What are some limitations of using Pig for multimedia processing? How does Apache Pig handle scientific data?
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what is apache pig
- What is the Pig execution environment? What are the different execution modes in Pig?
- Can Pig be used for data cleaning and validation?
- What are some techniques for data discovery using Pig? How does Apache Pig handle data cataloging?
- Does Pig support data encryption? How does Pig handle authentication and authorization?
- What factors affect the memory usage of Pig processes?
- How can you orchestrate the execution of multiple Pig scripts as part of a data pipeline? How does Apache Pig handle the management of dependencies for Pig scripts and UDFs in a production environment?
- How can Pig be used to enforce data governance policies? How does Apache Pig handle the support for different data privacy and security requirements, such as data masking, anonymization, and encryption?
- Are there any tools or features in Pig to help with data archival? How does Apache Pig handle the integration with data testing frameworks and methodologies, allowing for the systematic validation of data transformations and pipeline logic?
- How do you work with bags in Pig? What are bag operations in Pig?
- What are some factors that can affect network performance in Pig jobs?
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