Data quality tools aim at detecting and correcting data problems that affect the accuracy and
efficiency of data analysis applications. We propose a classification of the most relevant …

This paper presents a conceptual architecture, design, and recommendation for the IoT
Edge-based healthcare management system. The suggested architecture aims at …

With the widespread adoption of blockchain applications, the imperative for seamless data
migration among decentralized applications has intensified. This necessity arises from …

When a bank replaces its core-banking information system, the bank must migrate data like
accounts from the old into the new system. Migrating data is necessary but not a catalyst for …

Data migration has become a priority in many industries, spawned by a variety of business
needs. Most of the existing tools for Extract, Transform and Load (ETL) process of data …

As blockchain is widely applied, various decentralized applications would inevitably
encounter data migration problems, for reasons, such as the multilevel blockchain …

The optimization capabilities of RDBMSs make them attractive for executing data
transformations. However, despite the fact that many useful data transformations can be …

Haskell's type system with multi-parameter constructor classes and functional dependencies
allows static (compile-time) computations to be expressed by logic programming on the level …

Data mappers are essential operators for implementing data transformations supporting
schema map** and integration scenarios such as legacy data migration, ETL processes …

Transforming data is a fundamental operation in application scenarios involving data
integration, legacy data migration, data cleaning, and extract-transform-load processes …