Apache PySpark by Example
With Jonathan Fernandes
Liked by 2,112 users
Duration: 1h 58m
Skill level: Intermediate
Released: 1/31/2019
Course details
Want to get up and running with Apache Spark as soon as possible? If you're well versed in Python, the Spark Python API (PySpark) is your ticket to accessing the power of this hugely popular big data platform. This practical, hands-on course helps you get comfortable with PySpark, explaining what it has to offer and how it can enhance your data science work. To begin, instructor Jonathan Fernandes digs into the Spark ecosystem, detailing its advantages over other data science platforms, APIs, and tool sets. Next, he looks at the DataFrame API and how it's the platform's answer to many big data challenges. Finally, he goes over Resilient Distributed Datasets (RDDs), the building blocks of Spark.
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Meet the instructor
Learner reviews
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Ashen Weligalle
Ashen Weligalle
Machine Learning Enthusiast | M.Sc. student in Machine Learning & Statistics at Linköpings University
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Neptune Michel
Neptune Michel
Data Solutions Architecture | Data Mesh | AWS Solutions Architecture | Big Data Engineering | Cloud Transformation | Fintech & Crypto
Contents
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