LinkedIn Engineering

OCTOBER 19, 2023

Authors: Bingfeng Xia and Xinyu Liu Background At LinkedIn, Apache Beam plays a pivotal role in stream processing infrastructures that process over 4 trillion events daily through more than 3,000 pipelines across multiple production data centers.

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Process Lambda Architecture Kafka Machine Learning 119

Data Engineering Podcast

MAY 11, 2020

His most recent endeavor at StreamNative is focused on combining the capabilities of Pulsar with the cloud native movement to make it easier to build and scale real time messaging systems with built in event processing capabilities. How have projects such as Kafka and Pulsar impacted the broader software and data landscape?

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Lambda Architecture Cloud Kafka Hadoop 100

Data Engineering Podcast

DECEMBER 31, 2018

How does it compare with systems such as Kafka and Pulsar for ingesting and persisting unbounded data? Does it have any special capabilities for simplifying processing of out-of-order events? How does it compare with systems such as Kafka and Pulsar for ingesting and persisting unbounded data?

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Lambda Architecture Process Data Process Kafka 100

Pinterest Engineering

MAY 2, 2023

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. Handles out-of-order inserts.

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Lambda Architecture Datasets Software Engineer Software Engineering 65

Knowledge Hut

MAY 2, 2024

Spark streaming also has in-built connectors for Apache Kafka which comes very handy while developing Streaming applications. The order management system pushes the order status to the queue(could be Kafka) from where Streaming process reads every minute and picks all the orders with their status.

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Scala Hospitality Healthcare Retail 52

Data Engineering Weekly

MARCH 26, 2023

Contribute to the Rudderstack Transformations Library, Win $1000 RudderStack Transformations lets you customize event data in real time with your own JavaScript or Python code. Now you can win $1,000 cash by contributing a Transformation to our open-source library.

Data Engineering 52

Data Engineering Data Engineer Engineering Lambda Architecture 52

Monte Carlo

MARCH 14, 2023

Also worth noting is lambda architecture-based data ingestion which is a hybrid model that combines features of both streaming and batch data ingestion. These tools use event-based triggers to automate repeatable tasks, which saves time for data orchestrators while reducing human error.

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Data Ingestion Data Warehouse Lambda Architecture Raw Data 52