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

LinkedIn Engineering

In 2010, they introduced Apache Kafka , a pivotal Big Data ingestion backbone for LinkedIn’s real-time infrastructure. To transition from batch-oriented processing and respond to Kafka events within minutes or seconds, they built an in-house distributed event streaming framework, Apache Samza.

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

Data Engineering Podcast

Links Rockset Podcast Episode Embedded Analytics Confluent Kafka AWS Kinesis Lambda Architecture Data Observability Data Mesh DynamoDB Streams MongoDB Change Streams Bigeye Monte Carlo Data The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA Support Data Engineering Podcast

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StreamNative Brings Streaming Data To The Cloud Native Landscape With Pulsar

Data Engineering Podcast

How have projects such as Kafka and Pulsar impacted the broader software and data landscape? How have projects such as Kafka and Pulsar impacted the broader software and data landscape? What motivates you to dedicate so much of your time and enery to Pulsar in particular, and the streaming data ecosystem in general?

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

Data Engineering Podcast

How does it compare with systems such as Kafka and Pulsar for ingesting and persisting unbounded data? How does it compare with systems such as Kafka and Pulsar for ingesting and persisting unbounded data? Can you start by explaining what Pravega is and the story behind it? How do you represent a stream on-disk?

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Data Engineering Weekly #124

Data Engineering Weekly

Join Live Session 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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Aggregator Leaf Tailer: An Alternative to Lambda Architecture for Real-Time Analytics

Rockset

To mitigate the delays inherent in MapReduce, the Lambda architecture was conceived to supplement batch results from a MapReduce system with a real-time stream of updates. This architecture has become popular in the last decade because it addresses the stale-output problem of MapReduce systems.