Modern data platforms require modern data modelling techniques
Most data platforms need traditional data warehouses to cover daily reports and BI. But the use of unstructured data in machine learning requires an evolution of data modelling techniques. In this webinar we’ll talk about it in detail. Make sure to stick around for the Q&A at the end of the webinar.
Is Data Lakehouse enough?
Modern solutions like Data Lakehouse offer a unified Metadata and Data Governance Layer. Let’s take a peek together on how to decide on the best shape(s) of your data.
Schema-on-read vs schema-on-write, is there more?
Unstructured data requires a dynamically created model. However, structured data doesn’t, but has its limitations. In some cases you need a hybrid solution to overcome challenges behind creating operational ML solutions and real-time reporting.
