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Big Data with Small Computers: Building a Hadoop Cluster with Raspberry Pis
--client
pyohio
--show
pyohio_2019
--room barbietootle 14831 --force
Next: 12 Feature Engineering: An Apprentice’s Guide to the “Dark Art” of Machine Learning
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Marks
Author(s):
Alexandria Kalika
Location
Barbie Tootle
Date
jul Sat 27
Days Raw Files
Start
10:30
First Raw Start
10:24
Duration
0:30:0
Offset
0:05:29
End
11:00
Last Raw End
11:24
Chapters
00:00
0:22:25
0:24:00
Total cuts_time
28 min.
https://www.pyohio.org/2019/presentations/112
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1. Details of the hardware set up - Raspberry Pis and network set up to create a functional cluster. 2. Installing Hadoop, Yarn, HDFS, Spark etc and different software. 3. Different data sets and how to use your newly built cluster to analyze data. 4. Using powerful Spark technologies to quickly analyze datasets. 5. Overview of open source technologies in creating a personal, powerful data cluster. The Hadoop ecosystem created a wide array of amazing tools and technologies that made processing of large amounts of data easier and more fun. In this talk I will go through how to use Raspberry Pi 2s to create a distributed cluster worthy of interesting data analysis. I will use Apache Spark and other open source, easy to obtain software and hardware for data insights.
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