While big data benefits are numerous, the use of big data requires, however, addressing
new challenges related to data processing, data security, and especially degradation of data …

The increasing reliance on Big Data analytics has highlighted the critical role of data quality
in ensuring accurate and reliable results. Consequently, organizations aiming to leverage …

Big data has emerged as a fundamental component in various domains, enabling
organizations to extract valuable insights and make informed decisions. However, ensuring …

With technological innovations, enterprises in the real world are managing every iota of data
as it can be mined to derive business intelligence (BI). However, when data comes from …

Modern stream processing systems typically require ingesting and correlating data from
multiple data sources. However, these sources are out of control and prone to software …

If companies have access to more data than ever, integrating such data into a single
platform has become more challenging. One of the main challenges faced for data …

As Big Data becomes increasingly essential in decision-making processes, the quality of the
data used is critical. Data quality anomalies can lead to incorrect results, making it essential …

The evolution of information technology combined with artificial intelligence, IoT (Internet of
Things) and robotics has made processes integrated and intelligent. The increased use of …

The advent of big data has ushered in a new era of opportunities across industries,
facilitating transformative insights and operational enhancements. However, the inherent …

This paper aims to conduct a systematic analysis of the literature on existing data cleaning
methods in Big Data. It is a constantly evolving research area due to the growing importance …