Data Engineering Podcast

NOVEMBER 20, 2021

What are the prevailing architectural and technological patterns that are being used to manage these systems? Batch and streaming systems have been used in various combinations since the early days of Hadoop. 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

Traditional Data Processing: Batch and Streaming MapReduce, most commonly associated with Apache Hadoop, is a pure batch system that often introduces significant time lag in massaging new data into processed results. This architecture has become popular in the last decade because it addresses the stale-output problem of MapReduce systems.

Lambda Architecture 40

Lambda Architecture Architecture MongoDB Kafka 40

Data Engineering Podcast

MAY 11, 2020

Lambda Architecture Event Sourcing WebAssembly Apache Flink Podcast Episode Pulsar Summit The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA Support Data Engineering Podcast

Cloud 100

Cloud Lambda Architecture Kafka Hadoop 100

Data Engineering Podcast

JUNE 16, 2019

The Lambda architecture was popular in the early days of Hadoop but seems to have fallen out of favor. The Lambda architecture was popular in the early days of Hadoop but seems to have fallen out of favor. How does this unified interface resolve the shortcomings and complexities of that approach?

Data Lake 100

Data Lake Lambda Architecture Data Warehouse Hadoop 100

Rockset

JUNE 14, 2022

Earlier at Yahoo, he was one of the founding engineers of the Hadoop Distributed File System. He was an engineer on the database team at Facebook, where he was the founding engineer of the RocksDB data store. He was also a contributor to the open source Apache HBase project.

Architecture 52

Architecture Lambda Architecture Hadoop Database 52

Towards Data Science

APRIL 30, 2024

Paper’s Introduction At the time of the paper writing, data processing frameworks like MapReduce and its “cousins “ like Hadoop , Pig , Hive , or Spark allow the data consumer to process batch data at scale. On the stream processing side, tools like MillWheel , Spark Streaming , or Storm came to support the user.

Google Cloud 60

Google Cloud Process Cloud Lambda Architecture 60

Rockset

MAY 12, 2022

Lambda Architecture: Too Many Compromises A decade ago, a multitiered database architecture called Lambda began to emerge. Lambda systems try to accommodate the needs of both big data-focused data scientists as well as streaming-focused developers by separating data ingestion into two layers.

Analytics Application 52

Analytics Application Lambda Architecture Hadoop Database 52