Eduardo Viñas Mouta

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Consultor Senior en Business Intelligence y Data Integration en proyectos internacionales. Experiencia en el ciclo de vida de Software (análisis, diseño, implementación, pruebas (validación), integración, mantenimiento) en proyectos de Business Intelligence. Experiencia en modelos de desarrollo de software (Cascada, V) Experiencia en diferentes industrias (Farmacéutica, Petróleo, Banca) Conocimiento del modelo CMMi (nivel 3) Conocimiento del Ciclo Completo del Riesgo de Crédito para Banca. Especialidades: Oracle Hyperion Essbase, Information Management, Business Intelligence, Datawarehousing, Oracle, ETL, Informatica Powercenter, Talend, Pentaho, SQL Server, Analysis Services, Arcpl...

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Eduardo Viñas Mouta

TuneIn: How to Get Your Hadoop/Spark Jobs Tuned While You’re Sleeping with Manoj Kumar and Arpan Agrawal

Top 5 Mistakes to Avoid When Writing Apache Spark Applications

Apache Hadoop YARN: best practices

Notes from Coursera Deep Learning courses by Andrew Ng

Introduction to Apache Mesos

Top Three Big Data Governance Issues and How Apache ATLAS resolves it for the Enterprise

Building a Hadoop Data Warehouse with Impala

Comparativa herramientas Business Intelligence

General Tips for participating Kaggle Competitions

Schema-on-Read vs Schema-on-Write

Hadoop and Your Data Warehouse

Real Time Analytics: Algorithms and Systems

Scala dreaded underscore

Tutorial of Sentiment Analysis

Large scale ETL with Hadoop

Hadoop and Enterprise Data Warehouse

Best Practices for the Hadoop Data Warehouse: EDW 101 for Hadoop Professionals

Real Time Big Data Processing on AWS

Hadoop ecosystem

Transitioning from Traditional DW to Apache® Spark™ in Operating Room Predictive Modeling