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.阅读更多.
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Data Engineering and Machine Learning using Spark 中涵盖的技术和工具与 数据工程师 招聘广告中的要求最为相似。
Data Engineering and Machine Learning using Spark is a part of 一 structured learning path.
13 Courses
15 Months
IBM Data Engineering Professional Certificate
