This article discusses the process of building a real-time streaming data pipeline using technologies like Apache Kafka, Apache Airflow, Azure Blob Storage, Snowflake, DBT, Elasticsearch, Logstash, and Kibana. The pipeline aims to find a solution to the 'Taxi Dilemma' by analyzing fake taxi app data and predicting cancellations to mitigate costs for drivers.
- #machine-learning#docker#elk#data-engineering#data-visualization#apache-kafka#snowflake#apache-airflow#real-time-analytics
Table of contents
Building a Real-Time Streaming Data Pipeline: A Journey through Apache Kafka, Airflow, Blob Storage, DBT, Snowflake, ElasticSearch, Logstash and KibanaTech StackIntroductionThe Taxi DilemmaSort: