With more than fifteen years of experience in Java technologies, Monica has developed projects for industry, finance, telecommunications and the public administration and has been a member of SpagoBI team in the Business Intelligence field. She is currently responsible for defining Big Data architectures for Engineering’s Big Data and Analytics Competency Center.  She deals mainly with leading the Group in the development of projects and POCs, offering consulting services to clients and assisting the pre-sales phase by bringing in the contribution on Big Data technologies. She runs internal courses and for clients on behalf of the “Enrico Della Valle” IT & Management School and also carries out activities to support the dissemination of Engineering’s expertise in this context, both nationally and internationally.

TECH | Nov 30, 2018

Hadoop: how can elasticity and performance be improved?

How to optimize Big Data management with Hadoop ensuring elasticity and scalability
Although perceived as innovative technology, it is good to underline that the elephantine Hadoop is already 12 years of age. Being a complex solution, created for storing and processing multi-format data, it has certainly not been adopted in such a widespread way; rather, when it has been introduced in inappropriate scenarios it has been counterproductive. In 2017, Gartner estimated that 60% of Big Data projects (most of which probably based on Hadoop) had been unsuccessful. In such circumstances, the investment in terms[…]