The evolution of cloud-based data profiling
Cloud migration and integration projects rely on good quality data to meet their objectives. However, traditional technologies have struggled to manage the volume and complexity of modern cloud computing and storage.
This article explores a use case from one organisation that embraced the next era of cloud data quality technology by incorporating it directly into its delivery approach.
The outcome has delivered better quality projects at a fraction of the time than conventional approaches whilst opening up exciting avenues for future project innovation.
Myers-Holum, Inc. (MHI) operate at the cutting-edge of data engineering and data integration, having helped over 1000 enterprises to streamline their operations, financials and business processes.
Driven by a desire to reduce maintenance costs, increase computing power, and exploit the massive rise in data volumes, clients reach out to MHI for help in either transitioning legacy analytical systems into Google Cloud or building out entirely new Google Cloud analytical solutions.
