RankFocus - Systems and Data - Big data and small steps
Rank Focus. Big data and small steps.
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Run Berkeley Spark's PySpark using Docker in a couple minutes | RankFocus - Systems and Data
Python 2.7 on Spark using Docker, using AmpLab Docker tutorial as a base but fixing its bugs.
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Spark Archives | RankFocus - Systems and Data
For those of you interested in running the BDAS Spark stack in a virtualized cluster really quickly, the fastest way is using Linux Containers controlled by Docker. Using Andre Schumacher’s fantastic ...
Rankfocus.com news digest
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10 years
Run Berkeley Spark’s PySpark using Docker in a couple minutes
For those of you interested in running the BDAS Spark stack in a virtualized cluster really quickly, the fastest way is using Linux Containers controlled by Docker. Using Andre Schumacher’s fantastic Berkeley Spark on Docker scripts and tutorial, you...
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10 years
Spark Summit 2013 in San Francisco!
I will be heading over to Spark Summit 2013 to learn all about the latest in Berkeley’s Spark Platform – BDAS. Not only does it have a better name than Hadoop, but it’s built for a lot more flexibility than Map-Reduce (even given Hadoop YARN…yuck) —...
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10 years
Automagically GZip a file remotely before downloading it with SCP!
I don’t know about you, but since I don’t live in South Korea, I do not have near-infinite bandwidth. If you have a file up on a Unix server that you want to download with SCP down to your server, it sure would be awesome if you could automatically...
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11 years
Use multiple CPU Cores with your Linux commands — awk, sed, bzip2, grep, wc, etc...
Here’s a common problem: You ever want to add up a very large list (hundreds of megabytes) or grep through it, or other kind of operation that is embarrassingly parallel? Data scientists, I am talking to you. You probably have about four cores or more...
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| Web host: | New Dream Network, LLC |
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| Updated: | May 21, 2023 |
| Expires: | May 24, 2024 |
| Created: | May 24, 2007 |
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