Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning
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Updated
Aug 16, 2021 - Java
Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning
How to implement a streaming at scale solution in Azure
Apache Spark Connector for Azure Cosmos DB
Basic logging mechanism for Node.js Lambda Functions and other AWS services, which produces logs in JSON format for easier reading through Cloudwatch Logs.
A full big data pipeline (Lambda Architecture) with Spark, Kafka, HDFS and Cassandra.
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This project aims to predict smartphone prices using a combination of batch and stream processing techniques in a Big Data environment. The architecture follows the Lambda Architecture pattern, providing both real-time and batch processing capabilities to users.
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Apache Spark Connector for Azure Cosmos DB
From Fast to Smart Data - Lambda Architecture with Apache Spark, Kafka and Cassandra
A curated list of resources to navigate data engineering
A project which includes simulation of real time queries by kafka and performing stream and batch processing of the simulated queries by spark. Also, this follows lambda architecture, in which kafka is publisher and spark helps in subscribing
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