TL;DR: I made a Docker compose that runs Hadoop, Spark and Hive in a multi-container environment. You can find the necessary files for it here: https://github.com/Marcel-Jan/docker-hadoop-spark [Update 2021-11-09: Since Docker Desktop turned “Expose daemon on tcp://localhost:2375 without TLS” off by default there have been all kinds of connection problems running Read more
If you’ve worked with the Hortonworks Data Platform 2.x sandbox of later versions in VirtualBox and made it shutdown rather vigorously, you might have noticed that you won’t get past this startup screen when you try to start it up the next time:
I had this a couple of times and that’s why I decided to pause my sandbox every time and save it before shutting down my laptop. But yesterday Windows 10 decided to step in. After a day of studying it was high time for me to have dinner, during which I kept the laptop on. Little did I know that Windows 10 at that time decided to update and restart. And to do this, it needed to shutdown every application. Including VirtualBox. When I came back I found out to my horror that my carefully prepared HDP sandbox was shutdown in the roughest of ways. Thanks, Microsoft! (more…)
This is a tutorial on how to import data (with fixed lenght) in Apache Hive (in Hortonworks Data Platform 2.6.1). The idea is that any non-Hive, non-Hadoop savvy people can follow along, so let me know if I succeeded (make sure you don’t look like comment spam though. I’m getting a lot of that lately, even though they never pass my approval).
Currently I’m studying for the Hortonworks Data Platform Certified Developer: Spark using Python exam (or HDPCD: Spark using Python). One part of the exam objectives is using SQL in Spark. Along the way you also work with Hive, the data warehouse software in Hadoop.
I was following the free Udemy HDPCD Spark using Python preparation course by ITVersity. The course is good BTW, especially for the price :). But after playing along with the Core Spark videos, the course again used the same boring revenue data for the Spark SQL part. And I thought: “I know SQL pretty well. Why not use data that is a bit more interesting?” And so I downloaded the Minor Planet Center’s asteroid data. This contains all the known asteroids until at least yesterday. At this moment, that is about 745.000 lines of data. (more…)
Just left the beergarten party at Dataworks Summit 2017 in München. Okay, let’s see how well I blog after three of these large beers. Luckily I took notes before. Tell me when I start to become incoherent.
So actually for me the summit started yesterday at the Partner day, but today the breakout sessions started. I’ve attended a cool hands-on session on Apache Ranger and Atlas yesterday. These are the new security and governance tools for Hadoop. And I think we can say that the days that you could say Hadoop is largely insecure are about to be over.
The first session today I attended was the keynote of course. I was a little bit late, but it turned out that the second row seats were largely available, so I had a good view of the speakers. A couple of them tried to convince us that (big) data was going to change everything. I already knew that. (more…)