arrangeres av Saleem Pothiwala og resten av fagfolkene fra faggruppen BI & Analytics
One important aspect of data engineering is the ability to detect and manage data drift, which is the term used to describe changes in the characteristics of a dataset over time. Smart data pipelines can help with this by providing alerts and notifications when they detect changes in the data that may indicate data drift while ingesting the data without any intervention.
Overall, the use of smart data pipelines is an important part of the data engineering process. By automating many of the tasks involved in moving and transforming data, smart data pipelines allow data engineers to focus on other important tasks, such as building systems that can extract value from the data. This makes them an essential tool for anyone working in the field of data engineering.
I will discuss the scenarios and provide some live demos of smart data pipelines.
3 key takeaways
- Smart data pipelines can automate many of the tasks involved in moving and transforming data, allowing data engineers to focus on other important tasks.
- Smart data pipelines can provide alerts and notifications when they detect data drift, allowing data engineers to quickly address any issues.
- Smart data pipelines can be configured to automatically take corrective action when data drift is detected, ensuring that the data remains accurate and consistent.