Several decades ago, scientists started to set up biological data collections for the centralized management of and easy access to experimental results, and to ensure long-term data availability (Fig.

Even with all the hype around NoSQL, traditional relational databases still make sense for enterprise applications. Here are four reasons why. Dave Rosenberg Co-founder, MuleSource Dave Rosenberg has ...

Polyglot persistence is becoming the norm in big data. Gone are the days when relational databases were the one store to rule them all; now the notion of using stores with data models that best align ...

Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already ...

Processing power, networking and memory/storage are key ingredients in every computing architecture and they are key factors in running any application. In this piece we want to talk about the impact ...

The Ministry of Justice and Digital Affairs plans to require public information systems handling personal data to adopt a ...

Sensor data and IoT applications have special requirements that might be better served by a specialized database. Here’s what to consider. The world has become “sensor-fied.” Sensors on everything, ...

Some NoSQL databases focus on speed, some on scale, while others aim at relationships or offline use. The right choice depends on how your ...

This study offers important insight into the pathogenic basis of intragenic frameshift deletions in the carboxy-terminal domain of MECP2, which account for some Rett syndrome cases, yet similar ...