All Things Data : Scalable data solutions for Data Science, Enterprise and IoT
- Development of Reactive (scalable, resilient, responsive) data solutions
- Data Science with Apache Kafka, Flink, Spark, Scala, Hadoop, 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: Flink, Spark, GraphX, MLlib
- Storage tools: Kafka, HDFS, PostgreSQL, S3, Parquet, ORC
- Ops tools: AWS, Ansible, Terraform, ...
The main Use Cases are:
- Data Science : "Data everywhere"
- Enterprise : "Streams everywhere"
- IoT : "Sensors everywhere"
All Things Data is co-founded by: