Apache PySpark by Example

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MP4 | Video: h264, 1280x720 | Audio: AAC, 48 KHz, 2 Ch | Duration: 1h 58m
Genre: eLearning | Language: English + Sub | Size: 260 MB

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.

Topics include:
Benefits of the Apache Spark ecosystem
Working with the DataFrame API
Working with columns and rows
Leveraging built-in Spark functions
Creating your own functions in Spark
Working with Resilient Distributed Datasets (RDDs)
Screenshots

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