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

Data Engineering Podcast

Links Pravega Amazon SQS (Simple Queue Service) Amazon Simple Workflow Service (SWF) Azure EMC Zookeeper Podcast Episode Bookkeeper Kafka Pulsar Podcast Episode RocksDB Flink Podcast Episode Spark Podcast Episode Heron Lambda Architecture Kappa Architecture Erasure Code Flink Forward Conference CAP Theorem The intro and outro music is from The Hug (..)

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

LinkedIn Engineering

Authors: Bingfeng Xia and Xinyu Liu Background At LinkedIn, Apache Beam plays a pivotal role in stream processing infrastructures that process over 4 trillion events daily through more than 3,000 pipelines across multiple production data centers.

Process 119
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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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Handling Bursty Traffic in Real-Time Analytics Applications

Rockset

Database makers have experimented with different designs to scale for bursts of data traffic without sacrificing speed, features or cost. Lambda Architecture: Too Many Compromises A decade ago, a multitiered database architecture called Lambda began to emerge. Google and other web-scale companies also use ALT.

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Data Engineering Weekly #124

Data Engineering Weekly

[link] Sponsored: [Webinar] How to Scale Data Reliability Learn how Blend, a cloud infrastructure platform powering digital experiences for some of the world’s largest financial institutions, combined cloud-based data transformations and data observability to deliver trustworthy insights faster.

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How to Create Near Real-time Models With Just dbt + SQL

dbt Developer Hub

When your data is small enough, this is the preferred approach, however it isn’t scalable. Because dbt is primarily designed for batch-based data processing, you should not schedule your dbt jobs to run continuously. Lambda views are a simple and readily available solution that is tool agnostic and SQL based.

SQL 52
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Aggregator Leaf Tailer: An Alternative to Lambda Architecture for Real-Time Analytics

Rockset

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.