AA - Advanced Analytics

IBM Data Science Experience is IBM's on-premise collaboration platform for data scientists. It allows data scientist to create, work and share notebooks written in R, Python or Scala.

Azure Batch is a compute management platform from Azure that allows for large-scale parallel batch workloads to be run in the cloud.

Azure Databricks est une version gérée de la plateforme Databricks optimisée pour fonctionner sur Azure.

Business analysts and programmers are getting more and more into contact with advanced analytics. Although not the core of their job, they must gain an initial understanding of what it is, and what value it can bring to their organization. Therefore, we have created a 2-day introductory training in Data Science explaining all the important concepts, and the process that leads to a successful project.

With over 12 years of experience in BI and being a certified Databricks partner, element61 beliefs Databricks has a powerful role to play in a Modern BI Data Platform. On this page we give a rough sketch of why and how to run BI through Databricks and tips to get started. Feel free to contact us if you want to know more

What is Airflow Airflow is an open-source project that was initiated at Airbnb in 2014. With the strong support of the community the Airflow project is quickly evolving and releasing new versions and integrations. Airflow is currently considered one of the top projects in the Apache Foundation.

In this training we aim to share and show how a Data Scientist can get started with Machine Learning projects in the Azure Cloud.

Manual quality control in high-volume manufacturing can be unwieldy and time-consuming and can be a significant driver of costs. AI can alleviate a major portion of the issues associated with performing quality control in a high-volume production environment. Here is how.

It's important to learn how to embrace Azure DevOps for Data & Analytics workloads

These questions are being raised regularly by different people within the organizations we talk to. However, way too often, we see organizations looking immediately into technological solutions and diving directly into specific use-cases.