How can you improve the performance of Pig on large datasets? What are some common performance bottlenecks in Pig?
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what is apache pig
- What are some future trends in the Hadoop ecosystem that might influence the development of Pig? How does Apache Pig handle the adoption of newer data processing paradigms like serverless computing or data lakes?
- Can you call shell scripts from Pig? How do you handle dependencies in Pig projects?
- Can Pig be used to process CRM data for analytics?
- Are there any features in Pig to support data security and compliance requirements?
- How do you optimize Pig scripts for performance?
- Can Pig be used to process data streams from platforms like Kafka or Kinesis?
- Are there better tools for machine learning on Hadoop? How does Apache Pig handle geospatial data?
- How can you perform integration testing of Pig scripts?
- Does Pig support data encryption? How does Pig handle authentication and authorization?
- Are there any architectural patterns or best practices for designing scalable Pig applications? How does Apache Pig handle the cost optimization of running Pig jobs in cloud environments?
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