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Udemy - Apache Spark for Java Developers
File Information
File Size:
11.68 GB
Creat Time:
2024-10-06
Active Degree:
26
Last Active:
2024-11-17
Magnet Link:
Magnet Link
Tags:
Udemy
-
Apache
Spark
for
Java
Developers
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This site does not provide download links, only text displays, and does not contain any infringement.
File List
43. Recommender Systems/2. Building the Model.mp4
263.91 MB
41. Decision Trees/2. Building the Model.mp4
259.33 MB
40. Logistic Regression/3. Coding a Logistic Regression.mp4
235.43 MB
38. Pipelines/1. Pipelines.mp4
228.49 MB
42. K Means Clustering/1. K Means Clustering.mp4
216.60 MB
16. SparkSQL Getting Started/1. SparkSQL Getting Started.mp4
203.74 MB
26. More Aggregations/1. How to use the agg method in Spark.mp4
200.68 MB
45. Streaming Chapter 2 - Streaming with Apache Kafka/5. Using KafkaUtils to access a DStream.mp4
192.72 MB
14. RDD Performance/7. Caching and Persistence.mp4
191.58 MB
2. Getting Started/2. Installing Spark.mp4
172.51 MB
29. SparkSQL Performance/1. Understand the SparkUI for SparkSQL.mp4
172.30 MB
25. Pivot Tables/2. Coding a Pivot Table in Spark.mp4
169.53 MB
9. Keyword Ranking Practical/3. Worked Solution (continued) with Sorting.mp4
160.00 MB
46. Streaming Chapter 3- Structured Streaming/1. Structured Streaming Overview.mp4
156.62 MB
45. Streaming Chapter 2 - Streaming with Apache Kafka/3. Using a Kafka Event Simulator.mp4
156.40 MB
39. Case Study/2. Case Study - Walkthrough Part 1.mp4
155.22 MB
24. DataFrames API/1. SQL vs DataFrames.mp4
150.72 MB
23. Ordering/1. Ordering.mp4
149.88 MB
39. Case Study/3. Case Study - Walkthrough Part 2.mp4
143.42 MB
19. In Memory Data/1. In Memory Data.mp4
143.03 MB
17. Datasets/4. Filters using Columns.mp4
142.29 MB
22. Multiple Groupings/1. Multiple Groupings.mp4
142.17 MB
8. Reading from Disk/1. Reading from Disk.mp4
141.32 MB
24. DataFrames API/2. DataFrame Grouping.mp4
140.27 MB
9. Keyword Ranking Practical/2. Worked Solution.mp4
139.27 MB
14. RDD Performance/4. Shuffles.mp4
136.92 MB
46. Streaming Chapter 3- Structured Streaming/2. Data Sinks.mp4
135.49 MB
44. Module 4 -Spark Streaming and Structured Streaming with Kafka/4. Starting a Streaming Job.mp4
130.99 MB
46. Streaming Chapter 3- Structured Streaming/5. What is the Batch Size in Structured Streaming.mp4
129.10 MB
37. Non-Numeric Data/2. Understanding Vectors.mp4
128.32 MB
46. Streaming Chapter 3- Structured Streaming/4. Windows and Watermarks.mp4
126.14 MB
35. Model Fitting Parameters/2. Training, Test and Holdout Data.mp4
126.02 MB
18. The Full SQL Syntax/1. Using a Spark Temporary View for SQL.mp4
123.53 MB
45. Streaming Chapter 2 - Streaming with Apache Kafka/8. Adding a Slide Interval.mp4
123.48 MB
36. Feature Selection/3. Identifying and Eliminating Duplicated Features.mp4
122.01 MB
37. Non-Numeric Data/1. Using OneHotEncoding.mp4
119.11 MB
35. Model Fitting Parameters/1. Setting Linear Regression Parameters.mp4
115.58 MB
30. HashAggregation/3. How can I force Spark to use HashAggregation.mp4
113.25 MB
10. Sorts and Coalesce/2. Why Coalesce is the Wrong Solution.mp4
112.14 MB
30. HashAggregation/2. How does HashAggregation work.mp4
111.63 MB
46. Streaming Chapter 3- Structured Streaming/3. Structured Streaming Output Modes.mp4
111.56 MB
9. Keyword Ranking Practical/1. Practical Requirements.mp4
108.97 MB
14. RDD Performance/1. Transformations and Actions.mp4
108.23 MB
44. Module 4 -Spark Streaming and Structured Streaming with Kafka/5. Streaming Transformations.mp4
100.39 MB
20. Groupings and Aggregations/1. Groupings and Aggregations.mp4
99.42 MB
11. Deploying to AWS EMR (Optional)/2. Packing a Spark Jar for EMR.mp4
96.98 MB
28. User Defined Functions/3. Using a UDF in Spark SQL.mp4
96.35 MB
30. HashAggregation/1. Explaining Execution Plans.mp4
96.20 MB
45. Streaming Chapter 2 - Streaming with Apache Kafka/6. Writing a Kafka Aggegration.mp4
95.96 MB
36. Feature Selection/1. Describing the Features.mp4
95.90 MB
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