Explore how to optimize data ingestion and streamline it for efficient data engineering. Uncover solutions for all major challenges to streamline your data workflows with the help of this insightful blog.
In the digital age, data is often hailed as the new gold. Businesses, from startups to large enterprises, rely on data to make informed decisions, gain insights, and fuel innovation. However, to harness the full potential of data, it must first be collected and ingested into storage using a data pipeline. This critical data ingestion process in data engineering has challenges and complexities. This blog will explore significant hurdles and best practices for data ingestion.