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Rockset Architecture Whiteboard Session With CTO Dhruba Borthakur

Rockset

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.

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An Exploration Of The Expectations, Ecosystem, and Realities Of Real-Time Data Applications

Data Engineering Podcast

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

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Data News — Week 23.12

Christophe Blefari

LinkedIn team decided to migrate to a lambda architecture and got 94% uplift in performance. How LinkedIn reduced processing time with Apache Beam — Beam is a distributed processing framework that proposes a unified execution engine for batch and real-time. How fast is DuckDB really?

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Revolutionizing Real-Time Streaming Processing: 4 Trillion Events Daily at LinkedIn

LinkedIn Engineering

This framework, along with Apache Spark for batch processing, formed the basis of LinkedIn’s lambda architecture for data processing jobs. The lambda architecture approach led to operational complexity and inefficiencies, because it required maintaining two different codebases and two different engines for batch and streaming data.

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DEW #124: State of Analytics Engineering, ChatGPT, LLM & the Future of Data Consulting, Unified Streaming & Batch Pipeline, and Kafka Schema Management

Data Engineering Weekly

🤺🤺🤺🤺🤺🤺 [link] LinkedIn: Unified Streaming And Batch Pipelines At LinkedIn: Reducing Processing time by 94% with Apache Beam One of the curses of adopting Lambda Architecture is the need for rewriting business logic in both streaming and batch pipelines.

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Simplifying Continuous Data Processing Using Stream Native Storage In Pravega with Tom Kaitchuck - Episode 63

Data Engineering Podcast

For someone who wants to build an application on top of Pravega, what interfaces does it provide and what architectural patterns does it lend itself toward? For someone who wants to build an application on top of Pravega, what interfaces does it provide and what architectural patterns does it lend itself toward?

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Handling Bursty Traffic in Real-Time Analytics Applications

Rockset

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.