How to unleash the robust of a data strategy: Interview with Mohamed Ashraf Ghazala
A comprehensive data strategy is essential for any organisation in the digital era.
A comprehensive data strategy is essential for any organisation in the digital era.
A Data Mesh incarnation is a data platform and lake that has been split up into multiple ponds and multiple processing environments, controlled and operated by different teams.
Data Mesh is one of the hottest topics in data analytics at the moment. It has found its way into the trends that are predicted to disrupt and dominate the data market in 2021.
They say great ideas are born out of necessity. The data & analytics field is no exception. Although DataOps is seen as a fairly new and disruptive methodology, leaders in data and AI pioneered in finding more efficient, agile and easier ways of designing data pipelines long before it was incarnated into a defined concept.
As business leaders are navigating the cloud environment and are searching for the perfect cloud platform to provide flexible and easy migration across the cloud infrastructure, many of them have adopted the multi-cloud strategy.
We are going to see Klarna’s story from an engineer’s and data scientist’s point of view, where first we look into their data organisation and structure, and later we’ll devote the white space to their machine learning models for superb purchase experience.
This is why this time we are going to look into H&M Group’s data management journey. Alex Astrogold, H&M Group’s Data Management Architect portrayed the other side of the global retail brand’s data coin at Data 2020 Summit 2019.
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