Udemy - The Ultimate Hands-On Hadoop - Tame your Big Data! [Desire Course]

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[DesireCourse.Net] 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.srt (4.0 KB)
  • 2. Tips for Using This Course.mp4 (11.5 MB)
  • 2. Tips for Using This Course.srt (3.4 KB)
  • 2.1 Materials, tips, and tricks for the course.html (0.1 KB)
  • 3. If you have trouble downloading Hortonworks Data Platform....html (1.4 KB)
  • 4. Installing Hadoop [Step by Step].mp4 (177.0 MB)
  • 4. Installing Hadoop [Step by Step].srt (31.2 KB)
  • 4.1 VirtualBoxTroubleshooting.pdf.pdf (410.9 KB)
  • 5. Hadoop Overview and History.mp4 (20.9 MB)
  • 5. Hadoop Overview and History.srt (12.8 KB)
  • 6. Overview of the Hadoop Ecosystem.mp4 (60.0 MB)
  • 6. Overview of the Hadoop Ecosystem.srt (26.5 KB)
10. Analyzing Streams of Data
  • 1. Spark Streaming Introduction.mp4 (31.9 MB)
  • 1. Spark Streaming Introduction.srt (23.8 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.srt (20.9 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.srt (3.3 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.srt (7.2 KB)
  • 5. Apache Storm Introduction.mp4 (16.5 MB)
  • 5. Apache Storm Introduction.srt (15.7 KB)
  • 6. [Activity] Count words with Storm.mp4 (44.6 MB)
  • 6. [Activity] Count words with Storm.srt (21.5 KB)
  • 7. Flink An Overview.mp4 (12.3 MB)
  • 7. Flink An Overview.srt (11.6 KB)
  • 8. [Activity] Counting words with Flink.mp4 (40.6 MB)
  • 8. [Activity] Counting words with Flink.srt (17.0 KB)
11. Designing Real-World Systems
  • 1. The Best of the Rest.mp4 (16.2 MB)
  • 1. The Best of the Rest.srt (15.3 KB)
  • 2. Review How the pieces fit together.mp4 (21.9 MB)
  • 2. Review How the pieces fit together.srt (10.4 KB)
  • 3. Understanding your requirements.mp4 (14.3 MB)
  • 3. Understanding your requirements.srt (13.9 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.srt (16.9 KB)
  • 5. Sample application serving movie recommendations to a website.mp4 (19.7 MB)
  • 5. Sample application serving movie recommendations to a website.srt (19.0 KB)
  • 6. [Exercise] Design a system to report web sessions per day.mp4 (4.8 MB)
  • 6. [Exercise] Design a system to report web sessions per day.srt (4.9 MB)
  • 7. Exercise solution Design a system to count daily sessions.mp4 (14.2 MB)
  • 7. Exercise solution Design a system to count daily sessions.srt (8.0 KB)
12. Learning More
  • 1. Books and online resources.mp4 (60.1 MB)
  • 1. Books and online resources.srt (9.9 KB)
  • 2. Bonus Lecture More courses to explore!.html (6.2 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.srt (22.7 KB)
  • 10. [Exercise] Rank movies by their popularity.mp4 (12.3 MB)
  • 10. [Exercise] Rank movies by their popularity.srt (12.0 KB)
  • 11. [Activity] Check your results against mine!.mp4 (22.1 MB)
  • 11. [Activity] Check your results against mine!.srt (13.7 KB)
  • 2. Installing the MovieLens Dataset.mp4 (22.4 MB)
  • 2. Installing the MovieLens Dataset.srt (9.7 KB)
  • 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.srt (11.6 KB)
  • 4. MapReduce What it is, and how it works.mp4 (18.9 MB)
  • 4. MapReduce What it is, and how it works.srt (17.7 KB)
  • 5. How MapReduce distributes processing.mp4 (24.0 MB)
  • 5. How MapReduce distributes processing.srt (21.2 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.srt (19.5 KB)
  • 7. Troubleshooting tips installing pip and mrjob.html (0.8 KB)
  • 8. [Activity] Installing Python, MRJob, and nano.mp4 (66.1 MB)
  • 8. [Activity] Installing Python, MRJob, and nano.srt (14.8 KB)
  • 9. [Activity] Code up the ratings histogram MapReduce job and run it.mp4 (14.1 MB)
  • 9. [Activity] Code up the ratings histogram MapReduce job and run it.srt (11.8 KB)
3. Programming Hadoop with Pig
  • 1. Introducing Ambari.mp4 (16.0 MB)
  • 1. Introducing Ambari.srt (16.0 KB)
  • 2. Introducing Pig.mp4 (16.9 MB)
  • 2. Introducing Pig.srt (10.5 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.srt (24.3 KB)
  • 4. [Activity] Find old 5-star movies with Pig.mp4 (72.8 MB)
  • 4. [Activity] Find old 5-star movies with Pig.srt (16.6 KB)
  • 4.1 pig.txt.txt (0.8 KB)
  • 5. More Pig Latin.mp4 (13.0 MB)
  • 5. More Pig Latin.srt (12.9 KB)
  • 6. [Exercise] Find the most-rated one-star movie.mp4 (3.4 MB)
  • 6. [Exercise] Find the most-rated one-star movie.srt (3.1 KB)
  • 7. Pig Challenge Compare Your Results to Mine!.mp4 (18.0 MB)
  • 7. Pig Challenge Compare Your Results to Mine!.srt (9.4 KB)
4. Programming Hadoop with Spark
  • 1. Why Spark.mp4 (20.7 MB)
  • 1. Why Spark.srt (16.6 KB)
  • 2. The Resilient Distributed Dataset (RDD).mp4 (16.7 MB)
  • 2. The Resilient Distributed Dataset (RDD).srt (16.2 KB)
  • 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.srt (22.4 KB)
  • 4. Datasets and Spark 2.0.mp4 (11.0 MB)
  • 4. Datasets and Spark 2.0.srt (9.9 KB)
  • 5. [Activity] Find the movie with the lowest average rating - with DataFrames.mp4 (25.3 MB)
  • 5. [Activity] Find the movie with the lowes

Description

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

Hadoop, MapReduce, HDFS, Spark, Pig, Hive, HBase, MongoDB, Cassandra, Flume - the list goes on! Over 25 technologies.

For More Courses Visit: https://desirecourse.net



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Udemy - The Ultimate Hands-On Hadoop - Tame your Big Data! [Desire Course]

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2.6 GB
seeders:23
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Udemy - The Ultimate Hands-On Hadoop - Tame your Big Data! [Desire Course]

Torrent hash: A383EB41352AD9B4617062CB8D08FD26053400C4