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Simplifying Continuous Data Processing Using Stream Native Storage In Pravega with Tom Kaitchuck - Episode 63

Data Engineering Podcast

Join the community in the new Zulip chat workspace at dataengineeringpodcast.com/chat Your host is Tobias Macey and today I’m interviewing Tom Kaitchuck about Pravega, an open source data storage platform optimized for persistent streams Interview Introduction How did you get involved in the area of data management?

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8 Essential Data Pipeline Design Patterns You Should Know

Monte Carlo

In this guide, we’ll explore the patterns that can help you design data pipelines that actually work. Table of Contents Common Data Pipeline Design Patterns Explained 1. Lambda Architecture Pattern 4. Kappa Architecture Pattern 5. Data Mesh Pattern 8. Batch Processing Pattern 2.

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What is Data Ingestion? Types, Frameworks, Tools, Use Cases

Knowledge Hut

The benefit of this system is that data could be analysed in real-time instead of waiting for the extract, load, and transform process to be completed in a batch system. Lambda architecture: A combination of both batch and real-time processing, the lambda architecture has three layers.

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Large-scale User Sequences at Pinterest

Pinterest Engineering

So our user sequence real-time indexing pipeline is composed of a Flink job that reads the relevant events as they come into our Kafka streams, fetches the desired features for each event from our feature services, and stores the enriched events into our KV store system.