Data pipeline design involves creating a system to efficiently collect, process, and analyze data.

• Understand the data sources and requirements before designing the pipeline.

• Use tools like Apache Kafka, Apache NiFi, or AWS Glue for data ingestion and processing.

• Implement data validation and error handling mechanisms to ensure data quality.

• Consider scalability and performance optimization while designing the pipeline.

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Find number of triplets in array whose sum is less than or equal to target.

• Sort the array in ascending order.

• Use three pointers to iterate through the array and find triplets.

• Update pointers based on sum of triplets and target value.

Project management drilling on processes involves closely monitoring and improving project workflows.

• Regularly review and analyze project processes to identify bottlenecks and inefficiencies

• Implement process improvements based on data-driven insights

• Ensure team members are following established processes and provide training as needed