You may have applications that generate streaming data that is full of records containing customer case notes, product reviews, and social media messages, in many languages. Your task is to identify the products that people are talking about, determine if they’re expressing positive or negative sentiment, translate their comments into a common language, and create enriched copies of the data for your business analysts. Additionally, you need to remove any personally identifiable information (PII), such as names, addresses, and credit card numbers.
You already know how to ingest streaming data into Amazon Kinesis Data Streams for sustained high-throughput workloads. Now you can also use Amazon Kinesis Data Analytics Studio powered by Apache Zeppelin and Apache Flink to interactively analyze, translate, and redact text fields, thanks to Amazon Translate and Amazon Comprehend via user-defined functions (UDFs). Amazon Comprehend is a natural language processing (NLP) service that makes it easy to uncover

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