Learn how to build an end-to-end streaming architecture to ingest, analyze, and visualize streaming data in near real-time
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Updated
Sep 19, 2020 - CSS
Learn how to build an end-to-end streaming architecture to ingest, analyze, and visualize streaming data in near real-time
Stream processing
Developing a cost model and modifying the Apache Flink scheduler to efficiently offload tasks to edge systems, ultimately improving latency problems over the WAN.
This repository provides a sandbox environment for experimenting with Apache Flink and Apache Kafka. It includes Docker configurations for setting up Kafka and Flink clusters, along with Java code samples for Kafka administration, data producing, and Flink job execution.
Building the direct follower relation with Apache Flink streaming API
Arquitectura pipeline para streaming de tiempo real
Automated deployment of an Apache Flink cluster in your Grid'5000 reserved nodes.
This repository contains my coursework projects for the Big Data course in my Master's degree program.
we are thrilled to announce our new PoC project aimed at providing a complete real-time extraction, transformation, and exposure architecture for the new provincial transportation systems.
TweetPipe Apache Flink AWS Kinesis Consumer. A Flink-based consumer that reads from an AWS Kinesis source and maps the input stream elements to a domain model. Future iterations will output the transformed data to a sink.
This code helps making a real time alert platform for IoT etc.
This project provides Apache Spark SQL, Flink DataStream API examples in Scala language
Flink: KMeans Clustering Paralellism
This repository contains my coursework projects for the Big Data course in my Master's degree program.
Ecommerce Sales Analytics Data Generation, developed a detailed system architecture using Apache Flink, Kafka, Elasticsearch, and Docker. Implemented real-time data streaming, established a robust, scalable data pipeline. Flink was set up, transactions were aggregated in Postgres and Elasticsearch, concluding with a dynamic streaming dashboard.
Flink running on IBM Analytics Engine - Message Hub to COS S3
This is a basic example to show CEP in flink with kafka
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