Hive vs Iceberg Tables in AWS Athena
Choosing the Best Option for Your Data Pipelines with dbt
The rapidly changing world of data could be overwhelming: the rush to cloud, the increasing data volumes, the call for data-driven strategic initiatives is getting louder and louder, a wider variety of data consumers and the growing technology landscape. Don’t be overwhelmed, but join this course and discover the key components, capabilities and evolutions within a Modern Data Platform
In this training
After this training
This training is for
Business Analytics
Half day
400
Mechelen
Choosing the Best Option for Your Data Pipelines with dbt
Envision a situation where you're tasked with managing clickstream data received via Snowplow. In this blog post, we'll guide you through our solution, step by step.
As much as off-the-shelf Customer Data Platforms promise to offer a click-and-play solution, they cannot magically crack every intricate data engineering challenge.
Let’s dive into how we troubleshooted such performance issues and how Hyperscale came to the rescue.