[FreeCourseSite com] Udemy Apache Spark for Java Developers Torrent Download Locations

[FreeCourseSite.com] Udemy - Apache Spark for Java Developers
    1. Introduction
          1. Welcome.mp4 -

          1. Welcome.vtt -

          2. Downloading the Code.html -

          3. Module 1 - Introduction.mp4 -

          3. Module 1 - Introduction.vtt -

          3.1 Practicals.zip.zip -

          4. Spark Architecture and RDDs.mp4 -

          4. Spark Architecture and RDDs.vtt -

    10. Sorts and Coalesce
          1. Why do sorts not work with foreach in Spark.mp4 -

          1. Why do sorts not work with foreach in Spark.vtt -

          2. Why Coalesce is the Wrong Solution.mp4 -

          2. Why Coalesce is the Wrong Solution.vtt -

          3. What is Coalesce used for in Spark.mp4 -

          3. What is Coalesce used for in Spark.vtt -

    11. Deploying to AWS EMR (Optional)
          1. How to start an EMR Spark Cluster.mp4 -

          1. How to start an EMR Spark Cluster.vtt -

          2. Packing a Spark Jar for EMR.mp4 -

          2. Packing a Spark Jar for EMR.vtt -

          3. Running a Spark Job on EMR.mp4 -

          3. Running a Spark Job on EMR.vtt -

          4. Understanding the Job Progress Output.mp4 -

          4. Understanding the Job Progress Output.vtt -

          5. Calculating EMR costs and Terminating the cluster.mp4 -

          5. Calculating EMR costs and Terminating the cluster.vtt -

    12. Joins
          1. Inner Joins.mp4 -

          1. Inner Joins.vtt -

          2. Left Outer Joins and Optionals.mp4 -

          2. Left Outer Joins and Optionals.vtt -

          3. Right Outer Joins.mp4 -

          3. Right Outer Joins.vtt -

          4. Full Joins and Cartesians.mp4 -

          4. Full Joins and Cartesians.vtt -

    13. Big Data Big Exercise
          1. Introducing the Requirements.mp4 -

          1. Introducing the Requirements.vtt -

          1.1 Practical Guide.pdf.pdf -

          10. Walkthrough - Step 8.mp4 -

          10. Walkthrough - Step 8.vtt -

          11. Walkthrough - Step 9, adding titles and using the Big Data file.mp4 -

          11. Walkthrough - Step 9, adding titles and using the Big Data file.vtt -

          2. Warmup.mp4 -

          2. Warmup.vtt -

          3. Main Exercise Requirments.mp4 -

          3. Main Exercise Requirments.vtt -

          4. Walkthrough - Step 2.mp4 -

          4. Walkthrough - Step 2.vtt -

          5. Walkthrough - Step 3.mp4 -

          5. Walkthrough - Step 3.vtt -

          6. Walkthrough - Step 4.mp4 -

          6. Walkthrough - Step 4.vtt -

          7. Walkthrough - Step 5.mp4 -

          7. Walkthrough - Step 5.vtt -

          8. Walkthrough - Step 6.mp4 -

          8. Walkthrough - Step 6.vtt -

          9. Walkthrough - Step 7.mp4 -

          9. Walkthrough - Step 7.vtt -

    14. RDD Performance
          1. Transformations and Actions.mp4 -

          1. Transformations and Actions.vtt -

          2. The DAG and SparkUI.mp4 -

          2. The DAG and SparkUI.vtt -

          3. Narrow vs Wide Transformations.mp4 -

          3. Narrow vs Wide Transformations.vtt -

          4. Shuffles.mp4 -

          4. Shuffles.vtt -

          5. Dealing with Key Skews.mp4 -

          5. Dealing with Key Skews.vtt -

          6. Avoiding groupByKey and using map-side-reduces instead.mp4 -

          6. Avoiding groupByKey and using map-side-reduces instead.vtt -

          7. Caching and Persistence.mp4 -

          7. Caching and Persistence.vtt -

    15. Module 2 - Chapter 1 SparkSQL Introduction
          1. Code for SQLDataFrames Section.html -

          1.1 biglog.txt.txt -

          1.2 Code.zip.zip -

          2. Introducing SparkSQL.mp4 -

          2. Introducing SparkSQL.vtt -

    16. SparkSQL Getting Started
          1. SparkSQL Getting Started.mp4 -

          1. SparkSQL Getting Started.vtt -

    17. Datasets
          1. Dataset Basics.mp4 -

          1. Dataset Basics.vtt -

          2. Filters using Expressions.mp4 -

          2. Filters using Expressions.vtt -

          3. Filters using Lambdas.mp4 -

          3. Filters using Lambdas.vtt -

          4. Filters using Columns.mp4 -

          4. Filters using Columns.vtt -

    18. The Full SQL Syntax
          1. Using a Spark Temporary View for SQL.mp4 -

          1. Using a Spark Temporary View for SQL.vtt -

    19. In Memory Data
          1. In Memory Data.mp4 -

          1. In Memory Data.vtt -

    2. Getting Started
          1. Warning - Java 91011 is not supported by Spark.html -

          2. Installing Spark.mp4 -

          2. Installing Spark.vtt -

    20. Groupings and Aggregations
          1. Groupings and Aggregations.mp4 -

          1. Groupings and Aggregations.vtt -

    21. Date Formatting
          1. Date Formatting.mp4 -

          1. Date Formatting.vtt -

    22. Multiple Groupings
          1. Multiple Groupings.mp4 -

          1. Multiple Groupings.vtt -

    23. Ordering
          1. Ordering.mp4 -

          1. Ordering.vtt -

    24. DataFrames API
          1. SQL vs DataFrames.mp4 -

          1. SQL vs DataFrames.vtt -

          2. DataFrame Grouping.mp4 -

          2. DataFrame Grouping.vtt -

    25. Pivot Tables
          1. How does a Pivot Table work.mp4 -

          1. How does a Pivot Table work.vtt -

          2. Coding a Pivot Table in Spark.mp4 -

          2. Coding a Pivot Table in Spark.vtt -

    26. More Aggregations
          1. How to use the agg method in Spark.mp4 -

          1. How to use the agg method in Spark.vtt -

    27. Practical Exercise
          1. Building a Pivot Table with Multiple Aggregations.mp4 -

          1. Building a Pivot Table with Multiple Aggregations.vtt -

    28. User Defined Functions
          1. How to use a Lambda to write a UDF in Spark.mp4 -

          1. How to use a Lambda to write a UDF in Spark.vtt -

          2. Using more than one input parameter in Spark UDF.mp4 -

          2. Using more than one input parameter in Spark UDF.vtt -

          3. Using a UDF in Spark SQL.mp4 -

          3. Using a UDF in Spark SQL.vtt -

    29. SparkSQL Performance
          1. Understand the SparkUI for SparkSQL.mp4 -

          1. Understand the SparkUI for SparkSQL.vtt -

          2. How does SQL and DataFrame performance compare.mp4 -

          2. How does SQL and DataFrame performance compare.vtt -

          3. Update - Setting spark.sql.shuffle.partitions.mp4 -

          3. Update - Setting spark.sql.shuffle.partitions.vtt -

    3. Reduces on RDDs
          1. Reduces on RDDs.mp4 -

          1. Reduces on RDDs.vtt -

    30. HashAggregation
          1. Explaining Execution Plans.mp4 -

          1. Explaining Execution Plans.vtt -

          2. How does HashAggregation work.mp4 -

          2. How does HashAggregation work.vtt -

          3. How can I force Spark to use HashAggregation.mp4 -

          3. How can I force Spark to use HashAggregation.vtt -

          4. SQL vs DataFrames Performance Results.mp4 -

          4. SQL vs DataFrames Performance Results.vtt -

    31. SparkSQL Performance vs RDDs
          1. SparkSQL Performance vs RDDs.mp4 -

          1. SparkSQL Performance vs RDDs.vtt -

    32. Module 3 - SparkML for Machine Learning
          1. Welcome to Module 3.html -

          1.1 MLCode.zip.zip -

          2. What is Machine Learning.mp4 -

          2. What is Machine Learning.vtt -

          3. Coming up in this Module - and introducing Kaggle.mp4 -

          3. Coming up in this Module - and introducing Kaggle.vtt -

          4. Supervised vs Unsupervised Learning.mp4 -

          4. Supervised vs Unsupervised Learning.vtt -

          5. The Model Building Process.mp4 -

          5. The Model Building Process.vtt -

    33. Linear Regression Models
          1. Introducing Linear Regression.mp4 -

          1. Introducing Linear Regression.vtt -

          2. Beginning Coding Linear Regressions.mp4 -

          2. Beginning Coding Linear Regressions.vtt -

          3. Assembling a Vector of Features.mp4 -