Scenario: You are tasked with transforming a large volume of unstructured text data into a structured format for analysis. Which data transformation method would you recommend, and why?
- Data Serialization
- Extract, Transform, Load (ETL)
- MapReduce
- Natural Language Processing (NLP)
Natural Language Processing (NLP) is the recommended method for transforming unstructured text data into a structured format. NLP techniques such as tokenization, part-of-speech tagging, and named entity recognition can extract valuable insights from text data.
Loading...
Related Quiz
- Which feature is commonly found in data modeling tools like ERWin or Visio to ensure consistency and enforce rules in the design process?
- ________ is a distributed messaging system often used with Apache Flink for data ingestion.
- Scenario: Your organization is experiencing performance issues with its ETL pipeline, resulting in delayed data processing. As an ETL specialist, what steps would you take to diagnose and address these performance issues?
- What role does Apache Cassandra play in big data storage solutions?
- Scenario: Your company is merging data from two different databases into a single system. How would you apply data quality assessment techniques to ensure that the merged data is consistent and reliable?