The modern system empowers data producers to change but disempowers the people whose job it is to provide stability. Most organizations have some data platform team whose job it is to provide ...

Data diversity is king. The future of enterprise data management involves unifying types and sources of data, not just bigger amounts. But Data Scientists cite data variety as their biggest obstacle ...

In the fast-paced world of data-driven technologies, MongoDB Inc. has emerged as a powerful and flexible database platform.As organizations seek to unlock the full potential of MongoDB, data model ...

The design of a schema in MongoDB is just as important as it is in RDBMS. Indeed, schema design can be even more complicated in MongoDB. At least in SQL databases, we have the 'first normal form' ...

By applying the appropriate data modeling techniques, you can minimize redundancy, improve query speed, and create a more intuitive and user-friendly data model. Power BI Star vs Snowflake Schema ...

Database schemas are often rigid structures; the complexity of a data model grows as an application evolves, forcing engineering tradeoffs between speed or quality any time the schema changes ...

Narrator — which uses an 11-column ordering model rather than standard star schema to organise data for modelling and analysis — has picked up a Series A round of $6.2 million, money that it ...

Ariga CTO and co-founder Rotem Tamir says managing a database is hard to do and if you make a catastrophic mistake, you could lose all your data. That’s why companies tend to be conservative ...