Hive vs Iceberg Tables in AWS Athena
Choosing the Best Option for Your Data Pipelines with dbt
How to build a cost-effective and robust streaming data pipeline
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.
Microsoft Azure Data Factory as a must-consider alternative for on-premise ETL – tools
When using cloud-based technology your data is processed, stored and maintained in the cloud and not on a physical server at your organization.
This means that no infrastructure is necessary for the set-up and you don’t need to worry about system maintenance. This helps in saving resources (time and money) at the start of a project which can be used to understand requirements of the business. Your cloud solution will also be more adaptable to changing situations : newer features can be added easily and up-scaling is only one click away. By the hand of the different data security protocols and features, you can sleep soundly that your data will be secure in the cloud.