Data Engineering Weekly

FEBRUARY 18, 2025

Fluss is a compelling new project in the realm of real-time data processing. It addresses many of Kafka's challenges in analytical infrastructure. The combination of Kafka and Flink is not a perfect fit for real-time analytics; the integration of Kafka and Lakehouse is very shallow.

Kafka 74

Kafka Lambda Architecture SQL Architecture 74

Monte Carlo

NOVEMBER 21, 2024

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. Batch Processing Pattern 2. Stream Processing Pattern 3. Lambda Architecture Pattern 4. Kappa Architecture Pattern 5.

Data Pipeline 52

Data Pipeline Designing Lambda Architecture Kafka 52

Data Engineering Podcast

DECEMBER 31, 2018

What are the use cases for Pravega and how does it fit into the data ecosystem? How does it compare with systems such as Kafka and Pulsar for ingesting and persisting unbounded data? One of the compelling aspects of Pravega is the automatic sharding and resource allocation for variations in data patterns.

Lambda Architecture 100

Lambda Architecture Process Data Process Kafka 100

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

Rockset

FEBRUARY 6, 2019

Aggregator Leaf Tailer (ALT) is the data architecture favored by web-scale companies, like Facebook, LinkedIn, and Google, for its efficiency and scalability. In this blog post, I will describe the Aggregator Leaf Tailer architecture and its advantages for low-latency data processing and analytics.

Lambda Architecture 40

Lambda Architecture Architecture MongoDB Kafka 40

LinkedIn Engineering

MARCH 23, 2023

Co-Authors: Yuhong Cheng , Shangjin Zhang , Xinyu Liu, and Yi Pan Efficient data processing is crucial in reducing learning curves, simplifying maintenance efforts, and decreasing operational complexity. In streaming processing, input data is always from unbounded data sources, like Kafka.

Process 97

Process Lambda Architecture Kafka Datasets 97

Cloudera

NOVEMBER 2, 2020

An AdTech company in the US provides processing, payment, and analytics services for digital advertisers. Data processing and analytics drive their entire business. Data streamed in is queryable immediately, in an optimal manner. Data Model. Conventional enterprise data types. Data Hub – .

Data Warehouse 97

Data Warehouse Kafka Lambda Architecture Telecommunication 97