Maria's journey in the data fields

Not too long ago, Data Administrators had to change their long habit of having a monolith database. They were forced to accept and agree to the  Polyglot persistence - the developer's teams have started to choose different data storage and technologies that would support each application team's data model requirements. The time has arrived to break down  also the Data Lake monolith paradigm .  Refactoring monolith Data Lake makes a lot of sense.   The central data lake as well as the central data team is often a huge bottleneck . The central data team is usually busy with fixing broken data pipes and taking care of constant data changes made by the domain owners/development teams.  Data Mesh architecture is coming to the rescue here. Instead of a centralized data team, there would be multiple decentralised domain data teams, producing data sets or consuming other teams' data sets. Domain data team usually knows their domain data very well and are aware ...

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