Amazon Web Services776 тыс
Популярные
Опубликовано 15 мая 2018, 22:31
Use AWS Lambda to analyze a stream of tweets and perform sentiment analysis in this live stream on www.twitch.tv/aws. Senior Software Development Engineer, James Hood, and Specialist Solutions Architect, Heitor Lessa, walk you how to build a serverless app to process tweets in real-time without having to learn how to interact with the Twitter API. James and Heitor guide you through coding and deploying a Lambda function that processes tweets from the AWS Serverless Twitter Event Source app, available in the AWS Serverless Application Repository. In this Build on Serverless Twitch stream, you'll work with the AWS Serverless Application Repository, AWS Lambda, Amazon DynamoDB, Amazon Comprehend and, more importantly, Java code.
Learn More about Serverless:
aws.amazon.com/serverless
Watch past Build on Serverless broadcasts:
aws.amazon.com/developer/commu...
See the upcoming Build on Serverless Schedule:
aws.amazon.com/developer/commu...
Join the Serverless conversation on Slack:
awssamopensource.splashthat.co...
Get an overview of the Serverless Applications Lens:
d1.awsstatic.com/whitepapers/a...
RSVP for future Build on Serverless episodes:
twitch.tv/events/umX-DTI8Q3qWl...
Learn More about Serverless:
aws.amazon.com/serverless
Watch past Build on Serverless broadcasts:
aws.amazon.com/developer/commu...
See the upcoming Build on Serverless Schedule:
aws.amazon.com/developer/commu...
Join the Serverless conversation on Slack:
awssamopensource.splashthat.co...
Get an overview of the Serverless Applications Lens:
d1.awsstatic.com/whitepapers/a...
RSVP for future Build on Serverless episodes:
twitch.tv/events/umX-DTI8Q3qWl...
Свежие видео
Случайные видео