Taming Big Data with Apache Spark and Python - Hands On! - Learn Data Science

Link to this course(95% OFF)
Dive right in with 15+ hands-on examples of analyzing large data sets with Apache Spark, on your desktop or on Hadoop!
What you will learn on this course:
Use DataFrames and Structured Streaming in Spark 3
Frame big data analysis problems as Spark problems
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
Use Spark's Resilient Distributed Datasets to process and analyze large data sets across many CPU's
Implement iterative algorithms such as breadth-first-search using Spark
Use the MLLib machine learning library to answer common data mining questions
Understand how Spark SQL lets you work with structured data
Understand how Spark Streaming lets your process continuous streams of data in real time
Tune and troubleshoot large jobs running on a cluster
Share information between nodes on a Spark cluster using broadcast variables and accumulators
Understand how the GraphX library helps with network analysis problems