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...
Article/Blog
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...
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...
Enabling Business Intelligence with Unstructured Data Analytics
Enabling Business Intelligence with Unstructured Data Analytics By Tehreem Naeem ...
Data warehouse and Data Lake Modernization
Data Warehouse and Data Lake Modernization: From Legacy On-Premise to Cloud-Native Infrastructure By Kai Wahner ...
10 signs of significant data governance issue
10 signs that you might have a data governance problem By Rick Vanover ...