Translate, analyze, and redact text fields using SQL queries in Amazon Athena
2 019
16.8
Amazon Web Services773 тыс
Следующее
29.03.21 – 1 4593:11Популярные
Опубликовано 29 марта 2021, 16:49
You have Amazon S3 buckets full of files containing customer chats, product reviews, and social media feeds, in many languages. Your task is to identify the products that people are talking about, determine if they’re expressing happy thoughts or sad thoughts, translate their comments into a single common language. Additionally, you need to remove any personally identifiable information (PII), such as names, addresses, and credit card numbers. Now, using Amazon Athena User defined Functions and the pre-built Text Analytics UDF Lambda, you can do it all with Athena, using familiar SQL statements
Learn more about Text Analytics UDF - amzn.to/3szk9PC
Subscribe:
More AWS videos - bit.ly/2O3zS75
More AWS events videos - bit.ly/316g9t4
#AWS #AWSDemo
Learn more about Text Analytics UDF - amzn.to/3szk9PC
Subscribe:
More AWS videos - bit.ly/2O3zS75
More AWS events videos - bit.ly/316g9t4
#AWS #AWSDemo
Свежие видео
4 дня – 1 154 05210:55
7 дней – 1 5770:38
20 дней – 1 6940:16
21 день – 3 4913:57
21 день – 201 0443:40
Случайные видео
107 дней – 7 4241:29
341 день – 6 1270:16
11.05.23 – 526 8100:41
05.06.22 – 46 5634:40
30.10.21 – 4 90010:30
12.02.17 – 21 495 5106:13
5 часов – 9118:27
7 часов – 6931:16
3 дня – 2 1935:21
3 дня – 15 6681:00
