Rockset

JUNE 14, 2022

In this 30 minute video overview, CTO and Rockset Co-founder Dhruba Borthakur discusses Rockset's ALT architecture , how data is ingested, stored and queried in Rockset, and why Rockset is simple to use, incredibly fast, and capable of the highly efficient execution of complex distributed queries across diverse data sets.

Architecture 52

Architecture Lambda Architecture Hadoop Database 52

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

Lambda Architecture 100

Lambda Architecture Cloud Kafka Hadoop 100

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 Electronics 52

Knowledge Hut

MAY 2, 2024

Features of Spark Speed : According to Apache, Spark can run applications on Hadoop cluster up to 100 times faster in memory and up to 10 times faster on disk. Apache Spark at Yahoo: Yahoo is known to have one of the biggest Hadoop Cluster and everyone is aware of Yahoo’s contribution to the development of Big Data system.

Scala 52

Scala Hospitality Healthcare Retail 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

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

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 63

Google Cloud Process Cloud Lambda Architecture 63