Udemy - Apache Spark 2.0 with Java -Learn Spark from a Big Data Guru

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Udemy - Apache Spark 2.0 with Java -Learn Spark from a Big Data Guru (Size: 1.3 GB)
  1 - Course Overview English.srt 5.2 KB
  1 - Course Overview.mp4 13.2 MB
  10 - Set up Spark project with Eclipse English.srt 2.6 KB
  10 - Set up Spark project with Eclipse.mp4 6.8 MB
  11 - Text lecture Set up Spark project with Eclipse.html 512 B
  12 - Run our first Spark job English.srt 3.5 KB
  12 - Run our first Spark job.mp4 14.8 MB
  13 - Trouble shooting running Hadoop on Windows.html 1.9 KB
  14 - RDD Basics English.srt 3.3 KB
  14 - RDD Basics.mp4 4.4 MB
  15 - Create RDDs English.srt 3.1 KB
  15 - Create RDDs.mp4 5.6 MB
  16 - Text Lecture Create RDDs.html 409.6 B
  17 - Map and Filter Transformation English.srt 10.9 KB
  17 - Map and Filter Transformation.mp4 54.6 MB
  18 - Solution to Airports by Latitude Problem English.srt 1.5 KB
  18 - Solution to Airports by Latitude Problem.mp4 11.7 MB
  19 - FlatMap Transformation English.srt 8.3 KB
  19 - FlatMap Transformation.mp4 32.5 MB
  2 - How to Take this Course and How to Get Support English.srt 2 KB
  2 - How to Take this Course and How to Get Support.mp4 5.1 MB
  20 - Text Lectures flatMap Transformation.html 204.8 B
  21 - Set Operation English.srt 9.4 KB
  21 - Set Operation.mp4 36.7 MB
  22 - Sampling With Replacement and Sampling Without Replacement.html 307.2 B
  23 - Solution for the Same Hosts Problem.html 819.2 B
  24 - Actions English.srt 9.3 KB
  24 - Actions.mp4 41.1 MB
  25 - Solution to Sum of Numbers Problem English.srt 2 KB
  25 - Solution to Sum of Numbers Problem.mp4 6.7 MB
  26 - Important Aspects about RDD English.srt 2 KB
  26 - Important Aspects about RDD.mp4 2.8 MB
  27 - Summary of RDD Operations English.srt 3.2 KB
  27 - Summary of RDD Operations.mp4 7.1 MB
  28 - Caching and Persistence English.srt 6.8 KB
  28 - Caching and Persistence.mp4 16 MB
  29 - Spark Architecture English.srt 3.9 KB
  29 - Spark Architecture.mp4 7.1 MB
  3 - Text Lecture How to Take this Course and How to Get Support.html 204.8 B
  30 - Spark Components English.srt 6.9 KB
  30 - Spark Components.mp4 22.7 MB
  31 - Introduction to Pair RDD English.srt 2 KB
  31 - Introduction to Pair RDD.mp4 3.9 MB
  32 - Create Pair RDDs English.srt 4.4 KB
  32 - Create Pair RDDs.mp4 21.9 MB
  33 - Filter and MapValue Transformations on Pair RDD English.srt 5.8 KB
  33 - Filter and MapValue Transformations on Pair RDD.mp4 44.5 MB
  34 - Reduce By Key Aggregation English.srt 6.9 KB
  34 - Reduce By Key Aggregation.mp4 27.5 MB
  35 - Sample solution for the Average House problem English.srt 4.5 KB
  35 - Sample solution for the Average House problem.mp4 13.9 MB
  36 - Group By Key Transformation English.srt 6.1 KB
  36 - Group By Key Transformation.mp4 24.3 MB
  37 - Sort By Key Transformation English.srt 3.9 KB
  37 - Sort By Key Transformation.mp4 16.4 MB
  38 - Sample Solution for the Sorted Word Count Problem English.srt 2.7 KB
  38 - Sample Solution for the Sorted Word Count Problem.mp4 7.3 MB
  39 - Data Partitioning English.srt 5.9 KB
  39 - Data Partitioning.mp4 11 MB
  4 - Introduction to Spark English.srt 3 KB
  4 - Introduction to Spark.mp4 4.7 MB
  40 - Join Operations English.srt 6.6 KB
  40 - Join Operations.mp4 21.2 MB
  41 - Extra Learning Material How are Big Companies using Apache Spark.html 512 B
  42 - Accumulators English.srt 7.1 KB
  42 - Accumulators.mp4 75.8 MB
  43 - Text Lecture Accumulators.html 102.4 B
  44 - Solution to StackOverflow Survey Followup Problem English.srt 1.8 KB
  44 - Solution to StackOverflow Survey Followup Problem.mp4 9.1 MB
  45 - Broadcast Variables English.srt 8.8 KB
  45 - Broadcast Variables.mp4 60.4 MB
  46 - Introduction to Spark SQL English.srt 4.8 KB
  46 - Introduction to Spark SQL.mp4 8.9 MB
  47 - Spark SQL in Action English.srt 19.6 KB
  47 - Spark SQL in Action.mp4 229.5 MB
  48 - Spark SQL practice House Price Problem English.srt 2.3 KB
  48 - Spark SQL practice House Price Problem.mp4 13.5 MB
  49 - Spark SQL Joins English.srt 8.4 KB
  49 - Spark SQL Joins.mp4 24.6 MB
  5 - Apache-Spark-with-Java-Slides.pdf 6.3 MB
  5 - Sides.html 102.4 B
  50 - Strongly Typed Dataset English.srt 11.7 KB
  50 - Strongly Typed Dataset.mp4 56.2 MB
  51 - Use Dataset or RDD English.srt 3.6 KB
  51 - Use Dataset or RDD.mp4 5.6 MB
  52 - Dataset and RDD Conversion English.srt 3.5 KB
  52 - Dataset and RDD Conversion.mp4 13.9 MB
  53 - Performance Tuning of Spark SQL English.srt 3.6 KB
  53 - Performance Tuning of Spark SQL.mp4 7.5 MB
  54 - Extra Learning Material Avoid These Mistakes While Writing Apache Spark Program.html 307.2 B
  55 - Introduction to Running Spark in a Cluster English.srt 5.6 KB
  55 - Introduction to Running Spark in a Cluster.mp4 24.1 MB
  56 - Package Spark Application and Use sparksubmit English.srt 10.7 KB
  56 - Package Spark Application and Use sparksubmit.mp4 50.6 MB
  57 - Run Spark Application on Amazon EMR Elastic MapReduce cluster English.srt 16.3 KB
  57 - Run Spark Application on Amazon EMR Elastic MapReduce cluster.mp4 137.7 MB
  58 - Future Learning English.srt 4 KB
  58 - Future Learning.mp4 15.7 MB
  59 - Text Lecture Future Learning.html 307.2 B
  6 - Java 9 Warning.html 102.4 B
  60 - Coupons to Our Other Courses.html 2.5 KB
  7 - Install Java and Git English.srt 5.4 KB
  7 - Install Java and Git.mp4 21.9 MB
  8 - Source Code.html 307.2 B
  9 - Set up Spark project with IntelliJ IDEA English.srt 9 KB
  9 - Set up Spark project with IntelliJ IDEA.mp4 83.8 MB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 108 total files

Description


Apache Spark 2.0 with Java -Learn Spark from a Big Data Guru

https://DevCourseWeb.com

Duration: 3h 27m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 1.29 GB
Genre: eLearning | Language: English

Learn analyzing large data sets with Apache Spark by 10+ hands-on examples. Take your big data skills to the next level.

What you'll learn
An overview of the architecture of Apache Spark.
Work with Apache Spark's primary abstraction, resilient distributed datasets(RDDs) to process and analyze large data sets.
Develop Apache Spark 2.0 applications using RDD transformations and actions and Spark SQL.
Scale up Spark applications on a Hadoop YARN cluster through Amazon's Elastic MapReduce service.
Analyze structured and semi-structured data using Datasets and DataFrames, and develop a thorough understanding about Spark SQL.
Share information across different nodes on a Apache Spark cluster by broadcast variables and accumulators.
Advanced techniques to optimize and tune Apache Spark jobs by partitioning, caching and persisting RDDs.
Best practices of working with Apache Spark in the field.

Requirements
A computer running Windows, OSX or Linux
Previous Java programming skills
Java 8 experience is preferred but NOT required

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