Matteo Garbarino
A Modern Solution for Big Data Management: the Data Lake.
Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024
Abstract
The ever-growing diffusion and complexity of digital technologies since their introduction in the 20th century have led to an exponential increase in generated and stored data. Nowadays, every institution and company is compelled to adopt techniques for data storage and processing that align with their business needs. In data-intensive contexts, where data plays a pivotal role in operations, the challenge of big data management has emerged. Standard off-the-shelf databases often fall short in meeting the technical requirements and performance demands posed by these scenarios. Thus, the imperative to adopt specialized solutions tailored to address modern challenges has become apparent, leading to the introduction of a wide variety of new technologies.
This thesis work delved into an analysis of the most prevalent big data solutions, ultimately focusing on one of the latest advancements in the field: the data lake
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