GigaCourse com Udemy The Ultimate Hands On Hadoop Tame your Big Data Using Hadoop Core HDFS and MapReduce Activity Installing Python MRJob and nano srt

GigaCourse com Udemy The Ultimate Hands On Hadoop Tame your Big Data
Using Hadoop Core HDFS and MapReduce Activity Installing Python MRJob and nano srt

Name	[GigaCourse.com] Udemy - The Ultimate Hands-On Hadoop - Tame your Big Data!	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	3.1 GB
Total Files	225
Last Seen	2025-08-26 23:53
Hash	04F0D1EF199BF98B6B5D45774563D525DDCD7CBA

/2. Using Hadoop's Core HDFS and MapReduce/8. [Activity] Installing Python, MRJob, and nano.srt	15.1 KB
/2. Using Hadoop's Core HDFS and MapReduce/8. [Activity] Installing Python, MRJob, and nano.mp4	69.3 MB
/2. Using Hadoop's Core HDFS and MapReduce/2. Installing the MovieLens Dataset.srt	9.9 KB
/2. Using Hadoop's Core HDFS and MapReduce/11. [Activity] Check your results against mine!.srt	14.1 KB
/2. Using Hadoop's Core HDFS and MapReduce/2. Installing the MovieLens Dataset.mp4	30.6 MB
/2. Using Hadoop's Core HDFS and MapReduce/10. [Exercise] Rank movies by their popularity.srt	12.3 KB
/2. Using Hadoop's Core HDFS and MapReduce/11. [Activity] Check your results against mine!.mp4	35.4 MB
/2. Using Hadoop's Core HDFS and MapReduce/1. HDFS What it is, and how it works.srt	23.2 KB
/2. Using Hadoop's Core HDFS and MapReduce/4. MapReduce What it is, and how it works.srt	18.1 KB
/2. Using Hadoop's Core HDFS and MapReduce/10. [Exercise] Rank movies by their popularity.mp4	14.5 MB
/2. Using Hadoop's Core HDFS and MapReduce/9. [Activity] Code up the ratings histogram MapReduce job and run it.srt	12.1 KB
/2. Using Hadoop's Core HDFS and MapReduce/1. HDFS What it is, and how it works.mp4	33.0 MB
/2. Using Hadoop's Core HDFS and MapReduce/4. MapReduce What it is, and how it works.mp4	22.2 MB
/2. Using Hadoop's Core HDFS and MapReduce/5. How MapReduce distributes processing.srt	21.7 KB
/2. Using Hadoop's Core HDFS and MapReduce/7. Troubleshooting tips installing pip and mrjob.html	0.9 KB
Showing first 15 files of 225 total files