Mutable Ideas

Notes and ideas about Java, Scala, Big Data, NoSQL, Quality and Software Deploy

Making Hadoop 2.6 + Spark-Cassandra Driver Play Nice Together

We have been using Spark Standalone deploy for more than one year now, but recently I tried to use Azure’s HDInsight which runs on Hadoop 2.6 (YARN deploy).

After provisioning the servers, all small tests worked fine, I have been able to run Spark-Shell, read and write to Blob Storage, until I tried to write to Datastax Cassandra cluster which constantly returned a error message: Exception in thread "main" java.io.IOException: Failed to open native connection to Cassandra at {10.0.1.4}:9042

Vagrant + Spark + Zeppelin a Toolbox to the Data Analyst (or Data Scientist)

Recently I built an environment to help me to teach Apache Spark, my initial thoughts were to use Docker but I found some issues specially when using older machines, so to avoid more blockers I decided to build a Vagrant image and also complement the package with Apache Zeppelin as UI. This Vagrant will build on Debian Jessie, with Oracle Java, Apache Spark 1.4.1 and Zeppelin (from the master branch).

Create Your Own Dataset Consuming Twitter API

Several tutorials have an assumption you own a data set. Often that is not the case and you just can’t take advantage of the tutorial because you don’t have data to play along. To comply with social networks Terms and Conditions you can’t publish your data sets, but you can create your own! Follow through these few commands.

¿Por Qué Cambiar De Apache Hadoop a Apache Spark?

Esta charla describe la experiencia de Socialmetrix con más de un año usando Apache Spark en producción, las razones que nos llevaron al cambio de Hadoop+Hive a Spark y los hechos que tomamos en cuenta para soportaron la toma de esta decisión.

How to Create Interactive Tweets Heatmaps

This posts shows how to create heatmaps of conversations taking place on Twitter, this is a proof of concept technic to learn more about our current datasets, this knowledge would be latter applied to the product development cycle. My objective here is to share a simple way to create a quick visualization and be able to make an internal demo.