Use-Case-Driven Data Readiness as an Instrument to Manage and Control Data Quality
Use-Case-Driven Data Readiness as an Instrument to Manage and Control Data Quality A data readiness-based approach to addressing data quality...
the latest news
5 Tips to improve data quality for unstructured data
5 tips to improve data quality for unstructured data by Scott Matteson in Big Data on November 8, 2022 Allowing quality data in can lead...
Knime unveils collaboration hub for analytics, data science
Knime unveils collaboration hub for analytics, data science Built to complement Knime's BI platform, the cloud-based hub is an environment...
Architecting Data Orchestration: Four Use Cases
Architecting Data Orchestration: Four Use Cases NOV 16, 2022 / BY KEVIN PETRIE DECODING DATA SOFTWARE ABSTRACT: This blog explores four use cases...
My Simple Data Strategy Framework
My Simple Data Strategy Framework by Willem Koenders Mov. 1. 2022 I’ve worked for about 10 years...
How to build an effective DataOps team
How to build an effective DataOps team More organizations are turning to DataOps to bolster their data management operations. Learn...
What is Data Lineage?
What is data lineage? Techniques, best practices and tools Organizations can bolster data governance efforts by tracking the lineage of...
6 dimensions of data quality boost data performance
6 dimensions of data quality boost data performance Generate accurate data analysis and predictions by mastering the six dimensions of...
