Data Engineering Podcast

NOVEMBER 20, 2021

Atlan is a collaborative workspace for data-driven teams, like Github for engineering or Figma for design teams. 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?

Data Lake 100

Data Lake Data Integration Lambda Architecture Process 100

Rockset

FEBRUARY 6, 2019

In this blog post, I will describe the Aggregator Leaf Tailer architecture and its advantages for low-latency data processing and analytics. To mitigate the delays inherent in MapReduce, the Lambda architecture was conceived to supplement batch results from a MapReduce system with a real-time stream of updates.

Lambda Architecture 40

Lambda Architecture Architecture MongoDB Kafka 40

dbt Developer Hub

JUNE 30, 2020

When your data is small enough, this is the preferred approach, however it isn’t scalable. Because dbt is primarily designed for batch-based data processing, you should not schedule your dbt jobs to run continuously. Lambda views are a simple and readily available solution that is tool agnostic and SQL based.

SQL 52

SQL Lambda Architecture Raw Data Architecture 52

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. General Purpose RTDW.

Data Warehouse 102

Data Warehouse Kafka Lambda Architecture Telecommunication 102

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

Rockset

MAY 12, 2022

However, these databases tend to sacrifice support for complex SQL queries at any scale. Instead, these database makers have offloaded complex analytics onto application code and their developers, who have neither the skills nor the time to constantly update queries as data sets evolve.

Analytics Application 52

Analytics Application Lambda Architecture Hadoop Database 52

Ascend.io

JULY 28, 2023

Now, you might ask, “How is this different from data stack architecture, or data architecture?” ” Data Stack Architecture : Your data stack architecture defines the technology and tools used to handle data, like databases, data processing platforms, analytic tools, and programming languages.

Data Pipeline 52

Data Pipeline Architecture Lambda Architecture Data Architecture 52