Section 1 : Get Started with Apache Spark
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Lecture 1 | INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM | |
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Lecture 2 | About Certification | |
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Lecture 3 | Text Lecture How to Take this Course and How to | |
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Lecture 4 | Introduction to Spark | |
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Lecture 5 | Slides | |
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Lecture 6 | Java 9 Warning | |
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Lecture 7 | Install Java and Git | 00:04:11 Duration |
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Lecture 8 | Source Code | |
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Lecture 9 | Set up Spark project with IntelliJ IDEA | 00:07:23 Duration |
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Lecture 10 | Set up Spark project with Eclipse | 00:02:04 Duration |
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Lecture 11 | Text lecture Set up Spark project with Eclipse | |
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Lecture 12 | Run our first Spark job | 00:02:44 Duration |
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Lecture 13 | Trouble shooting running Hadoop on Windows |
Section 2 : RDD
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Lecture 1 | RDD Basics | 00:02:40 Duration |
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Lecture 2 | Create RDDs | 00:02:26 Duration |
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Lecture 3 | Text Lecture Create RDDs | |
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Lecture 4 | Map and Filter Transformation | 00:08:38 Duration |
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Lecture 5 | Solution to Airports by Latitude Problem | 00:01:31 Duration |
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Lecture 6 | FlatMap Transformation | 00:06:27 Duration |
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Lecture 7 | Text Lectures flatMap Transformation | |
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Lecture 8 | Set Operation | 00:07:37 Duration |
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Lecture 9 | Sampling With Replacement and Sampling Without | |
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Lecture 10 | Solution for the Same Hosts Problem | |
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Lecture 11 | Actions | 00:08:06 Duration |
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Lecture 12 | Solution to Sum of Numbers Problem | 00:01:44 Duration |
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Lecture 13 | Important Aspects about RDD | 00:01:28 Duration |
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Lecture 14 | Summary of RDD Operations | 00:02:24 Duration |
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Lecture 15 | Caching and Persistence | 00:05:09 Duration |
Section 3 : Spark Architecture and Components
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Lecture 1 | Spark Architecture | 00:02:55 Duration |
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Lecture 2 | Spark Components | 00:05:21 Duration |
Section 4 : Pair RDD
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Lecture 1 | Introduction to Pair RDD | 00:01:33 Duration |
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Lecture 2 | Create Pair RDDs | 00:03:54 Duration |
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Lecture 3 | Filter and MapValue Transformations on Pair RD | 00:04:53 Duration |
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Lecture 4 | Reduce By Key Aggregation | 00:05:14 Duration |
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Lecture 5 | Sample solution for the Average House problem | 00:03:16 Duration |
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Lecture 6 | Group By Key Transformation | 00:04:43 Duration |
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Lecture 7 | Sort By Key Transformation | 00:02:49 Duration |
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Lecture 8 | Sample Solution for the Sorted Word Count | 00:02:01 Duration |
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Lecture 9 | Data Partitioning | |
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Lecture 10 | Join Operations | 00:04:56 Duration |
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Lecture 11 | Extra Learning Material How are Big Companies |
Section 5 : Advanced Spark Topic
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Lecture 1 | Accumulators | 00:05:30 Duration |
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Lecture 2 | Text Lecture Accumulators | |
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Lecture 3 | Solution to StackOverflow Survey Follow-up Pro | 00:01:21 Duration |
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Lecture 4 | Broadcast Variables | 00:06:48 Duration |
Section 6 : Spark SQL
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Lecture 1 | Introduction to Spark SQL | 00:03:48 Duration |
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Lecture 2 | Spark SQL in Action | |
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Lecture 3 | Spark SQL practice House Price Problem | 00:01:52 Duration |
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Lecture 4 | Spark SQL Joins | 00:06:21 Duration |
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Lecture 5 | Strongly Typed Dataset | 00:08:31 Duration |
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Lecture 6 | Use Dataset or RDD | 00:02:56 Duration |
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Lecture 7 | Dataset and RDD Conversion | |
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Lecture 8 | Performance Tuning of Spark SQL | 00:02:44 Duration |
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Lecture 9 | Extra Learning Material Avoid These Mistakes W |
Section 7 : Running Spark in a Cluster
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Lecture 1 | Introduction to Running Spark in a Cluster | |
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Lecture 2 | Package Spark Application and Use spark-submit | 00:08:08 Duration |
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Lecture 3 | Run Spark Application on Amazon EMR (Elastic M | 00:13:32 Duration |
Section 8 : Additional Learning Materials
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Lecture 1 | About Proctor Testing | |
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Lecture 2 | Text Lecture Future Learning | |
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Lecture 3 | Coupons to Our Other Courses |
