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. What are lambda views? ​ The idea of lambda views comes from lambda architecture.

SQL 52

SQL Lambda Architecture Raw Data Architecture 52

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

Data Engineering Podcast

NOVEMBER 20, 2021

With the improvements in streaming engines it is now possible to perform all of your data integration in near real time, but it can be challenging to understand the proper processing patterns to make that performant. Can you start by giving an overview of the state of the market for data lakes today?

Data Lake 100

Data Lake Data Integration Lambda Architecture Process 100

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. By unifying these pipelines, we have saved 94% of processing time. Samza , Spark and Apache Flink ).

Process 97

Process Lambda Architecture Kafka Datasets 97

Ascend.io

JULY 28, 2023

” 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. Your data pipeline architecture is the blueprint for how data is processed to unlock this value.

Data Pipeline 52

Data Pipeline Architecture Lambda Architecture Data Architecture 52

Monte Carlo

MARCH 14, 2023

Data ingestion is the process of collecting data from various sources and moving it to your data warehouse or lake for processing and analysis. It is the first step in modern data management workflows. Data ingestion is the process of acquiring and importing data for use, either immediately or in the future.

Data Ingestion 52

Data Ingestion Data Warehouse Lambda Architecture Raw Data 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. It is a type of data warehouse modernization that lets you have “small data” semantics and performance at “big data” scale. Data Model.

Data Warehouse 94

Data Warehouse Kafka Lambda Architecture Telecommunication 94

ProjectPro

AUGUST 24, 2021

This is an end-to-end big data project for building a data engineering pipeline involving data extraction, data cleansing, data transformation, exploratory analysis , data visualization, data modeling, and data flow orchestration of event data on the cloud.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Data Engineering Weekly

JULY 9, 2023

[link] Alibaba: The Thinking and Design of a Quasi-Real-Time Data Warehouse with Stream and Batch Integration Time interval data processing is the foundation of data engineering; regardless it’s batch or real-time. Each architectural pattern has its limitation.

Data Engineering 52

Data Engineering Data Engineer Engineering Lambda Architecture 52