Tests with Spark local, kafka streaming and socket streaming
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Updated
Feb 1, 2018 - Java
Tests with Spark local, kafka streaming and socket streaming
Base project for kafka-streams development and testing
Kafka streaming performance tests.
Build a Kafka streaming app using IBM Streams
Kafka integration in Springboot, including producer, consumer, streaming, and interactive query of Ktable.
This project implements an end-to-end pipeline for batch to stream processing using Kafka on Docker images. Besides that, there are exercises for a full course in Kafka.
Using kafka streaming to implement the streaming ETL job, append data onto GCP Big Query after formatting.
The objectives of this project are to get experience of coding with: Spark, Spark SQL, Spark Streaming, Kafka, Scala and functional programming
A pipeline that consumes twitter data to extract meaningful insights about a variety of topics using the following technologies: twitter API, Kafka, MongoDB, and Tableau.
Machine Learning (Streaming) with KAFKA, Debezium and BentoML Service.
Example from Designing Event-driven Applications Using Apache Kafka Ecosystem By Bogdan Sucaciu m 5
A end-to-end real-time stock market data pipeline with Python, AWS EC2, Apache Kafka, and Cassandra Data is processed on AWS EC2 with Apache Kafka and stored in a local Cassandra database.
The purpose of this project is to learn, develop and explore microservices using spring boot, spring cloud, event streaming
Stream real time Tweets of current affairs like covid-19 using Kafka 2.0.0 high throughput producer & consumer into Elasticsearch using safe, idempotent and compression configurations. Aggregate the data and use it for further analytics.
Data streaming project with Apache Druid & Grafana: Real-time data processing, alerts, integration with AWS. It uses a combination of technologies and services, including Confluent-Kafka, Apache Druid, AWS SNS, EC2, Athena, S3, Glue and EventBridge, StepFunctions. Contribute to this powerful solution!
This repository is a comprehensive guide and toolkit for anyone looking to understand and implement data streaming solutions using Apache Kafka.
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