Israel Gaytan

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*Experience Setting up Apache Spark Clústers on Amazon EC2 * Experience with Hadoop CDH 5.2 and setting up a 5 node cluster for text processing. * Experience Planning Big Data applications for Enterprises. *Experience Setting Up Cassandra and ElasticSearch clústers on Amazon EC2. *Experience Setting up rCharts with Shiny on Amazon EC2 for run algorithms on Marketing optimisation * Experience implementing libraries snow, parallel, multicore for optimize and run R scripts in parallel * Experience in setting up an Amazon EC2 infraestructure (4 node cluster)with securyity groups, placement groups for HPC to parallelize R algorithms. * Experience in connecting R to MongoDB for make data ...

spark big data kafka redis casssandra apache spark scala hadoop amazon web services

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Israel Gaytan

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Elastic map reduce

Apache spark meetup

Arquitectura Lambda

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Best Practices in Metadata Management

Snowflake SnowPro Certification Exam Cheat Sheet

Top 5 Deep Learning and AI Stories - October 6, 2017

ARIMA

Microservices, Containers, Docker and a Cloud-Native Architecture in the Middleware World

End to End Streaming Architectures

Big Data Architectural Patterns

Spring Boot Microservices vs Akka Actor Cluster

Using Spark to Load Oracle Data into Cassandra

Modeling Big Data with the ArchiMate 3.0 Language

Data processing platforms architectures with Spark, Mesos, Akka, Cassandra and Kafka

Streaming Analytics with Spark, Kafka, Cassandra and Akka

Spark Summit EU 2015: Combining the Strengths of MLlib, scikit-learn, and R

Spark Summit EU 2015: Reynold Xin Keynote

Apache Cassandra for Timeseries- and Graph-Data

Apache Kafka, HDFS, Accumulo and more on Mesos

Making Apache Kafka Elastic with Apache Mesos

Workshop administracion cassandra

Visualizing big data in the browser using spark

How to use Parquet as a basis for ETL and analytics

Build a boat with node.js and spark.io

Data Architectures for Robust Decision Making

Kafka and Storm - event processing in realtime

Integrate Big Data into Your Organization with Informatica and Perficient

Introducing DataFrames in Spark for Large Scale Data Science

Lessons from Running Large Scale Spark Workloads

End-to-end Data Pipeline with Apache Spark

Simplifying Big Data Analytics with Apache Spark

Lambda Architecture with Spark, Spark Streaming, Kafka, Cassandra, Akka and Scala

Intro to Apache Spark by CTO of Twingo