Menu

#Data

522 posts

Feed·
20 of 522 posts
TimescaleDB Compression: Hypercore and Columnar Storage with up to 98% Ratio in PostgreSQL
📰
171Read More

TimescaleDB Compression: Hypercore and Columnar Storage with up to 98% Ratio in PostgreSQL

Hacker News·4 months ago
#kKvMjbF4
#roszigit#data#time#compression#delta

TimescaleDB compression with hypercore - columnar storage with up to 98% ratio in PostgreSQL. segmentby/orderby configuration and a benchmark for IoT and time-series.

15s
Global Unemployment in the Age of AI: Automation Is Splitting Labor Markets in Two
🖼️
0Read More

Global Unemployment in the Age of AI: Automation Is Splitting Labor Markets in Two

DEV Community·viacheslav·5 months ago
#z22HAjlX
#where#economics#data#ai#unemployment

AI is not replacing all jobs yet, but it is already polarizing labor markets. See which countries and sectors face the sharpest unemployment risks in 2026.

15s
Data Lake vs Data Warehouse vs Lakehouse
🖼️
0Read More

Data Lake vs Data Warehouse vs Lakehouse

DEV Community·丁久·5 months ago
#FpB61w7O
#data#database#sql#software#warehouse

Compare data lake, data warehouse, and lakehouse architectures with Delta Lake, Iceberg, Hudi, and the medallion architecture.

15s
Resource for anyone building tools for systematic literature reviews/automating paper monitoring:
ScholarAPI provides access to 30M+ open-access papers, metadata, full-text, & PDFs via REST API. Useful if you're building research tools. scholarapi.net
🖼️
0Read More

Resource for anyone building tools for systematic literature reviews/automating paper monitoring: ScholarAPI provides access to 30M+ open-access papers, metadata, full-text, & PDFs via REST API. Useful if you're building research tools. scholarapi.net

DEV Community·Reel Crave·6 months ago
#iCoYQsvY
#api#automation#data#science#comments

From Dev RSS Feed: Resource for anyone building tools for systematic literature reviews/automating paper monitoring: ScholarAPI provides access to 30M+ open-access papers, metadata, full-text, & PDFs via REST API. Useful if you're building research tools.…

15s
What I learned scraping JSON-LD Schema & Meta Tag Extractor: schema, gotchas and the tooling that worked
🖼️
0Read More

What I learned scraping JSON-LD Schema & Meta Tag Extractor: schema, gotchas and the tooling that worked

DEV Community·Can Yılmaz·6 months ago
#nGr9fbLB
#webscraping#apify#data#spinach#feta

From Dev.to - tutorial: What I learned scraping JSON-LD Schema & Meta Tag Extractor: schema, gotchas and the tooling that worked

15s
What I learned scraping Bulk URL Status Checker: schema, gotchas and the tooling that worked
🖼️
0Read More

What I learned scraping Bulk URL Status Checker: schema, gotchas and the tooling that worked

DEV Community·Can Yılmaz·6 months ago
#vxjSJBqq
#webscraping#apify#data#status#time

From Dev.to - tutorial: What I learned scraping Bulk URL Status Checker: schema, gotchas and the tooling that worked

15s
Data Masking and Redaction
🖼️
0Read More

Data Masking and Redaction

DEV Community·丁久·6 months ago
#oMdaMkrD
#data#security#devops#cloud#masking

Guide to data masking and redaction covering dynamic masking, static masking, tokenization, and compliance with GDPR and data privacy regulations.

15s
Python PDF Generator: Create Professional Reports from Data in 10 Lines
🖼️
0Read More

Python PDF Generator: Create Professional Reports from Data in 10 Lines

DEV Community·Brad·6 months ago
#AkASw6WA
#python#pdf#automation#data#append

From Dev.to - python: Python PDF Generator: Create Professional Reports from Data in 10 Lines

15s