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Udemy Apache Spark with Scala Hands On with Big Data

Category: Courses / Others
Author: AD-TEAM
Date added: 29.09.2024 :56:25
Views: 2
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Description material
Udemy Apache Spark with Scala Hands On with Big Data
6.4 GB | 00:16:38 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English



Files Included :
2 Udemy 101 Getting the Most From This Course (19.71 MB)
3 Introduction, and Getting Set Up (180.51 MB)
4 [Activity] Create a Histogram of Real Movie Ratings with Spark! (119.26 MB)
1 Learning More, and Career Tips (94.06 MB)
1 [Activity] Scala Basics, Part 1 (224.6 MB)
2 [Exercise] Scala Basics, Part 2 (155.14 MB)
3 [Exercise] Flow Control in Scala (83.08 MB)
4 [Exercise] Functions in Scala (121.74 MB)
5 [Exercise] Data Structures in Scala (251.13 MB)
1 Introduction to Spark (150.82 MB)
10 [Activity] Improving the Word Count Script with Regular Expressions (104.09 MB)
11 [Activity] Sorting the Word Count Results (138.43 MB)
12 [Exercise] Find the Total Amount Spent by Customer (66.37 MB)
13 [Exercise] Check your Results, and Sort Them by Total Amount Spent (69.21 MB)
14 Check Your Results and Implementation Against Mine (54.22 MB)
2 The Resilient Distributed Dataset (198.63 MB)
3 Ratings Histogram Walkthrough (116.66 MB)
4 Spark Internals (83.82 MB)
5 Key Value RDD's, and the Average Friends by Age example (208.45 MB)
6 [Activity] Running the Average Friends by Age Example (134.39 MB)
7 Filtering RDD's, and the Minimum Temperature by Location Example (107.95 MB)
8 [Activity] Running the Minimum Temperature Example, and Modifying it for Maximum (165.96 MB)
9 [Activity] Counting Word Occurrences using Flatmap() (146.12 MB)
1 [Activity] Find the Most Popular Movie (66.14 MB)
2 [Activity] Use Broadcast Variables to Display Movie Names (146.4 MB)
3 [Activity] Find the Most Popular Superhero in a Social Graph (249.09 MB)
4 Superhero Degrees of Separation Introducing Breadth-First Search (101.79 MB)
5 Superhero Degrees of Separation Accumulators, and Implementing BFS in Spark (94.21 MB)
6 Superhero Degrees of Separation Review the code, and run it! (165.95 MB)
7 Item-Based Collaborative Filtering in Spark, cache(), and persist() (140.59 MB)
8 [Activity] Running the Similar Movies Script using Spark's Cluster Manager (211.49 MB)
9 [Exercise] Improve the Quality of Similar Movies (55.56 MB)
1 [Activity] Using spark-submit to run Spark driver scripts (115.83 MB)
2 [Activity] Packaging driver scripts with SBT (100.49 MB)
3 Introducing Amazon Elastic MapReduce (131.99 MB)
4 Creating Similar Movies from One Million Ratings on EMR (135.95 MB)
5 Partitioning (99.42 MB)
6 Best Practices for Running on a Cluster (102.04 MB)
7 Troubleshooting, and Managing Dependencies (152.76 MB)
8 Apache Spark 3 (1.61 MB)
1 Introduction to SparkSQL (130.19 MB)
2 [Activity] Using SparkSQL (105.84 MB)
3 [Activity] Using DataFrames and DataSets (97.32 MB)
4 [Activity] Using DataSets instead of RDD's (120.16 MB)
1 Introducing MLLib (52.96 MB)
2 [Activity] Using MLLib to Produce Movie Recommendations (129.89 MB)
3 [Activity] Linear Regression with MLLib (36.35 MB)
4 [Activity] Using DataFrames with MLLib (108.15 MB)
1 Spark Streaming Overview (179.24 MB)
2 [Activity] Set up a Twitter Developer Account, and Stream Tweets (159.94 MB)
3 Structured Streaming (29.76 MB)
1 GraphX, Pregel, and Breadth-First-Search with Pregel (199.53 MB)
2 [Activity] Superhero Degrees of Separation using GraphX (140.1 MB)
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