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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.

In case you can’t afford to stay away from the office floor or if you want a self-paced and location-independent training, you can opt for our e-Learning alternatives. These courses allow you to follow training during one month at your own pace.

Databricks was originally developed by the creators of Apache Spark and aims to deliver a unified platform where data scientists & engineers can work together to build end-to-end machine learning solutions from data discovery up to production.

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

Azure Blob Storage is a scalable cloud storage designed to store huge amounts of unstructured data. Azure Blob is the go-to-storage for unstructured data.

element61 has worked on many occasions with customers (different industries and sizes) mapping out challenges with regards to big data and defining a solid and scalable solution to process and analyse their data.

element61 has a solid understanding on use cases where Azure Event Hubs might prove to be useful for your organization. We can help you decide if this is the best solution for you and implement it to build a big data pipeline.

element61 has worked with Azure Functions on many occasions either to just create an API which when called is triggering a script, making predictions on real-time coming data, as a connector between different Azure services etc.

We have a solid understanding of defining when Azure Stream Analytics would be the best solution for your organization’s real-time data analytics and to help you design an end-to-end solution.