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

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

Monte Carlo

MARCH 14, 2023

Some data teams will leverage micro-batch strategies for time sensitive use cases. These involve data pipelines that will ingest data every few hours or even minutes. Also worth noting is lambda architecture-based data ingestion which is a hybrid model that combines features of both streaming and batch data ingestion.

Data Ingestion 52

Data Ingestion Data Warehouse Lambda Architecture Raw Data 52

ProjectPro

AUGUST 24, 2021

Within no time, most of them are either data scientists already or have set a clear goal to become one. Nevertheless, that is not the only job in the data world. And, out of these professions, this blog will discuss the data engineering job role. This architecture shows that simulated sensor data is ingested from MQTT to Kafka.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52