UD711/apache-spark-for-java-developers/01 Introduction/001 Welcome.mp4 |
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UD711/apache-spark-for-java-developers/01 Introduction/002 Downloading the Code.html |
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UD711/apache-spark-for-java-developers/01 Introduction/003 Module 1 - Introduction.mp4 |
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UD711/apache-spark-for-java-developers/01 Introduction/003 Practicals.zip |
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UD711/apache-spark-for-java-developers/01 Introduction/004 Spark Architecture and RDDs.mp4 |
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UD711/apache-spark-for-java-developers/02 Getting Started/005 Warning - Java 91011 is not supported by Spark.html |
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UD711/apache-spark-for-java-developers/02 Getting Started/006 Installing Spark.mp4 |
168.5 MB |
UD711/apache-spark-for-java-developers/03 Reduces on RDDs/007 Reduces on RDDs.mp4 |
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UD711/apache-spark-for-java-developers/04 Mapping and Outputting/008 Mapping Operations.mp4 |
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UD711/apache-spark-for-java-developers/04 Mapping and Outputting/009 Outputting Results to the Console.mp4 |
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UD711/apache-spark-for-java-developers/04 Mapping and Outputting/010 Counting Big Data Items.mp4 |
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UD711/apache-spark-for-java-developers/04 Mapping and Outputting/011 If youve had a NotSerializableException in Spark.mp4 |
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UD711/apache-spark-for-java-developers/05 Tuples/012 RDDs of Objects.mp4 |
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UD711/apache-spark-for-java-developers/05 Tuples/013 Tuples and RDDs.mp4 |
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UD711/apache-spark-for-java-developers/06 PairRDDs/014 Overview of PairRDDs.mp4 |
57 MB |
UD711/apache-spark-for-java-developers/06 PairRDDs/015 Building a PairRDD.mp4 |
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UD711/apache-spark-for-java-developers/06 PairRDDs/016 Coding a ReduceByKey.mp4 |
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UD711/apache-spark-for-java-developers/06 PairRDDs/017 Using the Fluent API.mp4 |
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UD711/apache-spark-for-java-developers/06 PairRDDs/018 Grouping By Key.mp4 |
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UD711/apache-spark-for-java-developers/07 FlatMaps and Filters/019 FlatMaps.mp4 |
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UD711/apache-spark-for-java-developers/07 FlatMaps and Filters/020 Filters.mp4 |
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UD711/apache-spark-for-java-developers/08 Reading from Disk/021 Reading from Disk.mp4 |
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UD711/apache-spark-for-java-developers/09 Keyword Ranking Practical/022 Practical Requirements.mp4 |
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UD711/apache-spark-for-java-developers/09 Keyword Ranking Practical/023 Worked Solution.mp4 |
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UD711/apache-spark-for-java-developers/09 Keyword Ranking Practical/024 Worked Solution (continued) with Sorting.mp4 |
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UD711/apache-spark-for-java-developers/10 Sorts and Coalesce/025 Why do sorts not work with foreach in Spark.mp4 |
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UD711/apache-spark-for-java-developers/10 Sorts and Coalesce/026 Why Coalesce is the Wrong Solution.mp4 |
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UD711/apache-spark-for-java-developers/10 Sorts and Coalesce/027 What is Coalesce used for in Spark.mp4 |
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UD711/apache-spark-for-java-developers/11 Deploying to AWS EMR (Optional)/028 How to start an EMR Spark Cluster.mp4 |
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UD711/apache-spark-for-java-developers/11 Deploying to AWS EMR (Optional)/029 Packing a Spark Jar for EMR.mp4 |
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UD711/apache-spark-for-java-developers/11 Deploying to AWS EMR (Optional)/030 Running a Spark Job on EMR.mp4 |
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UD711/apache-spark-for-java-developers/11 Deploying to AWS EMR (Optional)/031 Understanding the Job Progress Output.mp4 |
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UD711/apache-spark-for-java-developers/11 Deploying to AWS EMR (Optional)/032 Calculating EMR costs and Terminating the cluster.mp4 |
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UD711/apache-spark-for-java-developers/12 Joins/033 Inner Joins.mp4 |
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UD711/apache-spark-for-java-developers/12 Joins/034 Left Outer Joins and Optionals.mp4 |
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UD711/apache-spark-for-java-developers/12 Joins/035 Right Outer Joins.mp4 |
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UD711/apache-spark-for-java-developers/12 Joins/036 Full Joins and Cartesians.mp4 |
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UD711/apache-spark-for-java-developers/13 Big Data Big Exercise/037 Introducing the Requirements.mp4 |
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UD711/apache-spark-for-java-developers/13 Big Data Big Exercise/037 Practical-Guide.pdf |
651 KB |
UD711/apache-spark-for-java-developers/13 Big Data Big Exercise/038 Warmup.mp4 |
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UD711/apache-spark-for-java-developers/13 Big Data Big Exercise/039 Main Exercise Requirments.mp4 |
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UD711/apache-spark-for-java-developers/13 Big Data Big Exercise/040 Walkthrough - Step 2.mp4 |
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UD711/apache-spark-for-java-developers/13 Big Data Big Exercise/041 Walkthrough - Step 3.mp4 |
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UD711/apache-spark-for-java-developers/13 Big Data Big Exercise/042 Walkthrough - Step 4.mp4 |
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UD711/apache-spark-for-java-developers/13 Big Data Big Exercise/043 Walkthrough - Step 5.mp4 |
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UD711/apache-spark-for-java-developers/13 Big Data Big Exercise/044 Walkthrough - Step 6.mp4 |
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UD711/apache-spark-for-java-developers/13 Big Data Big Exercise/045 Walkthrough - Step 7.mp4 |
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UD711/apache-spark-for-java-developers/13 Big Data Big Exercise/046 Walkthrough - Step 8.mp4 |
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UD711/apache-spark-for-java-developers/13 Big Data Big Exercise/047 Walkthrough - Step 9 adding titles and using the Big Data file.mp4 |
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UD711/apache-spark-for-java-developers/14 RDD Performance/048 Transformations and Actions.mp4 |
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UD711/apache-spark-for-java-developers/14 RDD Performance/049 The DAG and SparkUI.mp4 |
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UD711/apache-spark-for-java-developers/14 RDD Performance/050 Narrow vs Wide Transformations.mp4 |
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UD711/apache-spark-for-java-developers/14 RDD Performance/051 Shuffles.mp4 |
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UD711/apache-spark-for-java-developers/14 RDD Performance/052 Dealing with Key Skews.mp4 |
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UD711/apache-spark-for-java-developers/14 RDD Performance/053 Avoiding groupByKey and using map-side-reduces instead.mp4 |
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UD711/apache-spark-for-java-developers/14 RDD Performance/054 Caching and Persistence.mp4 |
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UD711/apache-spark-for-java-developers/15 Module 2 - Chapter 1 SparkSQL Introduction/055 Code for SQLDataFrames Section.html |
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UD711/apache-spark-for-java-developers/15 Module 2 - Chapter 1 SparkSQL Introduction/055 Code.zip |
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UD711/apache-spark-for-java-developers/15 Module 2 - Chapter 1 SparkSQL Introduction/056 Introducing SparkSQL.mp4 |
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UD711/apache-spark-for-java-developers/16 SparkSQL Getting Started/057 SparkSQL Getting Started.mp4 |
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UD711/apache-spark-for-java-developers/17 Datasets/058 Dataset Basics.mp4 |
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UD711/apache-spark-for-java-developers/17 Datasets/059 Filters using Expressions.mp4 |
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UD711/apache-spark-for-java-developers/17 Datasets/060 Filters using Lambdas.mp4 |
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UD711/apache-spark-for-java-developers/17 Datasets/061 Filters using Columns.mp4 |
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UD711/apache-spark-for-java-developers/18 The Full SQL Syntax/062 Using a Spark Temporary View for SQL.mp4 |
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UD711/apache-spark-for-java-developers/19 In Memory Data/063 In Memory Data.mp4 |
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UD711/apache-spark-for-java-developers/20 Groupings and Aggregations/064 Groupings and Aggregations.mp4 |
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UD711/apache-spark-for-java-developers/21 Date Formatting/065 Date Formatting.mp4 |
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UD711/apache-spark-for-java-developers/22 Multiple Groupings/066 Multiple Groupings.mp4 |
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UD711/apache-spark-for-java-developers/23 Ordering/067 Ordering.mp4 |
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UD711/apache-spark-for-java-developers/24 DataFrames API/068 SQL vs DataFrames.mp4 |
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UD711/apache-spark-for-java-developers/24 DataFrames API/069 DataFrame Grouping.mp4 |
137 MB |
UD711/apache-spark-for-java-developers/25 Pivot Tables/070 How does a Pivot Table work.mp4 |
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UD711/apache-spark-for-java-developers/25 Pivot Tables/071 Coding a Pivot Table in Spark.mp4 |
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UD711/apache-spark-for-java-developers/26 More Aggregations/072 How to use the agg method in Spark.mp4 |
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UD711/apache-spark-for-java-developers/27 Practical Exercise/073 Building a Pivot Table with Multiple Aggregations.mp4 |
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UD711/apache-spark-for-java-developers/28 User Defined Functions/074 How to use a Lambda to write a UDF in Spark.mp4 |
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UD711/apache-spark-for-java-developers/28 User Defined Functions/075 Using more than one input parameter in Spark UDF.mp4 |
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UD711/apache-spark-for-java-developers/28 User Defined Functions/076 Using a UDF in Spark SQL.mp4 |
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UD711/apache-spark-for-java-developers/29 SparkSQL Performance/077 Understand the SparkUI for SparkSQL.mp4 |
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UD711/apache-spark-for-java-developers/29 SparkSQL Performance/078 How does SQL and DataFrame performance compare.mp4 |
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UD711/apache-spark-for-java-developers/29 SparkSQL Performance/079 Update - Setting spark.sql.shuffle.partitions.mp4 |
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UD711/apache-spark-for-java-developers/30 HashAggregation/080 Explaining Execution Plans.mp4 |
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UD711/apache-spark-for-java-developers/30 HashAggregation/081 How does HashAggregation work.mp4 |
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UD711/apache-spark-for-java-developers/30 HashAggregation/082 How can I force Spark to use HashAggregation.mp4 |
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UD711/apache-spark-for-java-developers/30 HashAggregation/083 SQL vs DataFrames Performance Results.mp4 |
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UD711/apache-spark-for-java-developers/31 SparkSQL Performance vs RDDs/084 SparkSQL Performance vs RDDs.mp4 |
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UD711/apache-spark-for-java-developers/32 Module 3 - SparkML for Machine Learning/085 Code.zip |
9 MB |
UD711/apache-spark-for-java-developers/32 Module 3 - SparkML for Machine Learning/085 Welcome to Module 3.html |
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UD711/apache-spark-for-java-developers/32 Module 3 - SparkML for Machine Learning/086 What is Machine Learning.mp4 |
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UD711/apache-spark-for-java-developers/32 Module 3 - SparkML for Machine Learning/087 Coming up in this Module - and introducing Kaggle.mp4 |
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UD711/apache-spark-for-java-developers/32 Module 3 - SparkML for Machine Learning/088 Supervised vs Unsupervised Learning.mp4 |
40.4 MB |
UD711/apache-spark-for-java-developers/32 Module 3 - SparkML for Machine Learning/089 The Model Building Process.mp4 |
65.5 MB |
UD711/apache-spark-for-java-developers/33 Linear Regression Models/090 Introducing Linear Regression.mp4 |
26.6 MB |
UD711/apache-spark-for-java-developers/33 Linear Regression Models/091 Beginning Coding Linear Regressions.mp4 |
56 MB |
UD711/apache-spark-for-java-developers/33 Linear Regression Models/092 Assembling a Vector of Features.mp4 |
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UD711/apache-spark-for-java-developers/33 Linear Regression Models/093 Model Fitting.mp4 |
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UD711/apache-spark-for-java-developers/34 Training Data/094 Training vs Test and Holdout Data.mp4 |
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UD711/apache-spark-for-java-developers/34 Training Data/095 Using data from Kaggle.mp4 |
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UD711/apache-spark-for-java-developers/34 Training Data/096 Practical Walkthrough.mp4 |
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UD711/apache-spark-for-java-developers/34 Training Data/097 Splitting Training Data with Random Splits.mp4 |
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UD711/apache-spark-for-java-developers/34 Training Data/098 Assessing Model Accuracy with R2 and RMSE.mp4 |
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UD711/apache-spark-for-java-developers/35 Model Fitting Parameters/099 Setting Linear Regression Parameters.mp4 |
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UD711/apache-spark-for-java-developers/35 Model Fitting Parameters/100 Training Test and Holdout Data.mp4 |
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UD711/apache-spark-for-java-developers/36 Feature Selection/101 Describing the Features.mp4 |
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UD711/apache-spark-for-java-developers/36 Feature Selection/102 Correlation of Fetures.mp4 |
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UD711/apache-spark-for-java-developers/36 Feature Selection/103 Identifying and Eliminating Duplicated Features.mp4 |
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UD711/apache-spark-for-java-developers/36 Feature Selection/104 Data Preparation.mp4 |
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UD711/apache-spark-for-java-developers/37 Non-Numeric Data/105 Using OneHotEncoding.mp4 |
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UD711/apache-spark-for-java-developers/37 Non-Numeric Data/106 Understanding Vectors.mp4 |
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UD711/apache-spark-for-java-developers/38 Pipelines/107 Pipelines.mp4 |
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UD711/apache-spark-for-java-developers/39 Case Study/108 Requirements.mp4 |
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UD711/apache-spark-for-java-developers/39 Case Study/109 Case Study - Walkthrough Part 1.mp4 |
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UD711/apache-spark-for-java-developers/39 Case Study/110 Case Study - Walkthrough Part 2.mp4 |
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UD711/apache-spark-for-java-developers/40 Logistic Regression/111 Code for chapters 9-12.html |
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UD711/apache-spark-for-java-developers/40 Logistic Regression/111 MLCodeChapters9-12.zip |
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UD711/apache-spark-for-java-developers/40 Logistic Regression/112 TrueFalse Negatives and Postives.mp4 |
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UD711/apache-spark-for-java-developers/40 Logistic Regression/113 Coding a Logistic Regression.mp4 |
229.9 MB |
UD711/apache-spark-for-java-developers/41 Decision Trees/114 Overview of Decision Trees.mp4 |
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UD711/apache-spark-for-java-developers/41 Decision Trees/115 Building the Model.mp4 |
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UD711/apache-spark-for-java-developers/41 Decision Trees/116 Interpreting a Decision Tree.mp4 |
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UD711/apache-spark-for-java-developers/41 Decision Trees/117 Random Forests.mp4 |
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UD711/apache-spark-for-java-developers/42 K Means Clustering/118 K Means Clustering.mp4 |
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UD711/apache-spark-for-java-developers/43 Recommender Systems/119 Overview and Matrix Factorisation.mp4 |
34.9 MB |
UD711/apache-spark-for-java-developers/43 Recommender Systems/120 Building the Model.mp4 |
257.7 MB |
UD711/apache-spark-for-java-developers/44 Module 4 -Spark Streaming and Structured Streaming with Kafka/121 Code.zip |
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UD711/apache-spark-for-java-developers/44 Module 4 -Spark Streaming and Structured Streaming with Kafka/121 Welcome to Module 4 - Spark Streaming.html |
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UD711/apache-spark-for-java-developers/44 Module 4 -Spark Streaming and Structured Streaming with Kafka/122 Streaming Chapter 1 - Introduction to Streaming.mp4 |
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UD711/apache-spark-for-java-developers/44 Module 4 -Spark Streaming and Structured Streaming with Kafka/123 DStreams.mp4 |
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UD711/apache-spark-for-java-developers/44 Module 4 -Spark Streaming and Structured Streaming with Kafka/123 LoggingServer.zip |
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UD711/apache-spark-for-java-developers/44 Module 4 -Spark Streaming and Structured Streaming with Kafka/124 Starting a Streaming Job.mp4 |
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UD711/apache-spark-for-java-developers/44 Module 4 -Spark Streaming and Structured Streaming with Kafka/125 Streaming Transformations.mp4 |
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UD711/apache-spark-for-java-developers/44 Module 4 -Spark Streaming and Structured Streaming with Kafka/126 Streaming Aggregations.mp4 |
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UD711/apache-spark-for-java-developers/44 Module 4 -Spark Streaming and Structured Streaming with Kafka/127 SparkUI for Streaming Jobs.mp4 |
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UD711/apache-spark-for-java-developers/44 Module 4 -Spark Streaming and Structured Streaming with Kafka/128 Windowing Batches.mp4 |
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UD711/apache-spark-for-java-developers/45 Streaming Chapter 2 - Streaming with Apache Kafka/129 Overview of Kafka.mp4 |
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UD711/apache-spark-for-java-developers/45 Streaming Chapter 2 - Streaming with Apache Kafka/130 Installing Kafka.mp4 |
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UD711/apache-spark-for-java-developers/45 Streaming Chapter 2 - Streaming with Apache Kafka/131 Using a Kafka Event Simulator.mp4 |
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UD711/apache-spark-for-java-developers/45 Streaming Chapter 2 - Streaming with Apache Kafka/131 viewing-figures-generation.zip |
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UD711/apache-spark-for-java-developers/45 Streaming Chapter 2 - Streaming with Apache Kafka/132 Integrating Kafka with Spark.mp4 |
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UD711/apache-spark-for-java-developers/45 Streaming Chapter 2 - Streaming with Apache Kafka/133 Using KafkaUtils to access a DStream.mp4 |
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UD711/apache-spark-for-java-developers/45 Streaming Chapter 2 - Streaming with Apache Kafka/134 Writing a Kafka Aggegration.mp4 |
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UD711/apache-spark-for-java-developers/45 Streaming Chapter 2 - Streaming with Apache Kafka/135 Adding a Window.mp4 |
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UD711/apache-spark-for-java-developers/45 Streaming Chapter 2 - Streaming with Apache Kafka/136 Adding a Slide Interval.mp4 |
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UD711/apache-spark-for-java-developers/46 Streaming Chapter 3- Structured Streaming/137 Structured Streaming Overview.mp4 |
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UD711/apache-spark-for-java-developers/46 Streaming Chapter 3- Structured Streaming/138 Data Sinks.mp4 |
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UD711/apache-spark-for-java-developers/46 Streaming Chapter 3- Structured Streaming/139 Structured Streaming Output Modes.mp4 |
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UD711/apache-spark-for-java-developers/46 Streaming Chapter 3- Structured Streaming/140 Windows and Watermarks.mp4 |
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UD711/apache-spark-for-java-developers/46 Streaming Chapter 3- Structured Streaming/141 What is the Batch Size in Structured Streaming.mp4 |
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UD711/apache-spark-for-java-developers/46 Streaming Chapter 3- Structured Streaming/142 Kafka Structured Streaming Pipelines.mp4 |
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UD711/apache-spark-for-java-developers/46 Streaming Chapter 3- Structured Streaming/143 Bonus lecture.html |
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