Reconcile data between source and analytics database after every data load
Measures how well a dataset meets criteria for accuracy, completeness, validity, consistency, uniqueness, timeliness, and fitness for purpose
Ability to understand, diagnose, and manage data health across multiple IT tools throughout the data lifecycle
An organized inventory of data assets in the organization
Practice in which incremental code changes are made frequently and reliably
Compare two database definitions and apply the differences from the source to the target
Collaborative data management practice
Flowchart that illustrates how “entities” such as people, objects or concepts relate to each other within a system.
Automate IT infrastructure provisioning and CI/CD processes with Infrastructure as a Code. This will reduce the amount of required manual work and free up your engineers’ time.
Сombine and interchange different cost tiers of computing and storage resources and services based on current requirements, as well as future capacity needs.
Effectively manage the use of your cloud resources and boost the development speed by enabling the automatic on-demand running of the infrastructure.
Take advantage of services offered by cloud providers and easily combine them with custom tools to cover your needs in the most optimal and efficient way.
Keep up on our always evolving product features and technology. Enter your e-mail and subscribe to our 4DAlert.