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.

Process 119

Process Lambda Architecture Kafka Machine Learning 119

Monte Carlo

NOVEMBER 21, 2024

Lambda Architecture Pattern 4. Kappa Architecture Pattern 5. This is your go-to pattern when you need to catch things immediately – like detecting fraudulent transactions or monitoring social media sentiment during a big event. Lambda Architecture Pattern Here’s where things get interesting.

Data Pipeline 52

Data Pipeline Designing Lambda Architecture Kafka 52

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?

Cloud 100

Cloud Lambda Architecture 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?

Lambda Architecture 100

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.

Lambda Architecture 80

Lambda Architecture Datasets Software Engineer Software Engineering 80

Cloudera

NOVEMBER 2, 2020

Ingest 100s of TB of network event data per day . real-time customer event data alongside CRM data; network sensor data alongside marketing campaign management data). Several billion ad impression events per day are streamed in and stored. Figure 1 below shows a standard architecture for a Real-Time Data Warehouse.

Data Warehouse 95

Data Warehouse Kafka Lambda Architecture Telecommunication 95

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