Udemy - The Ultimate Hands-On Hadoop - Tame your Big Data!

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[FreeCourseLab.com] Udemy - The Ultimate Hands-On Hadoop - Tame your Big Data! 1. Learn all the buzzwords! And install the Hortonworks Data Platform Sandbox
  • 1. Udemy 101 Getting the Most From This Course.mp4 (19.7 MB)
  • 1. Udemy 101 Getting the Most From This Course.vtt (3.6 KB)
  • 2. Tips for Using This Course.mp4 (11.5 MB)
  • 2. Tips for Using This Course.vtt (3.2 KB)
  • 2.1 Materials, tips, and tricks for the course.html (0.1 KB)
  • 3. Installing Hadoop [Step by Step].mp4 (180.0 MB)
  • 3. Installing Hadoop [Step by Step].vtt (23.6 KB)
  • 3.1 VirtualBoxTroubleshooting.pdf.pdf (410.9 KB)
  • 4. Hadoop Overview and History.mp4 (20.9 MB)
  • 4. Hadoop Overview and History.vtt (11.7 KB)
  • 5. Overview of the Hadoop Ecosystem.mp4 (60.0 MB)
  • 5. Overview of the Hadoop Ecosystem.vtt (24.0 KB)
10. Analyzing Streams of Data
  • 1. Spark Streaming Introduction.mp4 (31.9 MB)
  • 1. Spark Streaming Introduction.vtt (21.0 KB)
  • 2. [Activity] Analyze web logs published with Flume using Spark Streaming.mp4 (40.3 MB)
  • 2. [Activity] Analyze web logs published with Flume using Spark Streaming.vtt (18.3 KB)
  • 3. [Exercise] Monitor Flume-published logs for errors in real time.mp4 (25.0 MB)
  • 3. [Exercise] Monitor Flume-published logs for errors in real time.vtt (2.9 KB)
  • 4. Exercise solution Aggregating HTTP access codes with Spark Streaming.mp4 (15.0 MB)
  • 4. Exercise solution Aggregating HTTP access codes with Spark Streaming.vtt (6.2 KB)
  • 5. Apache Storm Introduction.mp4 (16.5 MB)
  • 5. Apache Storm Introduction.vtt (13.9 KB)
  • 6. [Activity] Count words with Storm.mp4 (44.6 MB)
  • 6. [Activity] Count words with Storm.vtt (18.8 KB)
  • 7. Flink An Overview.mp4 (12.3 MB)
  • 7. Flink An Overview.vtt (10.3 KB)
  • 8. [Activity] Counting words with Flink.mp4 (40.6 MB)
  • 8. [Activity] Counting words with Flink.vtt (14.7 KB)
11. Designing Real-World Systems
  • 1. The Best of the Rest.mp4 (16.2 MB)
  • 1. The Best of the Rest.vtt (13.5 KB)
  • 2. Review How the pieces fit together.mp4 (21.9 MB)
  • 2. Review How the pieces fit together.vtt (9.3 KB)
  • 3. Understanding your requirements.mp4 (14.3 MB)
  • 3. Understanding your requirements.vtt (12.3 KB)
  • 4. Sample application consume webserver logs and keep track of top-sellers.mp4 (18.2 MB)
  • 4. Sample application consume webserver logs and keep track of top-sellers.vtt (14.9 KB)
  • 5. Sample application serving movie recommendations to a website.mp4 (19.7 MB)
  • 5. Sample application serving movie recommendations to a website.vtt (16.8 KB)
  • 6. [Exercise] Design a system to report web sessions per day.mp4 (4.9 MB)
  • 6. [Exercise] Design a system to report web sessions per day.vtt (4.0 KB)
  • 7. Exercise solution Design a system to count daily sessions.mp4 (14.2 MB)
  • 7. Exercise solution Design a system to count daily sessions.vtt (7.0 KB)
12. Learning More
  • 1. Books and online resources.mp4 (60.1 MB)
  • 1. Books and online resources.vtt (8.8 KB)
  • 2. Bonus Lecture Discounts to continue your journey!.html (6.8 KB)
2. Using Hadoop's Core HDFS and MapReduce
  • 1. HDFS What it is, and how it works.mp4 (31.4 MB)
  • 1. HDFS What it is, and how it works.vtt (20.6 KB)
  • 10. [Activity] Check your results against mine!.mp4 (22.1 MB)
  • 10. [Activity] Check your results against mine!.vtt (12.4 KB)
  • 2. Installing the MovieLens Dataset.mp4 (22.4 MB)
  • 2. Installing the MovieLens Dataset.vtt (22.4 MB)
  • 3. [Activity] Install the MovieLens dataset into HDFS using the command line.mp4 (24.6 MB)
  • 3. [Activity] Install the MovieLens dataset into HDFS using the command line.vtt (10.5 KB)
  • 4. MapReduce What it is, and how it works.mp4 (18.9 MB)
  • 4. MapReduce What it is, and how it works.vtt (16.0 KB)
  • 5. How MapReduce distributes processing.mp4 (24.0 MB)
  • 5. How MapReduce distributes processing.vtt (19.2 KB)
  • 6. MapReduce example Break down movie ratings by rating score.mp4 (21.4 MB)
  • 6. MapReduce example Break down movie ratings by rating score.vtt (17.7 KB)
  • 7. [Activity] Installing Python, MRJob, and nano.mp4 (66.1 MB)
  • 7. [Activity] Installing Python, MRJob, and nano.vtt (13.4 KB)
  • 8. [Activity] Code up the ratings histogram MapReduce job and run it.mp4 (14.1 MB)
  • 8. [Activity] Code up the ratings histogram MapReduce job and run it.vtt (10.4 KB)
  • 9. [Exercise] Rank movies by their popularity.mp4 (12.3 MB)
  • 9. [Exercise] Rank movies by their popularity.vtt (10.9 KB)
3. Programming Hadoop with Pig
  • 1. Introducing Ambari.mp4 (16.0 MB)
  • 1. Introducing Ambari.vtt (14.5 KB)
  • 2. Introducing Pig.mp4 (16.9 MB)
  • 2. Introducing Pig.vtt (9.6 KB)
  • 3. Example Find the oldest movie with a 5-star rating using Pig.mp4 (29.6 MB)
  • 3. Example Find the oldest movie with a 5-star rating using Pig.vtt (21.9 KB)
  • 4. [Activity] Find old 5-star movies with Pig.mp4 (27.5 MB)
  • 4. [Activity] Find old 5-star movies with Pig.vtt (13.7 KB)
  • 5. More Pig Latin.mp4 (13.0 MB)
  • 5. More Pig Latin.vtt (11.8 KB)
  • 6. [Exercise] Find the most-rated one-star movie.mp4 (3.4 MB)
  • 6. [Exercise] Find the most-rated one-star movie.vtt (2.8 KB)
  • 7. Pig Challenge Compare Your Results to Mine!.mp4 (18.0 MB)
  • 7. Pig Challenge Compare Your Results to Mine!.vtt (8.5 KB)
4. Programming Hadoop with Spark
  • 1. Why Spark.mp4 (20.7 MB)
  • 1. Why Spark.vtt (15.1 KB)
  • 2. The Resilient Distributed Dataset (RDD).mp4 (16.7 MB)
  • 2. The Resilient Distributed Dataset (RDD).vtt (16.7 MB)
  • 3. [Activity] Find the movie with the lowest average rating - with RDD's.mp4 (39.7 MB)
  • 3. [Activity] Find the movie with the lowest average rating - with RDD's.vtt (20.2 KB)
  • 4. Datasets and Spark 2.0.mp4 (11.0 MB)
  • 4. Datasets and Spark 2.0.vtt (9.0 KB)
  • 5. [Activity] Find the movie with the lowest average rating - with DataFrames.mp4 (25.3 MB)
  • 5. [Activity] Find the movie with the lowest average rating - with DataFrames.vtt (13.0 KB)
  • 6. [Activity] Mo

Description

Udemy - The Ultimate Hands-On Hadoop - Tame your Big Data!

Hadoop tutorial with MapReduce, HDFS, Spark, Flink, Hive, HBase, MongoDB, Cassandra, Kafka + more! Over 25 technologies.

Created by Sundog Education by Frank Kane, Frank Kane
Last updated 5/2019

For more Udemy Courses: https://freecourselab.com



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Udemy - The Ultimate Hands-On Hadoop - Tame your Big Data!

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2.6 GB
seeders:8
leechers:6
Udemy - The Ultimate Hands-On Hadoop - Tame your Big Data!

Torrent hash: 4367D3119E0C552C5A619F04081D103BD2ACC798