All Things Data : Scalable data solutions for Data Science, Enterprise and IoT
- Development of Reactive (scalable, resilient, responsive) data solutions
- Data Science with Spark, Scala, Hadoop, HBase, postgreSQL (helping to choose the
best technologies for the use case)
- Development and maintenance of the full solution for a specific use case
Based on these Guiding Principles
- Scalable and functional
- Event Sourcing, CQRS, Kappa and Lambda architectures
- Functional languages and TDD
- Analysis tools: Spark, GraphX, MLlib
- Storage tools: Kafka/Samza, Cassandra, HBase, PostgeSQL
The main Use Cases
- Data Science : "Data everywhere"
- Enterprise : "Streams everywhere"
- IoT : "Sensors everywhere"
All Things Data is co-founded by: