AA - Advanced Analytics

What is Infrastructure as Code Setting up a Data Platform in the Cloud means spinning up various Cloud Components and configuring them all to work together as a Modern Data Platform.   Infrastructure as Code

What's a Data Lake A Data Lake is a file-based system where we organize all our data whether it is small or big, structured or unstructured. By nature, it can store any type of file format including pictures, videos, documents, and raw files (JSON, XML, TXT, CSV).

element61 has defined the Modern Data Platform as an overall framework to architect with its customers a Big Data Platform suited to their needs.

We translate business problems into concrete data solutions—combining Machine Learning, GenAI, rapid ad-hoc analysis and compelling data visualisation. Through close collaboration we lift your organisation’s data maturity, one outcome at a time.

We can build your Big Data Platform. Our Data Engineers are certified experts in building your Big Data Platform in Cloud technology. We adhere to most recent best-practices and build everything with Infrastructure-as-code and Continuous integration and deployment.

Which experience has element61 in AI element61 has been helping organizations for years with the set-up of AI. Our Data Scientists and Data Engineers are certified in SAP, IBM, and Microsoft technology and have functionality expertise. Some examples of realized purposes:

A Customer Data Platform solves a critical problem facing marketeers today: the need for unified, accessible customer data.

Join element61 Data Science Training and learn from the highly experienced data scientists, you will get a broad look in different data science topics such as Machine learning, Artifical intelligence, Data Discovery, Data Preparation, Deep learning using tensorflow, Data Discovery,

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.

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.