Apache Spark for Data Engineering and Machine Learning

Number of badges issued: 6

This credential earner can describe the following: the features, benefits, limitations & application of Apache Spark Structured Streaming, graph theory, & how GraphFrames benefit developers. They can explain how developers can apply extract, transform & load (ETL) processes using Spark, how Spark ML supports machine learning development, & how to apply Spark ML for regression & classification. They can differentiate between supervised/unsupervised Machine learning & how Spark ML uses clustering.

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Apache Spark for Data Engineering and Machine Learning

What is needed to earn this credential or badge

Course

Complete the following course on edX, including all assignments: Apache Spark for Data Engineering and Machine Learning.

Assessment

Pass all graded assessments and earn a course certificate on edX.org.

Apache Spark for Data Engineering and Machine Learning

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Apache Spark for Data Engineering and Machine Learning

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