Analyzing Large Data Sets with Apache Spark Certification Video Training Course
The complete solution to prepare for for your exam with Analyzing Large Data Sets with Apache Spark certification video training course. The Analyzing Large Data Sets with Apache Spark certification video training course contains a complete set of videos that will provide you with thorough knowledge to understand the key concepts. Top notch prep including Software Engineering Courses Analyzing Large Data Sets with Apache Spark exam dumps, study guide & practice test questions and answers.
Analyzing Large Data Sets with Apache Spark Certification Video Training Course Exam Curriculum
Getting Started with Spark
Spark Basics and Simple Examples
Advanced Examples of Spark Programs
Running Spark on a Cluster
SparkSQL, DataFrames, and DataSets
Other Spark Technologies and Libraries
Getting Started with Spark
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02:16
1. Introduction
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01:41
2. How to Use This Course
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14:50
3. [Activity]Getting Set Up: Installing Python, a JDK, Spark, and its Dependencies.
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03:35
4. [Activity] Installing the MovieLens Movie Rating Dataset
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04:52
5. [Activity] Run your first Spark program! Ratings histogram example.
Spark Basics and Simple Examples
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10:11
1. Introduction to Spark
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12:17
2. The Resilient Distributed Dataset (RDD)
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13:33
3. Ratings Histogram Walkthrough
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16:13
4. Key/Value RDD's, and the Average Friends by Age Example
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05:39
5. [Activity] Running the Average Friends by Age Example
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08:10
6. Filtering RDD's, and the Minimum Temperature by Location Example
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05:08
7. [Activity]Running the Minimum Temperature Example, and Modifying it for Maximums
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03:21
8. [Activity] Running the Maximum Temperature by Location Example
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07:28
9. [Activity] Counting Word Occurrences using flatmap()
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04:44
10. [Activity] Improving the Word Count Script with Regular Expressions
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07:44
11. [Activity] Sorting the Word Count Results
Advanced Examples of Spark Programs
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05:52
1. [Activity] Find the Most Popular Movie
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08:23
2. [Activity] Use Broadcast Variables to Display Movie Names Instead of ID Numbers
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04:29
3. Find the Most Popular Superhero in a Social Graph
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06:00
4. [Activity] Run the Script - Discover Who the Most Popular Superhero is!
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07:54
5. Superhero Degrees of Separation: Introducing Breadth-First Search
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06:44
6. Superhero Degrees of Separation: Accumulators, and Implementing BFS in Spark
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09:14
7. [Activity] Superhero Degrees of Separation: Review the Code and Run it
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10:12
8. Item-Based Collaborative Filtering in Spark, cache(), and persist()
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10:54
9. [Activity] Running the Similar Movies Script using Spark's Cluster Manager
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02:58
10. [Exercise] Improve the Quality of Similar Movies
Running Spark on a Cluster
-
05:08
1. Introducing Elastic MapReduce
-
09:55
2. [Activity] Setting up your AWS / Elastic MapReduce Account and Setting Up PuTTY
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04:21
3. Partitioning
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05:12
4. Create Similar Movies from One Million Ratings - Part 1
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11:27
5. [Activity] Create Similar Movies from One Million Ratings - Part 2
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03:28
6. Create Similar Movies from One Million Ratings - Part 3
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03:43
7. Troubleshooting Spark on a Cluster
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05:47
8. More Troubleshooting, and Managing Dependencies
SparkSQL, DataFrames, and DataSets
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06:08
1. Introducing SparkSQL
-
08:16
2. Executing SQL commands and SQL-style functions on a DataFrame
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05:52
3. Using DataFrames instead of RDD's
Other Spark Technologies and Libraries
-
08:10
1. Introducing MLLib
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02:56
2. [Activity] Using MLLib to Produce Movie Recommendations
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04:53
3. Analyzing the ALS Recommendations Results
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07:31
4. Using DataFrames with MLLib
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07:36
5. Spark Streaming and GraphX
About Analyzing Large Data Sets with Apache Spark Certification Video Training Course
Analyzing Large Data Sets with Apache Spark certification video training course by prepaway along with practice test questions and answers, study guide and exam dumps provides the ultimate training package to help you pass.
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