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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>djhardstyle125's tracks</title><link>https://www.spreaker.com/podcast/djhardstyle125-s-tracks--1320431</link><description><![CDATA[djhardstyle125's tracks]]></description><atom:link href="https://www.spreaker.com/show/1320431/episodes/feed" rel="self" type="application/rss+xml"/><language>de</language><category>Society &amp; Culture</category><copyright>Copyright djhardstyle125</copyright><image><url>https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/yellow_square_mic.jpg</url><title>djhardstyle125's tracks</title><link>https://www.spreaker.com/podcast/djhardstyle125-s-tracks--1320431</link></image><lastBuildDate>Mon, 15 Jun 2026 14:40:28 +0000</lastBuildDate><itunes:author>djhardstyle125</itunes:author><itunes:owner><itunes:name>djhardstyle125</itunes:name><itunes:email>feeds@spreaker.com</itunes:email></itunes:owner><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/yellow_square_mic.jpg"/><itunes:subtitle>djhardstyle125's tracks</itunes:subtitle><itunes:summary><![CDATA[djhardstyle125's tracks]]></itunes:summary><itunes:category text="Society &amp; Culture"/><itunes:explicit>false</itunes:explicit><itunes:type>episodic</itunes:type><item><title>Scalable Link Prediction with Graph Data Science</title><link>https://www.spreaker.com/episode/scalable-link-prediction-with-graph-data-science--72535067</link><description><![CDATA[This podcast explores how graph data science techniques can be used to predict missing or future relationships within large-scale connected datasets. It discusses link prediction algorithms, graph embeddings, feature engineering, machine learning pipelines, and real-world applications in recommendations, fraud detection, social networks, and knowledge graphs. Perfect for data scientists, machine learning engineers, graph practitioners, and analytics professionals looking to apply predictive intelligence to connected data.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72535067</guid><pubDate>Mon, 15 Jun 2026 14:39:18 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/72535067/082_link_prediction_with_graph_data_science_at_scale_nodes2022_florentin_d_rre_ea22jauw0go.mp3" length="17558214" type="audio/mpeg"/><itunes:author>djhardstyle125</itunes:author><itunes:subtitle>This podcast explores how graph data science techniques can be used to predict missing or future relationships within large-scale connected datasets. It discusses link prediction algorithms, graph embeddings, feature engineering, machine learning...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores how graph data science techniques can be used to predict missing or future relationships within large-scale connected datasets. It discusses link prediction algorithms, graph embeddings, feature engineering, machine learning pipelines, and real-world applications in recommendations, fraud detection, social networks, and knowledge graphs. Perfect for data scientists, machine learning engineers, graph practitioners, and analytics professionals looking to apply predictive intelligence to connected data.]]></itunes:summary><itunes:duration>1098</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/yellow_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Modeling Change</title><link>https://www.spreaker.com/episode/modeling-change--72535066</link><description><![CDATA[This podcast explores how graph databases can be used to model and track changes in user behavior, preferences, and interactions over time. It discusses temporal graph modeling, event-driven architectures, user journey analysis, and strategies for building adaptive applications that respond to evolving user needs. Perfect for software architects, product managers, data scientists, and developers creating personalized, data-driven user experiences.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72535066</guid><pubDate>Thu, 14 Sep 2023 20:30:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/72535066/081_user_change_modeling_in_graph_applications_nodes2022_elena_kohlwey_dzlyza_6aqm.mp3" length="35814244" type="audio/mpeg"/><itunes:author>djhardstyle125</itunes:author><itunes:subtitle>This podcast explores how graph databases can be used to model and track changes in user behavior, preferences, and interactions over time. It discusses temporal graph modeling, event-driven architectures, user journey analysis, and strategies for...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores how graph databases can be used to model and track changes in user behavior, preferences, and interactions over time. It discusses temporal graph modeling, event-driven architectures, user journey analysis, and strategies for building adaptive applications that respond to evolving user needs. Perfect for software architects, product managers, data scientists, and developers creating personalized, data-driven user experiences.]]></itunes:summary><itunes:duration>2239</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/yellow_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>A Developer’s Guide to Plugins and Custom Functionality</title><link>https://www.spreaker.com/episode/a-developer-s-guide-to-plugins-and-custom-functionality--72535065</link><description><![CDATA[This podcast explores the world of Neo4j plugins and how they extend the capabilities of graph databases beyond their core functionality. It discusses popular plugins, installation methods, custom procedures, performance enhancements, and practical use cases for adding advanced features to Neo4j environments. Perfect for developers, database administrators, and solution architects looking to customize and optimize their graph database applications.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72535065</guid><pubDate>Sat, 15 May 2021 14:36:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/72535065/080_introduction_to_neo4j_plugins_nodes2022_bert_radke_lwmuqxom3zo.mp3" length="15471319" type="audio/mpeg"/><itunes:author>djhardstyle125</itunes:author><itunes:subtitle>This podcast explores the world of Neo4j plugins and how they extend the capabilities of graph databases beyond their core functionality. It discusses popular plugins, installation methods, custom procedures, performance enhancements, and practical...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores the world of Neo4j plugins and how they extend the capabilities of graph databases beyond their core functionality. It discusses popular plugins, installation methods, custom procedures, performance enhancements, and practical use cases for adding advanced features to Neo4j environments. Perfect for developers, database administrators, and solution architects looking to customize and optimize their graph database applications.]]></itunes:summary><itunes:duration>967</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/yellow_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Ask the Graph Experts</title><link>https://www.spreaker.com/episode/ask-the-graph-experts--72535050</link><description><![CDATA[This podcast features an engaging question-and-answer session with Emil Eifrem and Andreas Kollegger, covering key topics in graph technology, innovation, and the future of connected data. It explores audience questions, industry trends, best practices, and insights from leaders shaping the graph database ecosystem. Perfect for developers, data professionals, architects, and technology enthusiasts interested in the latest developments in graph databases and knowledge graphs.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72535050</guid><pubDate>Sat, 06 Feb 2021 15:34:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/72535050/071_closing_q_a_with_emil_and_andreas_apac_nodes2022_emil_eifrem_andreas_kollegger_3yawtiqwv78.mp3" length="22771841" type="audio/mpeg"/><itunes:author>djhardstyle125</itunes:author><itunes:subtitle>This podcast features an engaging question-and-answer session with Emil Eifrem and Andreas Kollegger, covering key topics in graph technology, innovation, and the future of connected data. It explores audience questions, industry trends, best...</itunes:subtitle><itunes:summary><![CDATA[This podcast features an engaging question-and-answer session with Emil Eifrem and Andreas Kollegger, covering key topics in graph technology, innovation, and the future of connected data. It explores audience questions, industry trends, best practices, and insights from leaders shaping the graph database ecosystem. Perfect for developers, data professionals, architects, and technology enthusiasts interested in the latest developments in graph databases and knowledge graphs.]]></itunes:summary><itunes:duration>1424</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/yellow_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Festival Anthem Selection</title><link>https://www.spreaker.com/episode/festival-anthem-selection--72433395</link><description><![CDATA[Experience a collection of crowd-favorite tracks inspired by the biggest hardstyle festivals around the world. Expect massive drops, uplifting melodies, and pure festival vibes.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72433395</guid><pubDate>Thu, 20 Aug 2020 12:35:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/72433395/070_esg_supply_chain_knowledge_graph_nodes2022_dr_julian_gruemmer_7jfxoubuv3q.mp3" length="14329047" type="audio/mpeg"/><itunes:author>djhardstyle125</itunes:author><itunes:subtitle>Experience a collection of crowd-favorite tracks inspired by the biggest hardstyle festivals around the world. Expect massive drops, uplifting melodies, and pure festival vibes.</itunes:subtitle><itunes:summary><![CDATA[Experience a collection of crowd-favorite tracks inspired by the biggest hardstyle festivals around the world. Expect massive drops, uplifting melodies, and pure festival vibes.]]></itunes:summary><itunes:duration>896</itunes:duration><itunes:keywords>culture,society</itunes:keywords><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/yellow_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Hardstyle Energy Unleashed</title><link>https://www.spreaker.com/episode/hardstyle-energy-unleashed--72433393</link><description><![CDATA[Get ready for an adrenaline-fueled session packed with powerful kicks, euphoric melodies, and nonstop energy. This episode showcases the signature sound that keeps hardstyle fans moving from start to finish.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72433393</guid><pubDate>Mon, 03 Aug 2020 07:05:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/72433393/069_fundamentals_of_neo4j_graph_data_science_series_2_x_pipelines_and_more_nodes2022_7hx56qtf80q.mp3" length="33794262" type="audio/mpeg"/><itunes:author>djhardstyle125</itunes:author><itunes:subtitle>Get ready for an adrenaline-fueled session packed with powerful kicks, euphoric melodies, and nonstop energy. This episode showcases the signature sound that keeps hardstyle fans moving from start to finish.</itunes:subtitle><itunes:summary><![CDATA[Get ready for an adrenaline-fueled session packed with powerful kicks, euphoric melodies, and nonstop energy. This episode showcases the signature sound that keeps hardstyle fans moving from start to finish.]]></itunes:summary><itunes:duration>2113</itunes:duration><itunes:keywords>culture,society</itunes:keywords><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/yellow_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Basslines After Dark</title><link>https://www.spreaker.com/episode/basslines-after-dark--72433394</link><description><![CDATA[Turn up the volume and dive into a mix of deep bass, driving rhythms, and electrifying drops. Perfect for late-night listening, workouts, or anyone craving high-octane beats.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72433394</guid><pubDate>Wed, 06 May 2020 13:54:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/72433394/068_bluehound_community_driven_security_based_on_neo4j_and_neodash_nodes202_dekel_paz_76mwt8uugag.mp3" length="35183976" type="audio/mpeg"/><itunes:author>djhardstyle125</itunes:author><itunes:subtitle>Turn up the volume and dive into a mix of deep bass, driving rhythms, and electrifying drops. Perfect for late-night listening, workouts, or anyone craving high-octane beats.</itunes:subtitle><itunes:summary><![CDATA[Turn up the volume and dive into a mix of deep bass, driving rhythms, and electrifying drops. Perfect for late-night listening, workouts, or anyone craving high-octane beats.]]></itunes:summary><itunes:duration>2199</itunes:duration><itunes:keywords>culture,society</itunes:keywords><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/yellow_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item></channel></rss>
