#data-quality articles

Bad data costs real money. Here is the HubSpot to Supabase workflow that fixed it.

Clean HubSpot contacts, deduplicate, and load only the good rows into Supabase, with a 6-minute build video

How to Read Parquet, Avro and Feather Files in the Browser with TypeScript: A 5-Stage Pipeline Walkthrough

Explore a 5-stage TypeScript pipeline to parse Parquet, Avro, and Feather files in the browser using Web Workers, Thrift footers, Snappy/LZ4, and BigInt.

7 min readkivarotools.hashnode.dev

Mikhail EshchenkoNov 1

Make a 90-Day Creator Activity Filter Reproducible

Separate publication time, capture time, and evaluation time so historical creator activity filters can be reproduced without pretending stale observations are current.

5 min readmaeshchenko.hashnode.dev

bingkun zhaoOct 24

A Small Data QA Pipeline for 156 Game Walkthrough Pages

A practical content model for checking game identity, level numbers, source videos, duplicates, and mismatched walkthrough pages.

3 min readgame-guide-lab.hashnode.dev

Robin SishodiaOct 23

Salesforce Duplicate & Matching Rules Cheat Sheet: Block, Alert, Merge and Admin Interview Q&A (Day 18/30)

Stop messy duplicates before they land, and clean up the ones already in your data. Duplicate and matching rules are core data quality topics in any admin interview. The 4 Building Blocks Block Wh

2 min readsishodiarobin.hashnode.dev

OsitrusteesOct 23

Ositrustees Engineering Notes: Designing a Reproducible Market Data Research Record

Explore how Ositrustees approaches reproducible market-data research through JSON records, source provenance, metadata and verification.

9 min readositrustees.hashnode.dev

ReavidOct 21

Which rows of a converted bank statement can you trust?

Why I label every extracted row instead of promising an accurate spreadsheet

5 min readstatementxl.hashnode.dev

Rohan MehtaOct 13

6 Ways to Make a Field Required in Salesforce (and When to Use Each)

Ask any Salesforce admin what ruins reports fastest, and the answer is almost always the same: incomplete data. Blank fields creep into records, dashboards skew, and automation fires on missing values

4 min readway2force.hashnode.dev

Anakin TechOct 13

Scraped Data Quality Is a Runtime Contract, Not a Cleanup Task

Web scraping data quality improves when teams validate fields at ingestion, quarantine suspicious records, and monitor schema drift as runtime failures.

8 min readanakinwriters.hashnode.dev

1

JorgeOct 10

Fabric's Silver Layer: Making Your Data Reliable

Clean Data Is Not Enough

4 min readbuildingagain.hashnode.dev

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