Today, we’re very proud to announce that Dataiku achieved the AWS Machine Learning Competency status. Why, you ask? Well, our mission is (and always has been) to enable all enterprises to become large-scale data innovators, and this is just another step toward that goal.
What Is the AWS Competency Program Exactly?
The Amazon Web Services (AWS) Competency program is designed to highlight AWS Partner Network (APN) Partners who have demonstrated technical proficiency and proven customer success in specialized solution areas - specifically in the ML/AI area in the case of Dataiku (and part of the Platform Solutions segment).
What Does That Mean in Practice (i.e., How Does Dataiku Work with AWS)?
Dataiku offers several integrations points with the AWS products, including:
- Connectivity to Amazon S3 to store and access to large amounts of structured or unstructured data.
- Connectivity to Amazon Redshift to perform interactive analysis and aggregations of large datasets using a SQL interface.
- Connectivity to Amazon EMR to run large-scale data transformations jobs using MapReduce or Spark, or train machine learning models using MLLib.
The bottom line is that these integrations ensure that our customers will be able to build and deploy new data products more efficiently. They can leverage Dataiku to have data scientists and beginner analysts collaborate within a unified framework for both development and deployment of machine learning projects, all running on top of the AWS platform for its elasticity, simplicity, and scalability.
Coming Up
Dataiku running on top of the AWS platform and leveraging AWS products is a powerful combination, offering the ability for our customers to innovate more quickly by creating new scalable and secured data products. Achieving the AWS Machine Learning Competency is a key milestone for Dataiku, and this proves our continued commitment to working closely with our ecosystem to offer the best experience possible for our customers.