Xavier Geerinck

Big Data Platform Comparisons

Choosing a platform for doing your Big Data processing tasks is not an easy choice. At one side you want to be flexible and open, but at another you would like a stable and robust platform that can handle your critical business workloads.

Sampling a real-time stream

A common problem when working with real-time streams is that you are unaware of the data going in there due to the vast amount of systems connected to it and producing data. Therefor it is interesting to be able to "sample" a stream, where you will connect to the stream with your credentials, wait till an event comes in and then end the connection.

Creating a Big Data cluster with SQL Server 2019

SQL Server 2019 came out in preview a while ago, and the new features announced are just wonderful! A one-to-go-tool for all your big data needs: Unstructured and Structured data that can be processed using just one tool!

Building a Minecraft Puppet Scanner with Event Hub, a NFC 522 Reader and a Raspberry PI

In Belgium we every year celebrate the coming of "Sinterklaas" on the 6th of December, a celebration for children where this mythologic figure delivers presents for all the children that behaved well that year. (see: https://en.wikipedia.org/wiki/Sinterklaas for more information). To follow this tradition, many companies hold internal events where children of the employees are invited to participate in all kinds of events. I was asked to participate in one of these events and come up with a workshop for children of all ranges - being divided in 2 groups (the very young ones, and the somewhat older ones).

Big Data, the why, how and what - A thought Process and Architecture

One of the most common questions I get when talking with customers, is how they are able to set up a good big data architecture that will allow them to process all their existing data. With as an ultimate goal to perform advanced analytics and AI on top of it, to extract insights that will allow them to stay relevant in the ever faster evolving world of today.

Building a real-time streaming dashboard with Spark, Grafana, Chronograf and InfluxDB

When you work with the Internet of Things (IoT) or other real-time data sources, there is one things that keeps bothering you, and that's a real-time visualization dashboard. So in this post, I will explain how you can set up a pipeline that allows you to visualize through 2 popular visualization tools: Chronograf and Grafana.

How-To Visualize Metrics with Grafana and Chronograf by using InfluxDB

Visualizing is an important part of working with data. Here I will walk you step by step on how you can create a working Visualization dashboard with Grafana and Chronograf which queries events through InfluxDB.