Personal Information
Organización/Lugar de trabajo
Mexico City Area, Mexico Mexico
Ocupación
Big Data Engineer
Sector
Medical / Health Care / Pharmaceuticals
Acerca de
*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 ...
Etiquetas
spark
big data
kafka
redis
casssandra
apache spark
scala
hadoop
amazon web services
Ver más
Presentaciones
(3)Recomendaciones
(31)Best Practices in Metadata Management
DATAVERSITY
•
Hace 2 años
Snowflake SnowPro Certification Exam Cheat Sheet
Jeno Yamma
•
Hace 4 años
Top 5 Deep Learning and AI Stories - October 6, 2017
NVIDIA
•
Hace 6 años
ARIMA
Venkata Reddy Konasani
•
Hace 10 años
Microservices, Containers, Docker and a Cloud-Native Architecture in the Middleware World
Kai Wähner
•
Hace 8 años
End to End Streaming Architectures
Cloudera, Inc.
•
Hace 8 años
Big Data Architectural Patterns
Amazon Web Services
•
Hace 8 años
Spring Boot Microservices vs Akka Actor Cluster
OpenCredo
•
Hace 7 años
Using Spark to Load Oracle Data into Cassandra
Jim Hatcher
•
Hace 7 años
Modeling Big Data with the ArchiMate 3.0 Language
Iver Band
•
Hace 7 años
Data processing platforms architectures with Spark, Mesos, Akka, Cassandra and Kafka
Anton Kirillov
•
Hace 8 años
Streaming Analytics with Spark, Kafka, Cassandra and Akka
Helena Edelson
•
Hace 8 años
Spark Summit EU 2015: Combining the Strengths of MLlib, scikit-learn, and R
Databricks
•
Hace 8 años
Spark Summit EU 2015: Reynold Xin Keynote
Databricks
•
Hace 8 años
Apache Cassandra for Timeseries- and Graph-Data
Guido Schmutz
•
Hace 8 años
Apache Kafka, HDFS, Accumulo and more on Mesos
Joe Stein
•
Hace 9 años
Making Apache Kafka Elastic with Apache Mesos
Joe Stein
•
Hace 8 años
Workshop administracion cassandra
Jose Felix Hernandez Barrio
•
Hace 10 años
Visualizing big data in the browser using spark
Databricks
•
Hace 9 años
How to use Parquet as a basis for ETL and analytics
Julien Le Dem
•
Hace 9 años
Build a boat with node.js and spark.io
Jesse (Chien Chen) Chen
•
Hace 9 años
Data Architectures for Robust Decision Making
Gwen (Chen) Shapira
•
Hace 9 años
Kafka and Storm - event processing in realtime
Guido Schmutz
•
Hace 10 años
Integrate Big Data into Your Organization with Informatica and Perficient
Perficient, Inc.
•
Hace 10 años
Introducing DataFrames in Spark for Large Scale Data Science
Databricks
•
Hace 9 años
Lessons from Running Large Scale Spark Workloads
Databricks
•
Hace 9 años
End-to-end Data Pipeline with Apache Spark
Databricks
•
Hace 9 años
Simplifying Big Data Analytics with Apache Spark
Databricks
•
Hace 9 años
Lambda Architecture with Spark, Spark Streaming, Kafka, Cassandra, Akka and Scala
Helena Edelson
•
Hace 9 años
Intro to Apache Spark by CTO of Twingo
MapR Technologies
•
Hace 9 años
Personal Information
Organización/Lugar de trabajo
Mexico City Area, Mexico Mexico
Ocupación
Big Data Engineer
Sector
Medical / Health Care / Pharmaceuticals
Acerca de
*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 ...
Etiquetas
spark
big data
kafka
redis
casssandra
apache spark
scala
hadoop
amazon web services
Ver más