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57 videos del último Big Data Spain 2016
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<blockquote data-quote="CamilaP" data-source="post: 23959" data-attributes="member: 22320"><p>Publicamos 57 videos de las ponencias que formaron parte del Big Data Spain 2016 celebrado el pasado 17 y 18 de noviembre.</p><p></p><p>Los videos que aparecen son:</p><p></p><p>- Big Data for digital transformation by Oscar Méndez</p><p></p><p>- Has AI Arrived? by Paco Nathan</p><p></p><p>- Welcome Keynote by Oscar Méndez</p><p></p><p>- Enabling the Bank of the Future by Ignacio Bernal</p><p></p><p>- The Enterprise and Connected Data, Trends in the Apache Hadoop Ecosystem by Alan Gates</p><p></p><p>- Multiplatform Spark solution for Graph datasources by Javier Dominguez</p><p></p><p>- Stratio's Cassandra Lucene index: Geospatial use cases by Andres de la Peña</p><p></p><p>- Business talk by Alan Chhabra</p><p></p><p>- Scaling data engineering by Michael Hausenblas</p><p></p><p>- Inferring the effect of an event using CausalImpact by Kay Brodersen </p><p></p><p>- Growing Data Scientists by Amparo Alonso</p><p></p><p>- Managing Data Science by David Martinez </p><p></p><p>- Keynote by Chema Alonso</p><p></p><p>- Running a Petascale Data System: good, bad, and ugly choices by Alexey Kharlamov</p><p></p><p>- Open data: from Insight to Visualisation with Google BigQuery and Carto.com by Thomas Park </p><p></p><p>- Data as a catalyst for a new approach to innovation by Giovanna Miritello </p><p></p><p>- Stream Processing as Game Changer for Big Data and IoT by Kai Wähner </p><p></p><p>- Roundtable at Big Data Spain 2016 </p><p></p><p>- The Rise of Engineering-Driven Analytics by Loren Shure</p><p></p><p>- Recent Advancements by Chris Flegly</p><p></p><p>- Tensorflow: architecture and use case - Nasa Space Apps Challenge by Gema Parreño </p><p></p><p>- Prepping your analytics organization for AI by Ramkumar Ravichandran </p><p></p><p>- Building a Complete End-to-End Batch and Real-time Recommendation Engine by Chris Fregly </p><p></p><p>- Finding the needle in the haystack by Rafael Villoria and Rafael San Miguel </p><p></p><p>- From data to AI with the Machine Learning Canvas by Louis Dorard </p><p></p><p>- Advanced data science algorithms by David Piris and Ignacio García</p><p></p><p>- Big data architecture for prediction and decision by Rafael Muñoz </p><p></p><p>- From data to numbers to knowledge: semantic embeddings by Álvaro Barbero </p><p></p><p>- Databases — the choice is yours by Philipp Krenn </p><p></p><p>- Next generation Polyglot Architectures using Neo4j by Stefan Kolmar </p><p></p><p>- Apache Hive 2.0 SQL, Speed, Scale by Alan Gates</p><p></p><p>- Solving the Industry 4.0 challenges on the logistics domain by Angel Conde </p><p></p><p>- GPU Accelerated Natural Language Processing by Guillermo Moliní </p><p></p><p>- Apache Flink for IoT by Aljoscha Krettek </p><p></p><p>- Awesome Logging Infrastructure Using The Elastic Stack by Philipp Krenn</p><p></p><p>- Efficient Big Data Exploration with SQL and Apache Drill by Jonatan Kazmierczak </p><p></p><p>- Building a Spark Streaming application by Petar Zecevic</p><p></p><p>- Introduction to Apache Apex by Thomas Weise </p><p></p><p>- Round Table by Oscar Méndez, Alan Chhabra, Ramkumar Ravichandran and Joe Rice </p><p></p><p>- Are we reaching a Data Science Singularity? by Natalino Busa </p><p></p><p>- Converging Big Data and Application Infrastructure By Steven Poutsy </p><p></p><p>- Multi-node Restricted Boltzmann Machines for Big Data by Nikolay Manchev</p><p></p><p>- Computable Content with Jupyter, Docker, Mesos by Paco Nathan</p><p></p><p>- Big Migrations: Moving elephant herds by Carlos Izquierdo </p><p></p><p>- Rapidly develop and deploy your own machine learning applications by Anthony Zupnik </p><p></p><p>- A unified (future proof) model for Big Data processing by Ismaël Mejía </p><p></p><p>- Machine Learning with Apache Spark by Petar Zecevic </p><p></p><p>- Assessing spatial accessibility to primary health by Gennaro Angiello and María Henar Salas-Olmedo</p><p></p><p>- Stream Processing use cases and applications with Apache Apex by Thomas Weise </p><p></p><p>- Visualization as an example for exercising democratic transparency by Lisa Lange and Sandra Cobos</p><p></p><p>- Why Apache Flink is better than Spark by Rubén Casado</p><p></p><p>- Migration and Coexistence between Relational and NoSQL Databases by Manuel Hurtado </p><p></p><p>- Big data in 140 characters by Joe Rice at Big Data Spain 2016 </p><p></p><p>- Turning an idea into a Data-Driven Production System by Lucas García </p><p></p><p>- Better together: Fast Data with Apache Spark by Michael Griggs</p><p></p><p>- Shortening the Feedback Loop by Josh Baer</p></blockquote><p></p>
[QUOTE="CamilaP, post: 23959, member: 22320"] Publicamos 57 videos de las ponencias que formaron parte del Big Data Spain 2016 celebrado el pasado 17 y 18 de noviembre. Los videos que aparecen son: - Big Data for digital transformation by Oscar Méndez - Has AI Arrived? by Paco Nathan - Welcome Keynote by Oscar Méndez - Enabling the Bank of the Future by Ignacio Bernal - The Enterprise and Connected Data, Trends in the Apache Hadoop Ecosystem by Alan Gates - Multiplatform Spark solution for Graph datasources by Javier Dominguez - Stratio's Cassandra Lucene index: Geospatial use cases by Andres de la Peña - Business talk by Alan Chhabra - Scaling data engineering by Michael Hausenblas - Inferring the effect of an event using CausalImpact by Kay Brodersen - Growing Data Scientists by Amparo Alonso - Managing Data Science by David Martinez - Keynote by Chema Alonso - Running a Petascale Data System: good, bad, and ugly choices by Alexey Kharlamov - Open data: from Insight to Visualisation with Google BigQuery and Carto.com by Thomas Park - Data as a catalyst for a new approach to innovation by Giovanna Miritello - Stream Processing as Game Changer for Big Data and IoT by Kai Wähner - Roundtable at Big Data Spain 2016 - The Rise of Engineering-Driven Analytics by Loren Shure - Recent Advancements by Chris Flegly - Tensorflow: architecture and use case - Nasa Space Apps Challenge by Gema Parreño - Prepping your analytics organization for AI by Ramkumar Ravichandran - Building a Complete End-to-End Batch and Real-time Recommendation Engine by Chris Fregly - Finding the needle in the haystack by Rafael Villoria and Rafael San Miguel - From data to AI with the Machine Learning Canvas by Louis Dorard - Advanced data science algorithms by David Piris and Ignacio García - Big data architecture for prediction and decision by Rafael Muñoz - From data to numbers to knowledge: semantic embeddings by Álvaro Barbero - Databases — the choice is yours by Philipp Krenn - Next generation Polyglot Architectures using Neo4j by Stefan Kolmar - Apache Hive 2.0 SQL, Speed, Scale by Alan Gates - Solving the Industry 4.0 challenges on the logistics domain by Angel Conde - GPU Accelerated Natural Language Processing by Guillermo Moliní - Apache Flink for IoT by Aljoscha Krettek - Awesome Logging Infrastructure Using The Elastic Stack by Philipp Krenn - Efficient Big Data Exploration with SQL and Apache Drill by Jonatan Kazmierczak - Building a Spark Streaming application by Petar Zecevic - Introduction to Apache Apex by Thomas Weise - Round Table by Oscar Méndez, Alan Chhabra, Ramkumar Ravichandran and Joe Rice - Are we reaching a Data Science Singularity? by Natalino Busa - Converging Big Data and Application Infrastructure By Steven Poutsy - Multi-node Restricted Boltzmann Machines for Big Data by Nikolay Manchev - Computable Content with Jupyter, Docker, Mesos by Paco Nathan - Big Migrations: Moving elephant herds by Carlos Izquierdo - Rapidly develop and deploy your own machine learning applications by Anthony Zupnik - A unified (future proof) model for Big Data processing by Ismaël Mejía - Machine Learning with Apache Spark by Petar Zecevic - Assessing spatial accessibility to primary health by Gennaro Angiello and María Henar Salas-Olmedo - Stream Processing use cases and applications with Apache Apex by Thomas Weise - Visualization as an example for exercising democratic transparency by Lisa Lange and Sandra Cobos - Why Apache Flink is better than Spark by Rubén Casado - Migration and Coexistence between Relational and NoSQL Databases by Manuel Hurtado - Big data in 140 characters by Joe Rice at Big Data Spain 2016 - Turning an idea into a Data-Driven Production System by Lucas García - Better together: Fast Data with Apache Spark by Michael Griggs - Shortening the Feedback Loop by Josh Baer [/QUOTE]
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57 videos del último Big Data Spain 2016
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