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🔄 Data Engineering
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4181
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30+ Data
Engineer
Interview Questions and
Answers
analyticsvidhya.com
·
7h
🔄
Data Pipelines
What is Data Engineering?
databricks.com
·
5d
🔄
Data Pipelines
isledb
: An
embedded
key-value engine built on object storage in Go
reddit.com
·
12h
·
Discuss:
r/golang
📊
Parquet
Weekly
Bookmarks
inkdroid.org
·
18h
⚡
Ruff
AI Search
Ranking
Analysis Software
open.forem.com
·
10h
·
Discuss:
DEV
🔍
Fuzzy Finders
Data Agents:
Levels
, State of the Art, and Open
Problems
arxiv.org
·
3d
🔄
Data Pipelines
Human-like Search for Modern
Applications
anvitra.ai
·
21h
·
Discuss:
Hacker News
🔍
Fuzzy Finders
Structured
outputs
on Amazon Bedrock:
Schema-compliant
AI responses
aws.amazon.com
·
2d
✅
Pydantic
A
practical
guide to information
architecture
(2nd edition)
maadmob.com.au
·
8h
🏗️
Design Patterns
feldera/feldera
: The
Feldera
Incremental
Computation Engine
github.com
·
1d
🐻❄️
Polars
Software Engineering with AI: Beyond
Vibe-Coding
principalengineer.com
·
9h
🏢
Engineering Culture
Performance Tip of the Week #62:
Identifying
and reducing memory
bandwidth
needs
abseil.io
·
1d
🚀
Python Performance
Built an
Legaltech
for Singapore using RAG(
improvements
)
vibe.forem.com
·
2d
·
Discuss:
DEV
🔧
Dagster
Is Your Machine Learning
Pipeline
as Efficient as it Could Be?
kdnuggets.com
·
2d
🚀
Python Performance
creact-labs/creact
:
CReact
is a meta-runtime for building domain-specific,
reactive
execution engines.
github.com
·
19h
·
Discuss:
r/node
,
r/reactjs
✅
Pydantic
How I
squeezed
a
BERT
sentiment analyzer into 1GB RAM on a $5 VPS
mohammedeabdelaziz.github.io
·
1d
·
Discuss:
Hacker News
⚡
Ruff
GAMformer
: Bridging
Tabular
Foundation Models and Interpretable Machine Learning
arxiv.org
·
2d
🏛️
Clickhouse
Pydantic
Performance: 4 Tips on How to Validate Large
Amounts
of Data Efficiently
towardsdatascience.com
·
2d
✅
Pydantic
Actualización
de embeddings en
producción
con LangChain + pgvector
platform.openai.com
·
3d
·
Discuss:
DEV
🐻❄️
Polars
Iceberg
Views in
AIStor
Tables
blog.min.io
·
5d
📊
Parquet
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