One of the biggest challenges that businesses face with their datasets is duplication. Teams encounter thousands of rows in the customer dataset, knowing that their… Read More »The art of removing duplicates from your organizational data
Data Lifecycle Management
Data Lifecycle Management focuses on data governance, data cleansing and quality, and data stewardship. The rubric applies to articles that focus primarily on the high-level preparation, flow, and use of data through an organization, rather than with one single facet such as storage or analysis.
What is data transformation? Simply put, data standardization is the process of transforming data values from an incorrect format to a correct one.
Data accuracy is the biggest challenge many businesses encounter in their quest to cleanse data. Having accurate data is the foundation of the usefulness of data in all its stages of use.
Data profiling focuses on examining and analyzing data, followed by creating a useful summary of that data.
Businesses, whether big or small, know that understanding data is essential to making informed decisions that impact the organization’s bottom line.
Defining Data Observabilityand Data Quality As companies gather seemingly endless data streams from an increasing number of sources, they start to amass an ecosystem of… Read More »Data Observability Vs Data Quality: What makes them different?￼
In this article, let’s discuss one of the trendy and handy web-scraping tools, Octoparse, and its key features and how to use it for our… Read More »Exploring Octoparse for Data Preparations and Product Assessment
Database performance allows developers or database administrators to enhance the system resources for lasting performance improvements. Databases are like the central nervous system of an… Read More »5 Ways to Optimize Database Performance