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

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?

Lambda Architecture 100

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? For someone who wants to build an application on top of Pravega, what interfaces does it provide and what architectural patterns does it lend itself toward? A common challenge for streaming systems is exactly once semantics.

Lambda Architecture 100

Lambda Architecture Process Data Process Kafka 100

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.

Scala 52

Scala Hospitality Healthcare Retail 52

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 65

Lambda Architecture Datasets Software Engineer Software Engineering 65

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). On the technical side, it is cheaper and easier than ever to instrument everything and send that data in real-time through a messaging system. Data Model.

Data Warehouse 91

Data Warehouse Kafka Lambda Architecture Telecommunication 91

ProjectPro

AUGUST 24, 2021

Smart IoT Infrastructure Aviation Data Analysis Shipping and Distribution Demand Forecasting Event Data Analysis Data Ingestion Data Visualization Data Aggregation Let us discuss them in detail. This architecture shows that simulated sensor data is ingested from MQTT to Kafka.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52