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Troubleshooting Apache Spark [Video]\Exercise Files\code_35611.zip |
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Troubleshooting Apache Spark [Video]\3.Distributed Joins in Cluster\11.Slow Joins - Choosing an Execution Plan for Join.mp4
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Troubleshooting Apache Spark [Video]\3.Distributed Joins in Cluster\12.Distributed Joins Problem - DataFrame API.mp4
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Troubleshooting Apache Spark [Video]\3.Distributed Joins in Cluster\10.Avoid Wrong Join Strategies - Using a Join Type Based on Data Volume.mp4
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Troubleshooting Apache Spark [Video]\3.Distributed Joins in Cluster\13.TypeSafe Joins Problem - The Newest DataSet API.mp4
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Troubleshooting Apache Spark [Video]\2.Distributed DataFrames Optimization Pitfalls \08.Logical Plans Hiding the Truth - Examining the Physical Plans.mp4
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Troubleshooting Apache Spark [Video]\2.Distributed DataFrames Optimization Pitfalls \07.Defining Robust Custom Functions - Understanding User-Defined Functions.mp4
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Troubleshooting Apache Spark [Video]\2.Distributed DataFrames Optimization Pitfalls \06.Making Computations Parallel - Using Partitions.mp4
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Troubleshooting Apache Spark [Video]\2.Distributed DataFrames Optimization Pitfalls \09.Slow Interpreted Lambdas - Code Generation Spark Optimization.mp4
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Troubleshooting Apache Spark [Video]\4.Solving Problems with Non-Efficient Transformations\15.Iterating Transformations – T |
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Troubleshooting Apache Spark [Video]\4.Solving Problems with Non-Efficient Transformations\17.Performing Unnecessary Recomputation - Reusing RDDs.mp4
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Troubleshooting Apache Spark [Video]\4.Solving Problems with Non-Efficient Transformations\14.Minimizing Object Creation - Reusing Existing Objects.mp4
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Troubleshooting Apache Spark [Video]\4.Solving Problems with Non-Efficient Transformations\16.Slow Spark Application Start - Reducing Setup Overhead.mp4
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Troubleshooting Apache Spark [Video]\5.Troubleshooting Real-Time Processing Jobs in Spark Streaming\19.Long Latency of Jobs - Understanding Batch Internals.mp4
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Troubleshooting Apache Spark [Video]\5.Troubleshooting Real-Time Processing Jobs in Spark Streaming\21.Maintaining Batch and Streaming - Using Structured Streaming Pros.mp4
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Troubleshooting Apache Spark [Video]\5.Troubleshooting Real-Time Processing Jobs in Spark Streaming\20.Fault Tolerance - Using Data Checkpointing.mp4
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Troubleshooting Apache Spark [Video]\5.Troubleshooting Real-Time Processing Jobs in Spark Streaming\18.Repeating the Same Code in Stream Pipeline - Using Sources and Sinks.mp4
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Troubleshooting Apache Spark [Video]\1.Common Problems and Troubleshooting the Spark Distributed Engine\04.Unexpected API Behavior - Picking the Proper RDD API.mp4
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Troubleshooting Apache Spark [Video]\1.Common Problems and Troubleshooting the Spark Distributed Engine\02.Eager Computations - Lazy Evaluation.mp4
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Troubleshooting Apache Spark [Video]\1.Common Problems and Troubleshooting the Spark Distributed Engine\05.Wide Dependencies - Using Narrow Dependencies.mp4
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Troubleshooting Apache Spark [Video]\1.Common Problems and Troubleshooting the Spark Distributed Engine\01.The Course Overview.mp4
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Troubleshooting Apache Spark [Video]\1.Common Problems and Troubleshooting the Spark Distributed Engine\03.Caching Values - In-Memory Persistence.mp4
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