Udemy Apache Spark for Java Developers | 536C359C7ABD62FEE7F59569B87A978AEC9E147B

Udemy Apache Spark for Java Developers

Name	Udemy - Apache Spark for Java Developers	DOWNLOAD Copy Link
Total Size	12.2 GB
Total Files	285
Hash	536C359C7ABD62FEE7F59569B87A978AEC9E147B

/43. Recommender Systems/
2. Building the Model.mp4	270.2 MB
1. Overview and Matrix Factorisation.mp4	36.6 MB
1. Overview and Matrix Factorisation.vtt	6.6 KB
2. Building the Model.vtt	29.4 KB
/1. Introduction/
1. Welcome.vtt	4.0 KB
2. Downloading the Code.html	0.4 KB
3. Module 1 - Introduction.mp4	60.7 MB
3. Module 1 - Introduction.vtt	5.4 KB
3.1 Practicals.zip.zip	83.1 MB
1. Welcome.mp4	54.0 MB
/2. Getting Started/
1. Warning - Java 91011 is not supported by Spark.html	1.3 KB
2. Installing Spark.mp4	176.6 MB
2. Installing Spark.vtt	23.8 KB
/3. Reduces on RDDs/
1. Reduces on RDDs.mp4	92.6 MB
1. Reduces on RDDs.vtt	15.1 KB
/4. Mapping and Outputting/
1. Mapping Operations.mp4	47.4 MB
1. Mapping Operations.vtt	7.6 KB
2. Outputting Results to the Console.mp4	43.8 MB
2. Outputting Results to the Console.vtt	5.6 KB
3. Counting Big Data Items.mp4	49.4 MB
3. Counting Big Data Items.vtt	6.9 KB
4. If you've had a NotSerializableException in Spark.mp4	51.0 MB
4. If you've had a NotSerializableException in Spark.vtt	6.7 KB
/5. Tuples/
1. RDDs of Objects.mp4	61.8 MB
1. RDDs of Objects.vtt	8.6 KB
2. Tuples and RDDs.mp4	75.4 MB
2. Tuples and RDDs.vtt	10.6 KB
/6. PairRDDs/
1. Overview of PairRDDs.mp4	59.8 MB
1. Overview of PairRDDs.vtt	10.0 KB
2. Building a PairRDD.mp4	81.4 MB
2. Building a PairRDD.vtt	10.7 KB
3. Coding a ReduceByKey.mp4	82.3 MB
3. Coding a ReduceByKey.vtt	13.0 KB
4. Using the Fluent API.mp4	65.9 MB
4. Using the Fluent API.vtt	7.5 KB
5. Grouping By Key.mp4	55.1 MB
5. Grouping By Key.vtt	5.6 KB
/7. FlatMaps and Filters/
1. FlatMaps.mp4	72.4 MB
1. FlatMaps.vtt	10.3 KB
2. Filters.mp4	44.1 MB
2. Filters.vtt	5.4 KB
/8. Reading from Disk/
1. Reading from Disk.mp4	144.7 MB
1. Reading from Disk.vtt	14.3 KB
/9. Keyword Ranking Practical/
1. Practical Requirements.mp4	111.6 MB
1. Practical Requirements.vtt	12.9 KB
2. Worked Solution.mp4	142.6 MB
2. Worked Solution.vtt	17.3 KB
3. Worked Solution (continued) with Sorting.mp4	163.8 MB
3. Worked Solution (continued) with Sorting.vtt	15.7 KB
/10. Sorts and Coalesce/
1. Why do sorts not work with foreach in Spark.mp4	92.5 MB
1. Why do sorts not work with foreach in Spark.vtt	10.9 KB
2. Why Coalesce is the Wrong Solution.mp4	114.8 MB
2. Why Coalesce is the Wrong Solution.vtt	15.1 KB
3. What is Coalesce used for in Spark.mp4	35.3 MB
3. What is Coalesce used for in Spark.vtt	5.2 KB
/11. Deploying to AWS EMR (Optional)/
1. How to start an EMR Spark Cluster.mp4	88.7 MB
1. How to start an EMR Spark Cluster.vtt	12.0 KB
2. Packing a Spark Jar for EMR.mp4	99.3 MB
2. Packing a Spark Jar for EMR.vtt	12.5 KB
3. Running a Spark Job on EMR.mp4	64.4 MB
3. Running a Spark Job on EMR.vtt	9.0 KB
4. Understanding the Job Progress Output.mp4	37.0 MB
4. Understanding the Job Progress Output.vtt	6.1 KB
5. Calculating EMR costs and Terminating the cluster.mp4	39.7 MB
5. Calculating EMR costs and Terminating the cluster.vtt	5.3 KB
/12. Joins/
1. Inner Joins.mp4	54.4 MB
1. Inner Joins.vtt	8.8 KB
2. Left Outer Joins and Optionals.mp4	91.9 MB
2. Left Outer Joins and Optionals.vtt	31.7 MB
3. Right Outer Joins.mp4	31.4 MB
3. Right Outer Joins.vtt	4.1 KB
4. Full Joins and Cartesians.mp4	22.4 MB
4. Full Joins and Cartesians.vtt	4.2 KB
/13. Big Data Big Exercise/
1. Introducing the Requirements.mp4	18.3 MB
1. Introducing the Requirements.vtt	5.5 KB
1.1 Practical Guide.pdf.pdf	666.1 KB
2. Warmup.mp4	71.5 MB
2. Warmup.vtt	9.6 KB
3. Main Exercise Requirments.mp4	36.3 MB
3. Main Exercise Requirments.vtt	7.9 KB
4. Walkthrough - Step 2.mp4	35.5 MB
4. Walkthrough - Step 2.vtt	5.1 KB
5. Walkthrough - Step 3.mp4	48.8 MB
5. Walkthrough - Step 3.vtt	7.0 KB
6. Walkthrough - Step 4.mp4	14.5 MB
6. Walkthrough - Step 4.vtt	2.2 KB
7. Walkthrough - Step 5.mp4	20.0 MB
7. Walkthrough - Step 5.vtt	3.0 KB
8. Walkthrough - Step 6.mp4	24.2 MB
8. Walkthrough - Step 6.vtt	4.3 KB
9. Walkthrough - Step 7.mp4	22.2 MB
9. Walkthrough - Step 7.vtt	3.0 KB
10. Walkthrough - Step 8.mp4	21.3 MB
10. Walkthrough - Step 8.vtt	2.6 KB
11. Walkthrough - Step 9, adding titles and using the Big Data file.mp4	62.1 MB
11. Walkthrough - Step 9, adding titles and using the Big Data file.vtt	6.3 KB
/14. RDD Performance/
1. Transformations and Actions.mp4	110.8 MB
1. Transformations and Actions.vtt	12.1 KB
2. The DAG and SparkUI.mp4	45.4 MB
2. The DAG and SparkUI.vtt	7.4 KB
3. Narrow vs Wide Transformations.mp4	68.7 MB
3. Narrow vs Wide Transformations.vtt	11.7 KB
4. Shuffles.mp4	140.2 MB
4. Shuffles.vtt	19.0 KB
5. Dealing with Key Skews.mp4	45.0 MB
5. Dealing with Key Skews.vtt	7.9 KB
6. Avoiding groupByKey and using map-side-reduces instead.mp4	35.7 MB
6. Avoiding groupByKey and using map-side-reduces instead.vtt	7.4 KB
7. Caching and Persistence.mp4	196.2 MB
7. Caching and Persistence.vtt	24.6 KB
/15. Module 2 - Chapter 1 SparkSQL Introduction/
1. Code for SQLDataFrames Section.html	0.4 KB
1.1 biglog.txt.txt	25.5 MB
1.2 Code.zip.zip	23.2 MB
2. Introducing SparkSQL.mp4	35.2 MB
2. Introducing SparkSQL.vtt	6.8 KB
/16. SparkSQL Getting Started/
1. SparkSQL Getting Started.mp4	208.6 MB
1. SparkSQL Getting Started.vtt	22.5 KB
/17. Datasets/
1. Dataset Basics.mp4	76.0 MB
1. Dataset Basics.vtt	7.4 KB
2. Filters using Expressions.mp4	72.0 MB
2. Filters using Expressions.vtt	7.3 KB
3. Filters using Lambdas.mp4	38.5 MB
3. Filters using Lambdas.vtt	4.1 KB
4. Filters using Columns.mp4	145.7 MB
4. Filters using Columns.vtt	11.4 KB
/18. The Full SQL Syntax/
1. Using a Spark Temporary View for SQL.mp4	126.5 MB
1. Using a Spark Temporary View for SQL.vtt	14.8 KB
/19. In Memory Data/
1. In Memory Data.mp4	146.5 MB
1. In Memory Data.vtt	16.4 KB
/20. Groupings and Aggregations/
1. Groupings and Aggregations.mp4	101.8 MB
1. Groupings and Aggregations.vtt	14.5 KB
/21. Date Formatting/
1. Date Formatting.mp4	63.6 MB
1. Date Formatting.vtt	7.1 KB
/22. Multiple Groupings/
1. Multiple Groupings.mp4	145.6 MB
1. Multiple Groupings.vtt	15.4 KB
/23. Ordering/
1. Ordering.mp4	153.5 MB
1. Ordering.vtt	18.1 KB
/24. DataFrames API/
1. SQL vs DataFrames.mp4	154.3 MB
1. SQL vs DataFrames.vtt	16.0 KB
2. DataFrame Grouping.mp4	143.6 MB
2. DataFrame Grouping.vtt	14.5 KB
/25. Pivot Tables/
1. How does a Pivot Table work.mp4	41.1 MB
1. How does a Pivot Table work.vtt	7.2 KB
2. Coding a Pivot Table in Spark.mp4	173.6 MB
2. Coding a Pivot Table in Spark.vtt	16.8 KB
/26. More Aggregations/
1. How to use the agg method in Spark.mp4	205.5 MB
1. How to use the agg method in Spark.vtt	20.7 KB
/27. Practical Exercise/
1. Building a Pivot Table with Multiple Aggregations.mp4	84.6 MB
1. Building a Pivot Table with Multiple Aggregations.vtt	9.6 KB
/28. User Defined Functions/
1. How to use a Lambda to write a UDF in Spark.mp4	92.7 MB
1. How to use a Lambda to write a UDF in Spark.vtt	11.2 KB
2. Using more than one input parameter in Spark UDF.mp4	47.2 MB
2. Using more than one input parameter in Spark UDF.vtt	5.7 KB
3. Using a UDF in Spark SQL.mp4	98.7 MB
3. Using a UDF in Spark SQL.vtt	10.0 KB
/29. SparkSQL Performance/
1. Understand the SparkUI for SparkSQL.mp4	176.4 MB
1. Understand the SparkUI for SparkSQL.vtt	20.4 KB
2. How does SQL and DataFrame performance compare.mp4	64.4 MB
2. How does SQL and DataFrame performance compare.vtt	7.9 KB
3. Update - Setting spark.sql.shuffle.partitions.mp4	94.9 MB
3. Update - Setting spark.sql.shuffle.partitions.vtt	9.7 KB
/30. HashAggregation/
1. Explaining Execution Plans.mp4	98.5 MB
1. Explaining Execution Plans.vtt	8.7 KB
2. How does HashAggregation work.mp4	114.3 MB
2. How does HashAggregation work.vtt	16.9 KB
3. How can I force Spark to use HashAggregation.mp4	116.0 MB
3. How can I force Spark to use HashAggregation.vtt	14.8 KB
4. SQL vs DataFrames Performance Results.mp4	12.1 MB
4. SQL vs DataFrames Performance Results.vtt	2.7 KB
/31. SparkSQL Performance vs RDDs/
1. SparkSQL Performance vs RDDs.mp4	79.1 MB
1. SparkSQL Performance vs RDDs.vtt	8.0 KB
/32. Module 3 - SparkML for Machine Learning/
1. Welcome to Module 3.html	0.3 KB
1.1 MLCode.zip.zip	5.8 MB
2. What is Machine Learning.mp4	27.9 MB
2. What is Machine Learning.vtt	4.8 KB
3. Coming up in this Module - and introducing Kaggle.mp4	23.7 MB
3. Coming up in this Module - and introducing Kaggle.vtt	3.5 KB
4. Supervised vs Unsupervised Learning.mp4	42.3 MB
4. Supervised vs Unsupervised Learning.vtt	11.4 KB
5. The Model Building Process.mp4	68.7 MB
5. The Model Building Process.vtt	9.8 KB
/33. Linear Regression Models/
1. Introducing Linear Regression.mp4	27.9 MB
1. Introducing Linear Regression.vtt	7.5 KB
2. Beginning Coding Linear Regressions.mp4	58.7 MB
2. Beginning Coding Linear Regressions.vtt	7.7 KB
3. Assembling a Vector of Features.mp4	85.5 MB
3. Assembling a Vector of Features.vtt	11.5 KB
4. Model Fitting.mp4	66.3 MB
4. Model Fitting.vtt	8.4 KB
/34. Training Data/
1. Training vs Test and Holdout Data.mp4	23.9 MB
1. Training vs Test and Holdout Data.vtt	5.9 KB
2. Using data from Kaggle.mp4	51.3 MB
2. Using data from Kaggle.vtt	6.3 KB
3. Practical Walkthrough.mp4	49.3 MB
3. Practical Walkthrough.vtt	4.9 KB
4. Splitting Training Data with Random Splits.mp4	48.4 MB
4. Splitting Training Data with Random Splits.vtt	5.9 KB
5. Assessing Model Accuracy with R2 and RMSE.mp4	70.4 MB
5. Assessing Model Accuracy with R2 and RMSE.vtt	8.7 KB
/35. Model Fitting Parameters/
1. Setting Linear Regression Parameters.mp4	118.4 MB
1. Setting Linear Regression Parameters.vtt	14.4 KB
2. Training, Test and Holdout Data.mp4	129.0 MB
2. Training, Test and Holdout Data.vtt	15.9 KB
/36. Feature Selection/
1. Describing the Features.mp4	98.2 MB
1. Describing the Features.vtt	17.1 KB
2. Correlation of Fetures.mp4	65.0 MB
2. Correlation of Fetures.vtt	7.4 KB
3. Identifying and Eliminating Duplicated Features.mp4	124.9 MB
3. Identifying and Eliminating Duplicated Features.vtt	14.4 KB
4. Data Preparation.mp4	10.5 MB
4. Data Preparation.vtt	4.9 KB
/37. Non-Numeric Data/
1. Using OneHotEncoding.mp4	122.0 MB
1. Using OneHotEncoding.vtt	16.5 KB
2. Understanding Vectors.mp4	131.4 MB
2. Understanding Vectors.vtt	13.5 KB
/38. Pipelines/
1. Pipelines.mp4	234.0 MB
1. Pipelines.vtt	23.6 KB
/39. Case Study/
1. Requirements.mp4	58.4 MB
1. Requirements.vtt	14.3 KB
2. Case Study - Walkthrough Part 1.mp4	158.9 MB
2. Case Study - Walkthrough Part 1.vtt	14.0 KB
3. Case Study - Walkthrough Part 2.mp4	146.9 MB
3. Case Study - Walkthrough Part 2.vtt	13.1 KB
/40. Logistic Regression/
1. Code for chapters 9-12.html	0.2 KB
1.1 MLCodeChapters9-12.zip.zip	3.6 MB
2. TrueFalse Negatives and Postives.mp4	34.7 MB
2. TrueFalse Negatives and Postives.vtt	9.9 KB
3. Coding a Logistic Regression.mp4	241.1 MB
3. Coding a Logistic Regression.vtt	22.9 KB
/41. Decision Trees/
1. Overview of Decision Trees.mp4	95.7 MB
1. Overview of Decision Trees.vtt	16.2 KB
2. Building the Model.mp4	265.6 MB
2. Building the Model.vtt	25.5 KB
3. Interpreting a Decision Tree.mp4	53.2 MB
3. Interpreting a Decision Tree.vtt	6.8 KB
4. Random Forests.mp4	67.2 MB
4. Random Forests.vtt	7.0 KB
/42. K Means Clustering/
1. K Means Clustering.mp4	221.8 MB
1. K Means Clustering.vtt	25.0 KB
/44. Module 4 -Spark Streaming and Structured Streaming with Kafka/
1. Welcome to Module 4 - Spark Streaming.html	0.3 KB
1.1 Code.zip.zip	15.3 MB
2. Streaming Chapter 1 - Introduction to Streaming.mp4	54.2 MB
2. Streaming Chapter 1 - Introduction to Streaming.vtt	9.5 KB
3. DStreams.mp4	52.2 MB
3. DStreams.vtt	8.7 KB
3.1 LoggingServer.zip.zip	0.6 KB
4. Starting a Streaming Job.mp4	134.1 MB
4. Starting a Streaming Job.vtt	13.7 KB
5. Streaming Transformations.mp4	102.8 MB
5. Streaming Transformations.vtt	10.0 KB
6. Streaming Aggregations.mp4	67.1 MB
6. Streaming Aggregations.vtt	68.7 MB
7. SparkUI for Streaming Jobs.mp4	28.3 MB
7. SparkUI for Streaming Jobs.vtt	4.2 KB
8. Windowing Batches.mp4	75.6 MB
8. Windowing Batches.vtt	9.6 KB
/45. Streaming Chapter 2 - Streaming with Apache Kafka/
1. Overview of Kafka.mp4	49.4 MB
1. Overview of Kafka.vtt	12.7 KB
2. Installing Kafka.mp4	85.3 MB
2. Installing Kafka.vtt	10.0 KB
3. Using a Kafka Event Simulator.mp4	160.1 MB
3. Using a Kafka Event Simulator.vtt	18.5 KB
3.1 viewing-figures-generation.zip.zip	3.8 MB
4. Integrating Kafka with Spark.mp4	60.1 MB
4. Integrating Kafka with Spark.vtt	5.5 KB
5. Using KafkaUtils to access a DStream.mp4	197.3 MB
5. Using KafkaUtils to access a DStream.vtt	19.3 KB
6. Writing a Kafka Aggegration.mp4	98.3 MB
6. Writing a Kafka Aggegration.vtt	9.7 KB
7. Adding a Window.mp4	21.1 MB
7. Adding a Window.vtt	1.9 KB
8. Adding a Slide Interval.mp4	126.4 MB
8. Adding a Slide Interval.vtt	11.0 KB
/46. Streaming Chapter 3- Structured Streaming/
1. Structured Streaming Overview.mp4	160.4 MB
1. Structured Streaming Overview.vtt	15.1 KB
2. Data Sinks.mp4	138.7 MB
2. Data Sinks.vtt	13.8 KB
3. Structured Streaming Output Modes.mp4	114.2 MB
3. Structured Streaming Output Modes.vtt	13.5 KB
4. Windows and Watermarks.mp4	129.2 MB
4. Windows and Watermarks.vtt	12.4 KB
5. What is the Batch Size in Structured Streaming.mp4	132.2 MB
5. What is the Batch Size in Structured Streaming.vtt	13.2 KB
6. Kafka Structured Streaming Pipelines.mp4	36.3 MB
6. Kafka Structured Streaming Pipelines.vtt	8.2 KB
Total files 285