Realtime Data Streaming | End To End Data Engineering Project

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In this video, you will be building a real-time data streaming pipeline, covering each phase from data ingestion to processing and finally storage. We'll utilize a powerful stack of tools and technologies, including Apache Airflow, Python, Apache Kafka, Apache Zookeeper, Apache Spark, and Cassandra—all neatly containerized using Docker.

Realtime Streaming with Google Cloud (GCP) | End to End Data Engineering Project

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Build a real-time YouTube Analytics pipeline! Learn to fetch data from YouTube, process it with Kafka and ksqlDB, and get instant Telegram notifications. Dive into advanced Python and Google Cloud configurations.

Realtime Socket Streaming | End to End Data Engineering Project

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Apache Flink for Sales Analytics — End to End Data Engineering

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Discover the power of Apache Flink in Sales Analytics with our comprehensive guide to end-to-end data engineering. Learn to process and analyze big data in real time, transforming raw data into actionable insights.

Realtime Change Data Capture Streaming

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Master real-time data streaming and processing with our comprehensive course on Change Data Capture (CDC) using Postgres, Debezium, Kafka, Apache Spark, and Slack. Transform data management in your organization with cutting-edge technologies.

Realtime Streaming with Apache Flink

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Join us in this detailed tutorial as we build an end-to-end data engineering project using Apache Flink, Kafka, Elasticsearch, and Docker. From system architecture to real-time dashboard results, we cover all aspects of creating a scalable data pipeline for real-time data processing and analytics.