🔀 ETL Patterns

Data Engineering, Extract Transform Load, Data Pipelines, Batch Processing

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Scoured 4193 posts in 197.5 ms
What is Data Engineering?
databricks.com·4d
🔄Data Engineering
Structured outputs on Amazon Bedrock: Schema-compliant AI responses
aws.amazon.com·1d
✅Pydantic
The ‘Super Bowl’ standard: Architecting distributed systems for massive concurrency
infoworld.com·3d
📡Event-Driven Architecture
feldera/feldera: The Feldera Incremental Computation Engine
github.com·1d
🐻‍❄️Polars
What I Am Doing to Stay Relevant as a Senior Analytics Consultant in 2026
towardsdatascience.com·22h
✅Data Quality
How Silverflow simplified its data platform and cut end-to-end latency by 95% with ClickHouse Cloud
clickhouse.com·3d
🔄Data Pipelines
isledb: An embedded key-value engine built on object storage in Go
reddit.com·2h·
Discuss: r/golang
📊Parquet
SAP and Salesforce Data Integration for Supplier Analytics on Databricks
databricks.com·1d
🔄Data Pipelines
Large Data Acquisition and Analytics at Synchrotron Radiation Facilities
arxiv.org·2d
🔄Data Pipelines
creact-labs/creact: CReact is a meta-runtime for building domain-specific, reactive execution engines.
github.com·8h·
Discuss: r/node, r/reactjs
✅Pydantic
Performance Tip of the Week #62: Identifying and reducing memory bandwidth needs
abseil.io·15h
🚀Python Performance
How I squeezed a BERT sentiment analyzer into 1GB RAM on a $5 VPS
mohammedeabdelaziz.github.io·22h·
Discuss: Hacker News
⚡Ruff
Doc2Spec: Synthesizing Formal Programming Specifications from Natural Language via Grammar Induction
arxiv.org·2d
🎀Decorators
Is Your Machine Learning Pipeline as Efficient as it Could Be?
kdnuggets.com·2d
🚀Python Performance
Building a scalable code modernization solution with AWS Transform custom
aws.amazon.com·1d
🔄Data Pipelines
Taming the Regex Monster: Optimizing Massive Literal Alternations
modern-c.blogspot.com·2d·
Discuss: r/golang
⚙️Generators
Building Highly Efficient Inference System for Recommenders Using PyTorch
pytorch.org·2d·
Discuss: Hacker News
🐻‍❄️Polars
Postgres performance at any scale
pganalyze.com·2d
🚀SQL Optimization
Iceberg Views in AIStor Tables
blog.min.io·4d
📊Parquet
Built an Legaltech for Singapore using RAG(improvements)
vibe.forem.com·2d·
Discuss: DEV
🔄Data Engineering

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