What are some common challenges in data engineering?
An example of an AI chatbot conversation about data engineering challenges.
What are some common challenges in data engineering?
Some common challenges include data quality issues, scalability, integration of diverse data sources, and ensuring data security.
How can I overcome data quality issues?
You can implement data validation checks, use data cleaning tools, and establish clear data governance policies.
What tools are best for data integration?
Popular tools for data integration include Apache NiFi, Talend, and Informatica, each with its own strengths.
Can you explain scalability in data engineering?
Scalability refers to the ability of a system to handle increased loads by adding resources, either vertically or horizontally.
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