Bender - Serverless ETL Framework

Friendly CLI for Amazon Kinesis Data Streams

AWS Last Mile Delivery Hyperlocal

Voice of the Customer (VoC) to enhance customer experience with serverless architecture and sentiment analysis, using Amazon Kinesis, Amazon Athena, Amazon QuickSight, Amazon Comprehend, and ChatGPT-LLMs for sentiment analysis.

AWS Kinesis local for building applications with streaming data

Setup an ETL from Twitter API to S3

Amazon Kinesis Client for Go

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.

This workshop is meant to give customers a hands-on experience with mentioned AWS services. Serverless Data Lake workshop helps customers build a cloud-native and future-proof serverless data lake architecture. It allows hands-on time with AWS big data and analytics services including Amazon Kinesis Services for streaming data ingestion

Discover how you can migrate from traditional deployments to serverless architectures with AWS

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 up a table in Athena and use QuickSight to analyze the IoT data.

🇧🇷 Tradução completa do Building Event Driven Architectures do Serverless Land.

KinesisProducerNet is a .NET port of Amazon Kinesis Producer Library targeting .NET Standard

we look at how we can use managed services such as Amazon Kinesis to handle our incoming data analytics streams from our sources while AWS handles the undifferentiated heavy lifting of managing the infrastructure

Collect client behavior data from around the world via HTTP(S) requests and store them in AWS S3 bucket.

AWS Kinesis event parser and handler for Lambda consumers

AWS Kinesis Consumer Library written in Crystal

automatic image tagger and image tag analysis

Mobile App for real-time location and travel history tracking. Detects anomaly in case of deviation from original route

Streaming video to the aws-kinesis service from a Raspberry Pi 3(+) with a camera module

Team - Brogrammers. AIRA - Software Solution for Next Generation E-commerce.

:zap: A Reliable and fully customizable event router for Event-Driven systems written in Go.

Terraform Module for AWS Kinesis video stream

Spring Boot + Apache Camel EIA using AWS S3, REST APIs, AWS Kinesis, Apache Kafka --> Data Engineering EIA --> Data Engineering As Routes --> Router Pattern

Code sample for tutorial about creating a centralized logging system for AWS Lambda with Sematext Logsene.

Application demoes data pipline Producer > AWS Kinesis > AWS Lambda > AWS DynamoDb

Shipping AWS RDS logs from s3 into a kinesis stream