Track of the Week
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| machinelearning | | nlp | | computerscience |
| elasticsearch | | bigdata | | searching |
| bigdata | | spark | | performance |
| bigdata | | hadoop | | conference |
In this post I’ll be explaining how I added tags to this website built using Jekyll and hosted on Github. I have a previous post explaining how I integrated Google Analytics and Adsense within the site too, you can find that post here: Adding Google Analytics and Googe AdSense to a Jekyll Website
| android | | programming | | java |
| android | | java | | programming |
In this post I will be deviating slightly from the usual Big Data posts to talk about some pragmatism within my in progress android application; Gymify. The app is a gym session tracking application. Initially it is being developed for my own personal use, but I may publish it if I feel it gets to a good enough state. In reality it’s a project to keep my programmer brain active.
In this post I will be discussing some simple use cases and important features of Apache Flume.
Here we are going to look at using Sqoop to do a little more than simply import or export data, including ensuring data imported is in a suitable format for use with Hive.
What is apache SQOOP?
This is Part 3b of the Pentaho series where I will be continuing to demonstrate how to easily migrate a MySQL database to hive.
This is Part 3a of the Pentaho series where I will be covering some more advance aspects of Pentaho DI by demonstrating its capabilites in migrating a set of databases from MySQL to Hive.
This is Part 2 of the Pentaho series. If you haven’t yet already, check out PART 1 first!
This is Part 1 in an n part series about using the Pentaho Data Integration tool.