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Torrent Hash :
b076f0397e8e7e9f77fbc326c1bc0503a052f3f0
Content Size :
11.38 GB
Date :
2021-04-21
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Files ( 151 )size
apache-spark-for-java-developers/43 Recommender Systems/120 Building the Model.mp4257.72 MB
apache-spark-for-java-developers/41 Decision Trees/115 Building the Model.mp4253.26 MB
apache-spark-for-java-developers/40 Logistic Regression/113 Coding a Logistic Regression.mp4229.92 MB
apache-spark-for-java-developers/38 Pipelines/107 Pipelines.mp4223.13 MB
apache-spark-for-java-developers/42 K Means Clustering/118 K Means Clustering.mp4211.51 MB
apache-spark-for-java-developers/16 SparkSQL Getting Started/057 SparkSQL Getting Started.mp4198.96 MB
apache-spark-for-java-developers/26 More Aggregations/072 How to use the agg method in Spark.mp4195.97 MB
apache-spark-for-java-developers/45 Streaming Chapter 2 - Streaming with Apache Kafka/133 Using KafkaUtils to access a DStream.mp4188.2 MB
apache-spark-for-java-developers/14 RDD Performance/054 Caching and Persistence.mp4187.08 MB
apache-spark-for-java-developers/02 Getting Started/006 Installing Spark.mp4168.46 MB
apache-spark-for-java-developers/29 SparkSQL Performance/077 Understand the SparkUI for SparkSQL.mp4168.25 MB
apache-spark-for-java-developers/25 Pivot Tables/071 Coding a Pivot Table in Spark.mp4165.55 MB
apache-spark-for-java-developers/09 Keyword Ranking Practical/024 Worked Solution (continued) with Sorting.mp4156.24 MB
apache-spark-for-java-developers/46 Streaming Chapter 3- Structured Streaming/137 Structured Streaming Overview.mp4152.95 MB
apache-spark-for-java-developers/45 Streaming Chapter 2 - Streaming with Apache Kafka/131 Using a Kafka Event Simulator.mp4152.72 MB
apache-spark-for-java-developers/39 Case Study/109 Case Study - Walkthrough Part 1.mp4151.57 MB
apache-spark-for-java-developers/24 DataFrames API/068 SQL vs DataFrames.mp4147.18 MB
apache-spark-for-java-developers/23 Ordering/067 Ordering.mp4146.36 MB
apache-spark-for-java-developers/39 Case Study/110 Case Study - Walkthrough Part 2.mp4140.05 MB
apache-spark-for-java-developers/19 In Memory Data/063 In Memory Data.mp4139.67 MB
apache-spark-for-java-developers/17 Datasets/061 Filters using Columns.mp4138.94 MB
apache-spark-for-java-developers/22 Multiple Groupings/066 Multiple Groupings.mp4138.83 MB
apache-spark-for-java-developers/08 Reading from Disk/021 Reading from Disk.mp4138.01 MB
apache-spark-for-java-developers/24 DataFrames API/069 DataFrame Grouping.mp4136.97 MB
apache-spark-for-java-developers/09 Keyword Ranking Practical/023 Worked Solution.mp4135.99 MB
apache-spark-for-java-developers/14 RDD Performance/051 Shuffles.mp4133.7 MB
apache-spark-for-java-developers/46 Streaming Chapter 3- Structured Streaming/138 Data Sinks.mp4132.31 MB
apache-spark-for-java-developers/44 Module 4 -Spark Streaming and Structured Streaming with Kafka/124 Starting a Streaming Job.mp4127.91 MB
apache-spark-for-java-developers/46 Streaming Chapter 3- Structured Streaming/141 What is the Batch Size in Structured Streaming.mp4126.06 MB
apache-spark-for-java-developers/37 Non-Numeric Data/106 Understanding Vectors.mp4125.3 MB
apache-spark-for-java-developers/46 Streaming Chapter 3- Structured Streaming/140 Windows and Watermarks.mp4123.17 MB
apache-spark-for-java-developers/35 Model Fitting Parameters/100 Training Test and Holdout Data.mp4123.06 MB
apache-spark-for-java-developers/18 The Full SQL Syntax/062 Using a Spark Temporary View for SQL.mp4120.63 MB
apache-spark-for-java-developers/45 Streaming Chapter 2 - Streaming with Apache Kafka/136 Adding a Slide Interval.mp4120.58 MB
apache-spark-for-java-developers/36 Feature Selection/103 Identifying and Eliminating Duplicated Features.mp4119.14 MB
apache-spark-for-java-developers/37 Non-Numeric Data/105 Using OneHotEncoding.mp4116.31 MB
apache-spark-for-java-developers/35 Model Fitting Parameters/099 Setting Linear Regression Parameters.mp4112.87 MB
apache-spark-for-java-developers/30 HashAggregation/082 How can I force Spark to use HashAggregation.mp4110.6 MB
apache-spark-for-java-developers/10 Sorts and Coalesce/026 Why Coalesce is the Wrong Solution.mp4109.5 MB
apache-spark-for-java-developers/30 HashAggregation/081 How does HashAggregation work.mp4109 MB
apache-spark-for-java-developers/46 Streaming Chapter 3- Structured Streaming/139 Structured Streaming Output Modes.mp4108.93 MB
apache-spark-for-java-developers/09 Keyword Ranking Practical/022 Practical Requirements.mp4106.41 MB
apache-spark-for-java-developers/14 RDD Performance/048 Transformations and Actions.mp4105.69 MB
apache-spark-for-java-developers/44 Module 4 -Spark Streaming and Structured Streaming with Kafka/125 Streaming Transformations.mp498.02 MB
apache-spark-for-java-developers/20 Groupings and Aggregations/064 Groupings and Aggregations.mp497.08 MB
apache-spark-for-java-developers/11 Deploying to AWS EMR (Optional)/029 Packing a Spark Jar for EMR.mp494.7 MB
apache-spark-for-java-developers/28 User Defined Functions/076 Using a UDF in Spark SQL.mp494.08 MB
apache-spark-for-java-developers/30 HashAggregation/080 Explaining Execution Plans.mp493.94 MB
apache-spark-for-java-developers/45 Streaming Chapter 2 - Streaming with Apache Kafka/134 Writing a Kafka Aggegration.mp493.7 MB
apache-spark-for-java-developers/36 Feature Selection/101 Describing the Features.mp493.64 MB

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