Hive vs Iceberg Tables in AWS Athena
Choosing the Best Option for Your Data Pipelines with dbt
Choosing the Best Option for Your Data Pipelines with dbt
Unfortunately generative AI and Large Language Models are not an universal solution to all our problems. But how can you create impact with it in your business?
Navigating the Transition with a Change Management strategy
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?
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.
In this technical blog post, we will explore the key features and benefits of MSSparkUtils, and how it can be effectively utilized to accelerate working with Spark on Azure Fabric.
Data classification emerges as a pivotal practice. Automating it can save you heaps of time and effort!
While it used to be only available in Power BI, you can now build Default Semantic Models directly in Fabric using your tables from the Lakehouse or Warehouse.
Modern business is quick, sometimes lightning fast, and assessing performance and aligning efforts with organizational objectives is paramount.