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

Towards Data Science

APRIL 30, 2024

This blog post is my note after reading the paper: The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing. In the rest of this blog, we will see how Google enables this contribution. Triggering at completion estimates such as watermarks.

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Google Cloud Process Cloud Lambda Architecture 92

LinkedIn Engineering

MARCH 23, 2023

In the past, we often used lambda architecture for processing jobs, meaning that our developers used two different systems for batch and stream processing. In this blog post, we will share our progress, challenges, and lessons learned from implementing Apache Beam.

Process 97

Process Lambda Architecture Kafka Architecture 97

LinkedIn Engineering

OCTOBER 19, 2023

This framework, along with Apache Spark for batch processing, formed the basis of LinkedIn’s lambda architecture for data processing jobs. The lambda architecture approach led to operational complexity and inefficiencies, because it required maintaining two different codebases and two different engines for batch and streaming data.

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Process Lambda Architecture Kafka Machine Learning 119

Pinterest Engineering

MAY 2, 2023

For future work, we are looking into both more efficient and scalable data storage solutions, such as event compression or online-offline lambda architecture, as well as more scalable online model inference capability integrated into the streaming platform. To explore life at Pinterest, visit our Careers page.

Lambda Architecture 90

Lambda Architecture Datasets Software Engineering Software Engineer 90

Cloudera

NOVEMBER 2, 2020

Data streamed in is queryable in conjunction with historical data, avoiding need for Lambda Architecture. Figure 1 below shows a standard architecture for a Real-Time Data Warehouse. In addition, we have a webinar and blog explaining how you can use Apache Kudu and Apache Impala to create a time series application within CDP.

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Data Warehouse Kafka Lambda Architecture Telecommunication 97

Rockset

JUNE 14, 2022

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Architecture Lambda Architecture Hadoop Database 52