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Amazon Kinesis is a tool used for working with data in streams. It has a few features — Kinesis Firehose, Kinesis Analytics and Kinesis Streams and we will focus on creating and using a Kinesis firehose
This is a project which demonstrates creation of a data pipeline by scraping data using twitter API and creating a data delivery stream using Kinesis Firehose for ingesting data to Amazon S3.
The purpose of this repository is to apply a data ingestion with Amazon Kinesis Firehose saving that data to S3 using the boto3. After that I use AWS Glue to catalog and Athena to query the data.
Serverless big data streaming application using a fan-out architecture with Lambda and SQS to fetch data from Reddit forums, stream to Kinesis Firehose and store in an S3 data lake.
Exciting AWS project that combines a streamlined pipeline for near real-time updates. The architecture is powered by essential AWS services like IAM, VPC, RDS, DMS, Kinesis, S3, and Redshift