article thumbnail

Aggregator Leaf Tailer: An Alternative to Lambda Architecture for Real-Time Analytics

Rockset

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.

article thumbnail

Rockset Architecture Whiteboard Session With CTO Dhruba Borthakur

Rockset

In this 30 minute video overview, CTO and Rockset Co-founder Dhruba Borthakur discusses Rockset's ALT architecture , how data is ingested, stored and queried in Rockset, and why Rockset is simple to use, incredibly fast, and capable of the highly efficient execution of complex distributed queries across diverse data sets.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Data Pipeline Architecture: Understanding What Works Best for You

Ascend.io

Without a well-planned architecture, these pipelines can quickly become unmanageable, often reaching a point where efficiency and transparency take a backseat, leading to operational chaos. Let’s dive into the world of data pipeline architecture. What Is Data Pipeline Architecture? That’s where we step in.

article thumbnail

Exploring Processing Patterns For Streaming Data Integration In Your Data Lake

Data Engineering Podcast

What are the prevailing architectural and technological patterns that are being used to manage these systems? The Lambda architecture has largely been abandoned, so what is the answer for today’s data lakes? What are the most interesting, innovative, or unexpected ways that you have seen streaming architectures used?

Data Lake 100
article thumbnail

An Exploration Of The Expectations, Ecosystem, and Realities Of Real-Time Data Applications

Data Engineering Podcast

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

article thumbnail

The Stream Processing Model Behind Google Cloud Dataflow

Towards Data Science

Here is an illustration to provide you with a similar idea between the trigger and the semantics in Lambda Architecture Image created by the author. It is also the mode used in Lambda Architecture systems, where the streaming pipeline outputs low-latency results, which are then overwritten later by the results from the batch pipeline.

article thumbnail

Writing The Book That Offers A Single Reference For The Fundamentals Of Data Engineering

Data Engineering Podcast

Links Fundamentals of Data Engineering (affiliate link) Ternary Data Designing Data Intensive Applications James Webb Space Telescope Google Colossus Storage System DMBoK == Data Management Body of Knowledge DAMA Bill Inmon Apache Druid RTFM == Read The Fine Manual DuckDB Podcast Episode VisiCalc Ternary Data Newsletter Meroxa Podcast Episode Ruby (..)