From proof of concept and prototype to production, we use our engineering expertise to deliver enterprise platforms that utilise the latest technologies. Our experts share their knowledge through a series of articles in this blog.
Adriana Calomfirescu explains how the new data architecture concept of data mesh can resolve challenges posed by the ever-growing data volumes usually stored and processed in central data repositories, and how it can help companies fully exploit the potential of their data.
Stefana Belbe presents an extended abstract of an academic research paper co-authored by her and her research colleague Codruta Mare on the “Spatial Clustering Behaviour of Covid-19 Conditioned by the Development Level: Case Study for the Administrative Units in Romania”, including the data analysis methods employed and the main findings.
Alveiro Garcia explores the fundamental concepts of Elasticsearch and how they work together to provide storage and relevance scoring. He also presents a case where these features led to Elasticsearch being chosen as the main data repository for an internal project.
Gabriel Preda revisits Endava’s contribution to the NASA COVID-19 Space Apps Challenge in May 2020, when the disease was still on its way from epidemics to global pandemic. He shares how the team used a wide range of scientific data to analyse possible correlations with COVID-19 emergence and how such a model can benefit complex data analysis projects in general.
Adina Gabriela Stavar explains the importance of a Data Maturity Model as the foundation of enterprise data management and describes five different levels of data maturity, from building data awareness to leveraging data to extract relevant business insights from data.