English | Size: 4.04 GB
Genre: eLearning
What you’ll learn
Frame big data analysis problems as Apache Spark scripts
Develop distributed code using the Scala programming language
Optimize Spark jobs through partitioning, caching, and other techniques
Build, deploy, and run Spark scripts on Hadoop clusters
Process continual streams of data with Spark Streaming
Transform structured data using SparkSQL, DataSets, and DataFrames
Traverse and analyze graph structures using GraphX
Analyze massive data set with Machine Learning on Spark
Who this course is for:
Software engineers who want to expand their skills into the world of big data processing on a cluster
If you have no previous programming or scripting experience, you’ll want to take an introductory programming course first.
https://nitro.download/view/9F54B9793FDCC22/apache-spark-scala-hands-on-big-data.part1.rar
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https://rapidgator.net/file/29df27e17358095733265ef17b6682e2/apache-spark-scala-hands-on-big-data.part1.rar.html
https://rapidgator.net/file/e576e8546c15cdb3f1c7e6874e0046ce/apache-spark-scala-hands-on-big-data.part2.rar.html
https://rapidgator.net/file/ae37942d607e4e8ef9f28d0e86f1ef12/apache-spark-scala-hands-on-big-data.part3.rar.html
https://rapidgator.net/file/e59923db37fce409e895d124b828b038/apache-spark-scala-hands-on-big-data.part4.rar.html
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