Datanews Awards for Excellence 2018 nomination

  • by: Thomas Vanhove
  • On: 21, Mar 2019

Datanews Awards for Excellence 2018 nomination

Tengu has been nominated for Datanews Awards for Excellence 2018!

7 min read

The 5 ways in which automation will change the big data landscape

Many companies are moving their data and applications to the cloud. This is quite unsurprising news, right? But there are 5 other trends we see appearing that you'll better keep an eye on as a data sc...

2 min read

Smart Retail Trends 2019: 18 retail experts share their thoughts.

The retail industry is facing some big challenges and the question is... are you ready for them?

1 min read

What's a Tengu 👺 ? The story behind our logo.

We get quite some questions about our company's logo. Why are we called Tengu? What's a Tengu? And why have we chosen this 'Tengu' to represent our company?

2 min read

De Collision conferentie | Twee Belgische startups geselecteerd

Eind april gaat in het Amerikaanse New Orleans de grootschalige tech conferentie Collision door. Met meer dan 25000 participanten is Collision een van de snelst groeiende conferenties ter wereld. En z...

5 min read

What we've learned on the tech conference #CollisionConf 2018

Last week our Tengu team headed to Collision Conference, the fastest growing tech conference in the US according to Forbes. Next to the fact that we've enjoyed the three sunny, jazz-filled Conference ...

2 min read

Deploy Spark-Hadoop in less than 30 minutes

Suppose that we want to install an Apache Hadoop cluster with 3 Hadoop Slaves. On top of that we deploy Spark, which can be used for processing the data stored on HDFS and Zeppelin to visualize the da...

Why Your Data Scientists are not Innovating Fast Enough

Data scientists and data engineers are in high demand these days. For instance, I see marketing agencies quickly hiring a “data scientist" out of fear for missing the "big data train" or they are afra...

7 min read

Tengu: the DataOps Interface for easier and faster data analysis

In a data-driven world, a lot of pressure is put on the data team to make sense of the massive amount of information companies have stored.