What are the common challenges faced when implementing a data lake?
An example of an AI chatbot conversation about data lake challenges and solutions.
What are the common challenges faced when implementing a data lake?
Some common challenges include data quality issues, integration with existing systems, and managing data governance.
How can organizations ensure data quality in a data lake?
Organizations can implement data validation processes, use automated data cleansing tools, and establish clear data governance policies.
What are the best practices for data governance in a data lake?
Best practices include defining data ownership, implementing access controls, and regularly auditing data usage.
Can you explain the difference between a data lake and a data warehouse?
A data lake stores raw data in its native format, while a data warehouse stores structured data optimized for analysis.
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