Category: Tools
-
Python vs. R for Data Science
In Data Science there are two languages that compete for users. On one side there is R, on the other Python. Both have a huge userbase, but there is some discussion, which is better to use in a Data Science context. Lets explore both a bit: R R is a language and programming environment especially […]
-
Apache Spark: The Next Big (Data) Thing?
Since Apache Spark became a Top Level Project at Apache almost a year ago, it has seen some wide coverage and adoption in the industry. Due to its promise of being faster than Hadoop MapReduce, about 100x in memory and 10x on disk, it seems like a real alternative to doing pure MapReduce. Written in […]
-
Comparing Stinger to Impala
With Hadoop 2.0 and the new additions of Stinger and Impala I did a (not representive) test of the performance on a Virtual Box running on my desktop computer. It was using the following setup: 4 GB RAM Intel Core i5 2500 3.3 GHz The datasets were the following: Dataset 1: 71.386.291 rows and 5 […]
-
SQL and Hadoop
Bringing SQL to Hadoop has been one of the major trends in Big Data these last twelve months. Reason enough for me to take a closer look at that scene right now. One reason to build an interface based on SQL for Hadoop is to make the technology available for more people. Companies that have […]
-
REST (Representational state transfer) APIs and Big Data
Getting data, huge amounts of data, out of some systems tends to be quite a hazzle sometimes. Often you are required to use techniques such as FTP or SSH for transfering files. But with RESTful APIs getting more attention in the last few years, there is a new way to get your data. The charm […]
-
Hadoop and MPP
With Big Data Map/Reduce is always the first term that comes into mind. But it’s not the only way to handle large amounts of data. There are databasesystems especially built to deal with huge amounts of data and they are called Massively Parallel Processing (MPP) databases. MPP database systems have been around for a longer […]
-
Visualization: Enhancing the Palo Suite with NVD3.js
After my previous post How to visualize data? I was unsatisfied with the visualization provided by the Palo Suite provided by Jedox. This could have several reasons, not the least, that I may not have been able to get the max out of it. But the quality of the resulting diagramms and it’s interactivity were […]
-
How to visualize data?
Data visualization is something like an art. How to make results from your research in data easy to understand by management, business users or just everyone out there? A list of data, like an Excel sheet ist not what catches the eye. The art in visualization is shown perfectly on the site of Martin Wattenberg. […]
-
Data Science Tools
What tools are used for Data Science? There are a lot of them out there and in this post I want to tell you about the ones I currently use or used before. KNIME is a graphical tool to analyse data. It uses an interface to build process flows that contain everything, from data transformation, […]