Cursos de Apache Spark MLlib en Quito

This is one of the best hands-on with exercises programming courses I have ever taken.

Laura Kahn

Curso - Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP

Un montón de ejemplos prácticos, diferentes formas de abordar un mismo problema, y a veces trucos no tan obvios de cómo mejorar la solución actual

Rafał - Nordea

Curso - Apache Spark MLlib

Traducción Automática

The VM I liked very much The Teacher was very knowledgeable regarding the topic as well as other topics, he was very nice and friendly I liked the facility in Dubai.

Safar Alqahtani - Elm Information Security

Curso - Big Data Analytics in Health

Sufficient hands on, trainer is knowledgable

Chris Tan

Curso - A Practical Introduction to Stream Processing

very interactive...

Richard Langford

Curso - SMACK Stack for Data Science

Compromiso y disposición para explicar temas secundarios.

Marek - Krajowy Rejestr Długów Biuro Informacji Gospodarczej S.A.

Curso - Apache Spark Fundamentals

Traducción Automática

Experiencia práctica del entrenador, no coloreando la solución discutida pero tampoco introduciendo una característica negativa. Siento que el entrenador me está preparando para un uso real y práctico de la herramienta: estos valiosos detalles generalmente no se encuentran en los libros.

Krzysztof Miodek - Krajowy Rejestr Długów Biuro Informacji Gospodarczej S.A.

Curso - Apache Spark Fundamentals

Traducción Automática

Having hands on session / assignments

Poornima Chenthamarakshan - Intelligent Medical Objects

Curso - Apache Spark in the Cloud

1. Right balance between high level concepts and technical details. 2. Andras is very knowledgeable about his teaching. 3. Exercise

Steven Wu - Intelligent Medical Objects

Curso - Apache Spark in the Cloud

La combinación de teoría y práctica con herramientas como databricks

Graciela Saud - Servicio de Impuestos Internos

Curso - Spark for Developers

Doing similar exercises different ways really help understanding what each component (Hadoop/Spark, standalone/cluster) can do on its own and together. It gave me ideas on how I should test my application on my local machine when I develop vs when it is deployed on a cluster.

Thomas Carcaud - IT Frankfurt GmbH

Curso - Spark for Developers

Ajay was very friendly, helpful and also knowledgable about the topic he was discussing.

Biniam Guulay - ICE International Copyright Enterprise Germany GmbH

Curso - Spark for Developers

Ernesto did a great job explaining the high level concepts of using Spark and it's various modules.

Michael Nemerouf

Curso - Spark for Developers

Ejercicios e intercambios durante las preguntas y respuestas

Antoine - Physiobotic

Curso - Scaling Data Pipelines with Spark NLP

Traducción Automática

El buen humor, el apoyo y las habilidades del entrenador.

Oumayma - Physiobotic

Curso - Scaling Data Pipelines with Spark NLP

Traducción Automática

The fact that we were able to take with us most of the information/course/presentation/exercises done, so that we can look over them and perhaps redo what we didint understand first time or improve what we already did.

Raul Mihail Rat - Accenture Industrial SS

Curso - Python, Spark, and Hadoop for Big Data

I liked that it managed to lay the foundations of the topic and go to some quite advanced exercises. Also provided easy ways to write/test the code.

Ionut Goga - Accenture Industrial SS

Curso - Python, Spark, and Hadoop for Big Data