Section 1 : Get Started with Apache Spark

Lecture 1 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM Pdf
Lecture 2 About Certification Pdf
Lecture 3 Text Lecture How to Take this Course and How to Pdf
Lecture 4 Introduction to Spark Pdf
Lecture 5 Slides Text
Lecture 6 Java 9 Warning Text
Lecture 7 Install Java and Git 4:11
Lecture 8 Source Code Text
Lecture 9 Set up Spark project with IntelliJ IDEA 7:23
Lecture 10 Set up Spark project with Eclipse 2:4
Lecture 11 Text lecture Set up Spark project with Eclipse Text
Lecture 12 Run our first Spark job 2:44
Lecture 13 Trouble shooting running Hadoop on Windows Text

Section 2 : RDD

Lecture 14 RDD Basics 2:40
Lecture 15 Create RDDs 2:26
Lecture 16 Text Lecture Create RDDs Text
Lecture 17 Map and Filter Transformation 8:38
Lecture 18 Solution to Airports by Latitude Problem 1:31
Lecture 19 FlatMap Transformation 6:27
Lecture 20 Text Lectures flatMap Transformation Text
Lecture 21 Set Operation 7:37
Lecture 22 Sampling With Replacement and Sampling Without Pdf
Lecture 23 Solution for the Same Hosts Problem Text
Lecture 24 Actions 8:6
Lecture 25 Solution to Sum of Numbers Problem 1:44
Lecture 26 Important Aspects about RDD 1:28
Lecture 27 Summary of RDD Operations 2:24
Lecture 28 Caching and Persistence 5:9

Section 3 : Spark Architecture and Components

Lecture 29 Spark Architecture 2:55
Lecture 30 Spark Components 5:21

Section 4 : Pair RDD

Lecture 31 Introduction to Pair RDD 1:33
Lecture 32 Create Pair RDDs 3:54
Lecture 33 Filter and MapValue Transformations on Pair RD 4:53
Lecture 34 Reduce By Key Aggregation 5:14
Lecture 35 Sample solution for the Average House problem 3:16
Lecture 36 Group By Key Transformation 4:43
Lecture 37 Sort By Key Transformation 2:49
Lecture 38 Sample Solution for the Sorted Word Count 2:1
Lecture 39 Data Partitioning Text
Lecture 40 Join Operations 4:56
Lecture 41 Extra Learning Material How are Big Companies Pdf

Section 5 : Advanced Spark Topic

Lecture 42 Accumulators 5:30
Lecture 43 Text Lecture Accumulators Text
Lecture 44 Solution to StackOverflow Survey Follow-up Pro 1:21
Lecture 45 Broadcast Variables 6:48

Section 6 : Spark SQL

Lecture 46 Introduction to Spark SQL 3:48
Lecture 47 Spark SQL in Action Text
Lecture 48 Spark SQL practice House Price Problem 1:52
Lecture 49 Spark SQL Joins 6:21
Lecture 50 Strongly Typed Dataset 8:31
Lecture 51 Use Dataset or RDD 2:56
Lecture 52 Dataset and RDD Conversion Text
Lecture 53 Performance Tuning of Spark SQL 2:44
Lecture 54 Extra Learning Material Avoid These Mistakes W Pdf

Section 7 : Running Spark in a Cluster

Lecture 55 Introduction to Running Spark in a Cluster Pdf
Lecture 56 Package Spark Application and Use spark-submit 8:8
Lecture 57 Run Spark Application on Amazon EMR (Elastic M 13:32

Section 8 : Additional Learning Materials

Lecture 58 About Proctor Testing Pdf
Lecture 59 Text Lecture Future Learning Pdf
Lecture 60 Coupons to Our Other Courses Pdf