-development--72294284</link><description><![CDATA[This podcast explores how to build and deploy scalable applications using Neo4j Aura, a fully managed graph database service on Google Cloud. It discusses cloud-native architecture, deployment strategies, performance optimization, and best practices for integrating Aura into modern application stacks. Perfect for cloud engineers, backend developers, solution architects, and anyone building graph-powered applications in the cloud.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72294284</guid><pubDate>Thu, 24 Aug 2023 06:16:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/72294284/60_developing_applications_with_neo4j_aura_on_google_cloud_udkm_fdkgyq.mp3" length="45318104" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/a6eb4308-1b92-433c-9cf2-c53d49c8003a/a6eb4308-1b92-433c-9cf2-c53d49c8003a.srt" type="application/x-subrip" language="es"/><podcast:transcript url="https://transcription.spreaker.com/starship/a6eb4308-1b92-433c-9cf2-c53d49c8003a/a6eb4308-1b92-433c-9cf2-c53d49c8003a.txt" type="text/plain" language="es"/><podcast:transcript url="https://transcription.spreaker.com/starship/a6eb4308-1b92-433c-9cf2-c53d49c8003a/a6eb4308-1b92-433c-9cf2-c53d49c8003a.vtt" type="text/vtt" language="es"/><itunes:author>Radio Doble M</itunes:author><itunes:subtitle>This podcast explores how to build and deploy scalable applications using Neo4j Aura, a fully managed graph database service on Google Cloud. It discusses cloud-native architecture, deployment strategies, performance optimization, and best practices...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores how to build and deploy scalable applications using Neo4j Aura, a fully managed graph database service on Google Cloud. It discusses cloud-native architecture, deployment strategies, performance optimization, and best practices for integrating Aura into modern application stacks. Perfect for cloud engineers, backend developers, solution architects, and anyone building graph-powered applications in the cloud.]]></itunes:summary><itunes:duration>2833</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/9c7beb1b1f5eb35e63e9aa7b650eeede.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Zero to Production Fast</title><link>https://www.spreaker.com/episode/zero-to-production-fast--72294283</link><description><![CDATA[This podcast explores how developers can rapidly move from idea to production-ready applications using Spring, Neo4j, and JHipster. It discusses full-stack development workflows, automated scaffolding, and best practices for integrating graph databases into modern application stacks. Perfect for backend developers, full-stack engineers, and software architects aiming to accelerate delivery without sacrificing scalability or quality.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72294283</guid><pubDate>Fri, 10 Mar 2023 11:05:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/72294283/59_lightning_fast_zero_to_production_with_spring_neo4j_and_jhipster_apx0oetgfws.mp3" length="42566370" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/fc89eef9-f72a-452b-b14a-dde8051fc9b2/fc89eef9-f72a-452b-b14a-dde8051fc9b2.srt" type="application/x-subrip" language="es"/><podcast:transcript url="https://transcription.spreaker.com/starship/fc89eef9-f72a-452b-b14a-dde8051fc9b2/fc89eef9-f72a-452b-b14a-dde8051fc9b2.txt" type="text/plain" language="es"/><podcast:transcript url="https://transcription.spreaker.com/starship/fc89eef9-f72a-452b-b14a-dde8051fc9b2/fc89eef9-f72a-452b-b14a-dde8051fc9b2.vtt" type="text/vtt" language="es"/><itunes:author>Radio Doble M</itunes:author><itunes:subtitle>This podcast explores how developers can rapidly move from idea to production-ready applications using Spring, Neo4j, and JHipster. It discusses full-stack development workflows, automated scaffolding, and best practices for integrating graph...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores how developers can rapidly move from idea to production-ready applications using Spring, Neo4j, and JHipster. It discusses full-stack development workflows, automated scaffolding, and best practices for integrating graph databases into modern application stacks. Perfect for backend developers, full-stack engineers, and software architects aiming to accelerate delivery without sacrificing scalability or quality.]]></itunes:summary><itunes:duration>2661</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/9c7beb1b1f5eb35e63e9aa7b650eeede.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Building Better Data-Driven Systems</title><link>https://www.spreaker.com/episode/building-better-data-driven-systems--72294280</link><description><![CDATA[This podcast explores the critical relationship between data modeling and algorithm design when building data-driven applications. It discusses how data structures influence analytical outcomes, the trade-offs between model-first and algorithm-first approaches, and strategies for creating scalable, effective solutions. Perfect for data scientists, software architects, developers, and technology professionals interested in designing smarter data systems.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72294280</guid><pubDate>Fri, 25 Nov 2022 03:45:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/72294280/56_which_comes_first_the_data_model_or_the_algorithm_8fkhrji6t1i.mp3" length="35641195" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/252896e4-e90e-4947-84ad-fa0dc25c98b5/252896e4-e90e-4947-84ad-fa0dc25c98b5.srt" type="application/x-subrip" language="es"/><podcast:transcript url="https://transcription.spreaker.com/starship/252896e4-e90e-4947-84ad-fa0dc25c98b5/252896e4-e90e-4947-84ad-fa0dc25c98b5.txt" type="text/plain" language="es"/><podcast:transcript url="https://transcription.spreaker.com/starship/252896e4-e90e-4947-84ad-fa0dc25c98b5/252896e4-e90e-4947-84ad-fa0dc25c98b5.vtt" type="text/vtt" language="es"/><itunes:author>Radio Doble M</itunes:author><itunes:subtitle>This podcast explores the critical relationship between data modeling and algorithm design when building data-driven applications. It discusses how data structures influence analytical outcomes, the trade-offs between model-first and algorithm-first...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores the critical relationship between data modeling and algorithm design when building data-driven applications. It discusses how data structures influence analytical outcomes, the trade-offs between model-first and algorithm-first approaches, and strategies for creating scalable, effective solutions. Perfect for data scientists, software architects, developers, and technology professionals interested in designing smarter data systems.]]></itunes:summary><itunes:duration>2228</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/9c7beb1b1f5eb35e63e9aa7b650eeede.jpg"/><itunes:episodeType>full</itunes:episodeType></item></channel></rss>
