Building a Real-Time Data Streaming Pipeline | End to End Project with Kafka Spark and Elasticsearch

Video Description

### Technologies Featured: *#ConfluentKafka #Elasticsearch #MongoDB #ApacheSpark #HuggingFace #DataFlow* ### Overview: In this video, you’ll learn how to construct a *real-time data streaming pipeline* using a dataset of *7 million records* . We’ll harness a robust stack of tools and technologies, including *Apache Spark, MongoDB Atlas, HuggingFace's DistilBERT Text-Classification Model, Confluent Kafka, Elasticsearch, and Kibana.* ### What You'll Learn: - How to set up and configure a Kafka topic for seamless data transmission in Kaggle Notebooks. - Streaming data from Kafka topics using Apache Spark. - Performing real-time sentiment analysis with HuggingFace models. - Establishing Kafka for efficient real-time data ingestion and distribution. - Utilizing Elasticsearch for enhanced data indexing and search capabilities. ### Resources: - *GitHub Repository:* https://github.com/akarce/real-time-data-pipeline-kafka-mongo-elasticsearch-pyspark - *Yelp Dataset:* https://www.kaggle.com/datasets/yelp-dataset/yelp-dataset - *LinkedIn:* https://www.linkedin.com/in/akarce/ - *Medium:* https://medium.com/@akarce - *GitHub:* https://github.com/akarce - *Twitter:* https://x.com/akarcey ### Join the Community: If you enjoyed this content, please *LIKE* and *SUBSCRIBE* for more tutorials and insights! ### Tags: Data Engineering, Kafka, Apache Spark, ETL Pipeline, Data Pipeline, Big Data, Streaming Data, Real-Time Analytics, Kafka Connectors, Schema Registry, Control Center, Machine Learning Integration, Data Visualization, Stream Processing. ### Hashtags: #Confluent #DataEngineering #Kafka #ApacheSpark #ETLPipeline #DataPipeline #DataStreaming #HuggingFace #Elasticsearch #RealTimeData #BigData #TechTutorial #StreamingAnalytics #MachineLearning #DataFlow #SparkStreaming #DataScience #AIIntegration #RealTimeAnalytics #StreamingData #RealTimeStreaming