Friendly CLI for Amazon Kinesis Data Streams
-
Updated
Dec 1, 2020 - Python
Friendly CLI for Amazon Kinesis Data Streams
Setup an ETL from Twitter API to S3
Iot,Big Data Analytics using Apache-kafka,spark and other aws services
Sample scripts for Twitter data processing and storage on AWS
Describes the concepts of lambda architecture and the actual deployment process with an example of building a serverless business intelligence systems using Amazon Kinesis, S3, Athena, OpenSearch Service, and QuickSight.
Example project for consuming AWS Kinesis streamming and save data on Amazon Redshift using Apache Spark
you run a script to mimic multiple sensors publishing messages on an IoT MQTT topic, with one message published every second. The events get sent to AWS IoT, where an IoT rule is configured. The IoT rule captures all messages and sends them to Firehose. From there, Firehose writes the messages in batches to objects stored in S3. In S3, you set u…
automatic image tagger and image tag analysis
This sample application demonstrates Amazon SNS with AWS X-Ray active tracing
Shipping AWS RDS logs from s3 into a kinesis stream
Utility code for AWS Services. Sample use case could be querying data from KDS. This project is open to receive contribution.
Big Data Lab | Stream Delivery AWS Kinesis Firehose
Python script that produces logs observed by the Amazon Kinesis Agent
A streaming data pipeline leveraging managed services from AWS & the serverless architecture
Recovers Kinesis Firehose source records from S3, replaying them into the stream
Real-time Twitter sentiment analysis using AWS services. Captures tweets, analyzes sentiment with Comprehend, and stores results in DynamoDB for visualization and insights into trends.
Demo of running AWS Lambda and AWS Kineses locally using Localstack
Pinterest's experiment analytics data pipeline which runs thousands of experiments per day and crunches billions of datapoints to provide valuable insights to improve the product.
Add a description, image, and links to the aws-kinesis topic page so that developers can more easily learn about it.
To associate your repository with the aws-kinesis topic, visit your repo's landing page and select "manage topics."