Big Data en AWS

Te invitamos a compartir este meetup (previa compra de ticket reembolsable (https://beevameetupbigdataaws.eventbrite.es)) en el que hablaremos de Big Data en AWS en dos partes:

Iván Fernandez, Solutions Architect de BEEVA:

• Qué es Big Data

• Soluciones AWS para Big Data: EMR, Redshift, Kinesis, Data Pipeline, ElasticSearch...

• Ventajas del Big Data en AWS

• Ejemplos de arquitecturas de referencia y uso en BEEVA

• Demo end-to-end de servicios de analítica de AWS

Chris Fregly, Research Scientist en PipelineIO:

Deploying and Serving Spark ML and TensorFlow AI Models with PMML, NetflixOSS, Docker, and Kubernetes (Chris Fregly (https://www.linkedin.com/in/cfregly) from PipelineIO (http://pipeline.io/))

In this completely demo-based talk, Chris will be discussing an area of machine learning and artificial intelligence that is often overlooked - the real-time, end-user-facing "serving" layer!

Serving models to end-users in real-time in a highly-scalable, fault-tolerant manner requires not only an understanding of machine learning, but also an understanding of distributed systems and scalable microservices.

Chris will combine his work experience from both Databricks (https://github.com/databricks) (Apache Spark people) and Netflix (https://github.com/netflix) (video streaming people) to demo real-world, production-ready, 100% open source code (https://github.com/fluxcapacitor/pipeline/wiki) for deploying your Spark ML and TensorFlow AI models into production to serve end-users using key components of the Netflix Open Source (https://github.com/netflix) stack.

Pide tu entrada reembolsable a través de Eventbrite (https://beevameetupbigdataaws.eventbrite.es). El importe te será devuelto al finalizar el evento una vez confirmada tu asistencia.