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8 best Java Dataset libraries in 2022

by Open Weaver kits ✔

Java is an object-oriented programming language for applications and websites that was first released by Oracle in 1995. Data is a very important part of business. If a business does not have data, it will not be able to grow its revenue. In the past, businesses used to collect data manually from their users. Nowadays, companies use computer programs to gather data from their clients. These programs are called "datasets". Datasets are a structured collection of data which can be used for storing tabular, non-tabular and hierarchical data. Java ecosystem has many libraries and frameworks to help developers to manage data at scale. Data are the foundation of all research. They play a pivotal role in various fields such as data science and machine learning. Developers tend to use some of the following Java Dataset open source libraries: hollow - java library and toolset for disseminating in memory datasets; MiDaS - Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular De; mongolastic - dataset migration tool.