Data Engineering Podcast

NOVEMBER 20, 2021

Summary One of the perennial challenges posed by data lakes is how to keep them up to date as new data is collected. In this episode Ori Rafael shares his experiences from Upsolver and building scalable stream processing for integrating and analyzing data, and what the tradeoffs are when coming from a batch oriented mindset.

Data Lake 100

Data Lake Data Integration Lambda Architecture Process 100

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

Data Engineering Weekly

FEBRUARY 18, 2025

Fluss is a compelling new project in the realm of real-time data processing. The fourth difference is the Lakehouse Architecture. Fluss embraces the Lakehouse Architecture. So you only need to store one copy of data for your streaming and Lakehouse. What is the future roadmap for Fluss?

Kafka 74

Kafka Lambda Architecture SQL Architecture 74

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

Monte Carlo

MARCH 14, 2023

Data from these sources are often ingested into a cloud-based data warehouse or data lake , where they can then be mined for information and insights. Source : Fundamentals of Data Engineering by Joe Reis and Matt Housley. Some data teams will leverage micro-batch strategies for time sensitive use cases.

Data Ingestion 52

Data Ingestion Data Warehouse Lambda Architecture Raw Data 52

ProjectPro

AUGUST 24, 2021

to accumulate data over a given period for better analysis. There are many more aspects to it and one can learn them better if they work on a sample data aggregation project. Project Idea: Explore what is real-time data processing, the architecture of a big data project, and data flow by working on a sample of big data.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52