Context-aware big data quality assessment: a sco** review
The term data quality refers to measuring the fitness of data regarding the intended usage.
Poor data quality leads to inadequate, inconsistent, and erroneous decisions that could …
Poor data quality leads to inadequate, inconsistent, and erroneous decisions that could …
An advanced big data quality framework based on weighted metrics
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 …
new challenges related to data processing, data security, and especially degradation of data …
Use of context in data quality management: a systematic literature review
The importance of context in data quality (DQ) was shown many years ago and nowadays is
widely accepted. Early approaches and surveys defined DQ as fitness for use and showed …
widely accepted. Early approaches and surveys defined DQ as fitness for use and showed …
Towards a data quality assessment in big data
In recent years, as more and more data sources have become available and the volumes of
data potentially accessible have increased, the assessment of data quality has taken a …
data potentially accessible have increased, the assessment of data quality has taken a …
A systematic literature review on data quality assessment
Defining and evaluating data quality can be a complex task as it varies depending on the
specific purpose for which the data is intended. To effectively assess data quality, it is …
specific purpose for which the data is intended. To effectively assess data quality, it is …
New trends in big data profiling
A known challenge related to big data is that data ingestion occurs continuously and at high
speed, and the data profile can quickly vary because of this dynamism. Data profiling can …
speed, and the data profile can quickly vary because of this dynamism. Data profiling can …
AI-Driven Frameworks for Enhancing Data Quality in Big Data Ecosystems: Error_Detection, Correction, and Metadata Integration
W Elouataoui - ar** study
O Montero, Y Crespo, M Piatini - … 2021, Algarve, Portugal, September 8–11 …, 2021 - Springer
In the last decade, we have been witnesses of the considerable increment of projects based
on big data applications and the evident growing interest in implementing these kind of …
on big data applications and the evident growing interest in implementing these kind of …
Impact of data quality in real-time big data systems
Data Quality is one of the main challenges in any type of Big Data System. Timeliness is one
of the main factors in real-time Big Data. Limiting data quality evaluations to data sources …
of the main factors in real-time Big Data. Limiting data quality evaluations to data sources …
Scalable Data Profiling for Quality Analytics Extraction
In today's modern society, data play an integral role in the development global industry,
since they have become a valuable asset for companies, institutions, governments, and …
since they have become a valuable asset for companies, institutions, governments, and …