What should a practitioner do to reduce errors during the data ingestion process?

Implementing error validation rules is a crucial step in reducing errors during the data ingestion process. This practice involves establishing various checks and criteria that data must meet to ensure its quality and reliability before it is ingested into the system. By validating the data, practitioners can identify and rectify issues such as missing values, incorrect formats, or outlier data points early in the ingestion process. This proactive approach helps prevent errors from propagating throughout the system and ensures that only clean, useful data is ingested.

Furthermore, these validation rules can also provide feedback loops for continuous improvement, helping practitioners refine their data collection processes over time. By focusing on quality assurance at this stage, organizations can enhance their data integrity and make more informed decisions based on more accurate data.