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Data Engineering and Machine Learning using Spark

Descripción

Organizations need skilled, forward-thinking Big Data practitioners who can apply their business and technical skills to unstructured data such as tweets, posts, pictures, audio files, videos, sensor data, and satellite imagery and more to identify behaviors and preferences of prospects, clients, competitors, and others.

In this short course you'll gain practical skills when you learn how to work with Apache Spark for Data Engineering and Machine Learning (ML) applications. You will work hands-on with Spark MLlib, Spark Structured Streaming, and more to perform extract, transform and load (ETL) tasks as well as Regression, Classification, and Clustering.Lee mas.

Este recurso es ofrecido por un socio afiliado. Si paga por la capacitación, podemos ganar una comisión para respaldar este sitio.

Relevancia profesional por rol de datos

Las técnicas y herramientas cubiertas en Data Engineering and Machine Learning using Spark son muy similares a los requisitos que se encuentran en los anuncios de trabajo de Ingeniero de datos.

Puntuaciones de similitud (sobre 100)

Secuencia de aprendizaje

Data Engineering and Machine Learning using Spark is a part of uno structured learning path.