[Last updated 10/2022] Taming Big Data with Apache Spark and Python - Hands On! (Udemy - Vietsub and Engsub)

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Ủng hộ Blog qua thẻ cào Viettel hoặc chuyển khoản: https://forms.gle/THrsJLSqproFHc8t7

What you'll learn:

• Use DataFrames and Structured Streaming in Spark 3
• Use the MLLib machine learning library to answer common data mining questions
• Frame big data analysis problems as Spark problems
• Understand how Spark Streaming lets your process continuous streams of data in real time
• Use Amazon's Elastic MapReduce service to run your job on a cluster with Hadoop YARN
• Install and run Apache Spark on a desktop computer or on a cluster
• Implement iterative algorithms such as breadth-first-search using Spark
• Use Spark's Resilient Distributed Datasets to process and analyze large data sets across many CPU's
• Tune and troubleshoot large jobs running on a cluster
• Understand how the GraphX library helps with network analysis problems
• Share information between nodes on a Spark cluster using broadcast variables and accumulators
• Understand how Spark SQL lets you work with structured data

Time video: 7 hours (66 Lessons + Documents)

Teacher: Sundog Education by Frank Kane, Frank Kane, Sundog Education Team

Total weight: 3.7 GB

Original link: https://www.udemy.com/course/taming-big-data-with-apache-spark-hands-on/

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