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Innovation

Innovation

Mario Castro Ponce (Comillas Pontifical University), Manuel de León (CSIC Institute of Mathematical Sciences, Royal Academy of Sciences, and BBVA OpenMind contributor) and Antonio Gómez Corral (Complutense University of Madrid) discuss the urgency of having reliable data in order to be able to predict the evolution of COVID-19.

  • Manuel de León

Older people with limited knowledge about the digital world are especially vulnerable to Internet fraud. The frequency of these attacks has risen notably during COVID-19 social distancing, a time when hackers are taking advantage of the dramatic increase of user time online and the vulnerability of certain groups of people.

Transactionality in databases is fundamental for critical systems, but the historical asymmetry between reads (massive) and writes (specific, but can impact in the middle of a read operation) could be solved with a new approach. Last year Databricks released to the community a new data persistence format built on Write-Once Read-Many (HDFS, S3, Blob storage) and based on Apache Parquet.

Researchers, businesses, and innovators around the world are putting technology to work to alleviate the effects of the global health crisis. From applications that collect data to track the spread of the virus to 3D printed ventilators for hospitals: these are some of the various technology projects rising to the occasion in the fight against coronavirus.