Hive vs Iceberg Tables in AWS Athena
Choosing the Best Option for Your Data Pipelines with dbt
The lakehouse architecture is quickly becoming the new industry standard for data, analytics and AI. It proposes a solution to the most important challenges the established data architectures, Data warehouse and Data lake, are facing.
In this training
we'll guide you trough the most important concepts within the lakehouse architecture and explore delta lake and Apache Spark.
After this training
you will have the necessary insights to design and setup a Lakehouse architecture using Azure Synapse or Databricks.
This training is for
data architects, engineers and developers.
Data science & Engineering
Half day
350
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.
The EU AI Act has arrived and we're at a crossroads: do we wait for regulations to guide us, or do we start asking the hard questions now?
Everyone has heard about the potential AI has in transforming industries and domains, as well as the world as a whole... But is this hype real?