As is the case in other industries, travel industry businesses do not have the time or resources to manually cobble together data pipelines for every use case and every application as each emerges.
Automated data pipelines address or completely eliminate most of the common factors that can impact data quality.
End-to-end data pipelines serve as the backbone for organizations aiming to harness the full potential of their data.
Automated ETL paves the way for more accurate insights, informed decision-making, and a nimble response to the fluid nature of data sources and structures.
ESG found that automated data pipelines deliver a number of time and cost savings benefits.
Easy access to data afforded by automating data pipelines gives lines of business and data analysts quick access to trusted data.
Automated data pipelines offer many advantages but the shift from manual processes can be complex. Here are 5 best practices to help.
There are many different ways to control costs when implementing modern data pipelines. Here are some ideas to get started.
Organizations that embrace the shift away from manual pipeline creation will position themselves to harness the full potential of data assets and stay ahead in their data-driven journeys.
The CDC, teaming with other institutes, has developed a prototype cloud-based data pipeline, which automatically processes datasets, such as lab results or case studies.