Getting Started With Hadoop

Kevin Feasel

2016-08-09

Hadoop

Jon Morisi is looking at Hadoop:

From here I think I’ll start playing around on a sandbox.  Each of the distributions offers a way to spin up a VM or log into a cloud based environment.  There are also docker images out there. (search hadoop, cloudera, or hortonworks).  Most of these docker images look fairly new, so don’t cut yourself.

I’m looking at the HortonWorks distro, so I’ll probably setup a Hortonworks Sandbox.

Jon includes some resources he’s used to learn a bit about the topic.  I think he’s going down the right path with videos and mailing lists—the ecosystem changes too quickly for books to have much long-term value, and mailing lists & forums tend to be better for keeping up to date.  My biggest suggestion is to get case studies and play around.  Check out studies on e-mail ingest, real-time data analysis, and analyzing fantasy sports for starters.

Related Posts

Handling Errors in Kafka Connect

Robin Moffatt shows us some techniques for handling errors in your Kafka topics: We’ve seen how setting errors.tolerance = all will enable Kafka Connect to just ignore bad messages. When it does, by default it won’t log the fact that messages are being dropped. If you do set errors.tolerance = all, make sure you’ve carefully thought through […]

Read More

Batch Consumption from Kafka with Spark

Swapnil Chougule shares a few tips on performing batch processing of a Kafka topic using Apache Spark: Spark as a compute engine is very widely accepted by most industries. Most of the old data platforms based on MapReduce jobs have been migrated to Spark-based jobs, and some are in the phase of migration. In short, […]

Read More

Categories

August 2016
MTWTFSS
« Jul Sep »
1234567
891011121314
15161718192021
22232425262728
293031