Kettle (also known as Pentaho Data Integration) is used by thousands of (tiny to huge) organisations all over the world.
Kettle's combination of visual development and integration with all components in a modern data architecture allow you to quickly and efficiently design complex data pipelines that can evolve with your architecture and organization.
With Kettle, you can focus on what you want to do with your data instead of how it needs to be done.
Contrary to what the name implies, traditional (relational) databases aren't very good at storing and querying relationships.
In graph databases, relationships between data points are first class citizens. Data is stored as a combinations of nodes (cf. table) and relationships (cf. join). Because relationships are stored within the database, it is possible to quickly and efficiently query known and unknown relationships.
A number of typical use cases are recommendation engines, (social) network analysis, fraud detection and path finding.
We'll assist you in modelling, loading and querying your data in graphs with market leader Neo4J.
Cloud platform are here to stay in a modern data and analytics architecture. Whether you need to process data in (relatively) small or huge volumes, in streaming or in batch, in real-time or on regular intervals, the major cloud platforms have the right tool for each task.
We assist you in designing and implementing analytics and machine learning projects on Amazon Web Services (AWS) and Google Cloud Platform (GCP).