"03/15/2026" and "2026-03-15" are different strings to a computer. Mixed date formats break sorts and filters.

Pick ISO 8601 (YYYY-MM-DD). Apply everywhere.

#DataStandardization #DataOps

The DataOps Way to Data Quality: A Free Book for Every Data Team | DataKitchen Most data quality advice tells you what to measure. This book tells you why your team keeps failing and what to actually do about it.

The DataOps Way to Data Quality: A Free Book for Every Data Team
Most data quality advice tells you what to measure. This book explains why your team keeps failing and what to do about it.
datakitchen.io/the-dataops-...
#databs #dataquality #dataops #free #opensource

We Got Roasted On Reddit For Asking ‘Why Data Engineers Don’t Test?’ | DataKitchen We asked the r/dataengineering community 'Why don't you test?' And we got roasted. Learn why

We asked the Reddit's r/dataengineering community 'Why don't you test?' And we got roasted. Learn why
datakitchen.io/we-got-roast...
#databs #dataquality #dataops

One phone number, four formats:
(555) 123-4567
555.123.4567
5551234567
+15551234567

Your dedup sees four people. It's one.

Standardize to international format before import.

#DataOps #DataStandardization

When complexity slows decisions, it’s often a data problem.

Our latest blog l1nq.com/RceWk explores why organizations are adopting DataOps to strengthen data pipelines, improve quality, and embed governance in an AI-driven world.

#DataOps #DataQuality #DataGovernance

Building a Data Quality Culture Without Becoming the Data Police You can't guilt people into better data entry. Learn how to build a data quality culture through visibility, smart incentives, and automation.

"We need to be more careful about data entry."

Three months later, same duplicates, same broken formats, same frustrated ops team.

Wrote about why guilt doesn't fix data problems and what actually does 👇

#DataOps #CRM #SalesOps

Security Flaws in Anthropic’s Claude Code Risk Stolen Data, System Takeover Three critical vulnerabilities found in Anthropic’s Claude Code agentic AI developer tool could be exploited simply b...

#AI #Blogs #Business #of #DevOps #DataOps #DevSecOps #Features […]

[Original post on devops.com]

Join us at Gartner Data & Analytics Summit 2026 March 9-11 to see how the O’Reilly learning platform keeps teams ahead of AI advancements—before they’re old news. Stop by our booth #107 to learn more. See you in Orlando! #GartnerDA #DataOps #AnalyticsLeaders #AI #EnterpriseLearning #TechEnablement

Hitachi Vantara Pentaho data integration and analytics at Hitachi Vantara is an open-sourced based, enterprise-class platform for big data deployments.

The latest update for #HitachiVantara includes "Beyond RAID and Mirroring: A Next-Generation Approach to Data Resilience" and "How to Avoid the Hidden Costs of Slow IT Infrastructure Deployments".

#Analytics #BI #DataOps https://opsmtrs.com/3hILwTO

BI et IA agentique : ThoughtSpot renforce son Analyst Studio | LeMagIT ThoughtSpot veut s’étendre au-delà de la BI en proposant une « plateforme d’analytique agentique ». En ce sens, il annonce un agent de préparation des données. Les analystes retiennent avant tout les ...

ThoughtSpot (🇺🇸) lance Analyst Studio et SpotCache: préparation de données assistée par IA, cache pour dashboards et agents analytiques. Prêts à maîtriser coûts & gouvernance? 🤖📊 #DataOps https://bit.ly/46YdJzy

Try (Un)Perplexed Spready in Your Browser Try (Un)Perplexed Spready online: a pre-configured AI-powered spreadsheet in your browser with a free 4-hour sandbox, demo workbooks, and ready-to-use LLM, web search and taxonomy tools.

If you have recurring “please clean this export” tasks, turn them into repeatable workbooks with prompts and AI formulas inside (Un)Perplexed Spready.
matasoft.hr/qtrendcontro...
#ProcessImprovement #DataOps #AISpreadsheet #AI #LLM

Hitachi Vantara Pentaho data integration and analytics at Hitachi Vantara is an open-sourced based, enterprise-class platform for big data deployments.

The latest update for #HitachiVantara includes "How to Avoid the Hidden Costs of Slow IT Infrastructure Deployments" and "A Memory-centric Approach to System Strategy: 6 Takeaways from Supercomputing 2025".

#Analytics #BI #DataOps https://opsmtrs.com/3hILwTO

From Spreadsheet to Single Source of Truth: A No‑Code Workflow Turn scattered spreadsheets into one clean, unified dataset without code. A practical workflow for data cleaning, preview controls, audit trails, and governance.

"Single source of truth" sounds like a data warehouse project.

It's not. It's just: one place where every question about your customers has one answer.

You can get there with CSVs and a cleaning pass. No code, no engineer, no six-week project.

#RevOps #DataOps #MarketingOps

The CRM Migration Checklist: Cleaning Data Before the Move Moving CRMs? The data you bring determines whether the new system works. Here's what to clean before you migrate.

Real talk: that "we have 47,000 contacts" number in your CRM? Probably closer to 32,000 actual humans after you dedupe.

And you're paying per contact.

Before you migrate, find out what you're actually moving.

#CRMMigration #MarTech #DataOps

Try (Un)Perplexed Spready in Your Browser Try (Un)Perplexed Spready online: a pre-configured AI-powered spreadsheet in your browser with a free 4-hour sandbox, demo workbooks, and ready-to-use LLM, web search and taxonomy tools.

For marketplaces and aggregators, (Un)Perplexed Spready is a workbench where product data and AI meet: sheets in, prompts in formulas, clean catalog out.
matasoft.hr/qtrendcontro...
#Marketplace #DataOps #AISpreadsheet #AI #LLM

Try (Un)Perplexed Spready in Your Browser Try (Un)Perplexed Spready online: a pre-configured AI-powered spreadsheet in your browser with a free 4-hour sandbox, demo workbooks, and ready-to-use LLM, web search and taxonomy tools.

(Un)Perplexed Spready is for catalog teams who think in rows and columns but need AI help to interpret product descriptions and categories at scale.
matasoft.hr/qtrendcontro...
#RetailTech #DataOps #AISpreadsheet #AI #LLM

ServiceNow quietly buys Pyramid Analytics to stitch richer semantics into its stack. For RevOps that means smarter dashboards, less manual wrangling and more context for AI-assisted insights. Source: The Register. #RevOps #DataOps

ServiceNow snaps up Pyramid Analytics to bake semantics and stronger analytics into workflows. For RevOps that promises fewer manual reports, cleaner forecasting and faster insights, but watch the lock-in. Source: The Register. #RevOps #DataOps

Try (Un)Perplexed Spready in Your Browser Try (Un)Perplexed Spready online: a pre-configured AI-powered spreadsheet in your browser with a free 4-hour sandbox, demo workbooks, and ready-to-use LLM, web search and taxonomy tools.

(Un)Perplexed Spready makes prompt engineering a spreadsheet skill. Prompts live in cells, referenced by formulas, versioned with the workbook.
matasoft.hr/qtrendcontro...
#PromptEngineering #AISpreadsheet #NoCode #WebSearch #LLM #DataOps #AIServices #Spreadsheets #SpreadsheetAI

From “spreadsheet manual data entry + manual Googling” to “spreadsheet + AI formulas + web search tools”: (Un)Perplexed Spready shows what practical AI in spreadsheets looks like.
matasoft.hr/qtrendcontro...
#WebSearch #LLM #DataOps #Spreadsheets #AISpreadsheet #SpreadsheetAI #Ollama #LLM #AI

Data Deduplication: A Framework for Before, During, and After Deduplication isn't a one-time event. Here's how to handle duplicates at every stage—from prevention to detection to merge.

Fun fact from our early testing: roughly a third of duplicates were exact matches that should never have been allowed into the database in the first place.

The best deduplication strategy starts before the merge, not during it.

#DataOps #SalesOps #MarTech

Data Quality Testing Is At The Core of Four Critical Data Team Processes | DataKitchen What Is The Common Thread Running Through Four Critical Data Team Processes? Data Testing!

Your team is doing the four activities? What is at the core of making them better?
datakitchen.io/data-quality...
#databs #dataops

Build TikTok's Personalized Real-Time Recommendation System from Scratch:

Video: www.youtube.com/watch?v=skZ1...

#ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps #augmentedintelligence #deeplearning #privacy #kubernetes #datascience #python #bigdata

Try (Un)Perplexed Spready in Your Browser Try (Un)Perplexed Spready online: a pre-configured AI-powered spreadsheet in your browser with a free 4-hour sandbox, demo workbooks, and ready-to-use LLM, web search and taxonomy tools.

(Un)Perplexed Spready turns LLMs into spreadsheet functions for extraction, classification and enrichment—driven by prompts inside cells. Browser sandbox is live.
matasoft.hr/qtrendcontro...
#AI #LLM #DataCleaning #Spreadsheets #PromptEngineering #AISpreadsheet #DataOps #AISpreadsheet

Try (Un)Perplexed Spready in Your Browser Try (Un)Perplexed Spready online: a pre-configured AI-powered spreadsheet in your browser with a free 4-hour sandbox, demo workbooks, and ready-to-use LLM, web search and taxonomy tools.

Instead of copy‑pasting from chatbots, define a prompt in a cell and run it via a formula. That’s how (Un)Perplexed Spready does AI in spreadsheets.
matasoft.hr/qtrendcontro...
#PromptEngineering #AISpreadsheet #NoCode #AI #LLM #Spreadsheets #DataOps #AISpreadsheet #DataAutomation #AIinBusiness

Try (Un)Perplexed Spready in Your Browser Try (Un)Perplexed Spready online: a pre-configured AI-powered spreadsheet in your browser with a free 4-hour sandbox, demo workbooks, and ready-to-use LLM, web search and taxonomy tools.

Curious about spreadsheets that understand text? In (Un)Perplexed Spready, formulas talk to AI and write structured answers back into cells. Try it in your browser.
matasoft.hr/qtrendcontro...
#AI #LLM #Spreadsheets #DataOps #AISpreadsheet #AIinBusiness #Spreadsheets #SpreadsheetAI #AIFormula

Hitachi Vantara Pentaho data integration and analytics at Hitachi Vantara is an open-sourced based, enterprise-class platform for big data deployments.

The latest update for #HitachiVantara includes "A Memory-centric Approach to System Strategy: 6 Takeaways from Supercomputing 2025" and "Why Zero Trust Storage + Eight 9s Availability Is Non-negotiable".

#Analytics #BI #DataOps https://opsmtrs.com/3hILwTO

Email Validation the Right Way (Without Nuking Good Leads) Email Validation the Right Way (Without Nuking Good Leads) — practical strategies and templates.

Disposable email detection is broken. Most tools block entire domains like guerrillamail.com but miss the actually problematic pattern: free domains + randomized local parts.

xk2p9m@gmail.com registering for three trials? That's your actual problem.
How to catch it: bit.ly/4azhei4

#SaaS #DataOps

The Ideal Microsoft Fabric CI/CD Approach: Git for Change, Deployment Pipelines for Promotion, and a Code-First Escape Hatch Microsoft Fabric CI/CD has a reputation for being confusing—usually because people look at Git integration and Deployment Pipelines as competing ideas rather than two halves of a single delivery story. The good news is that the “ideal” approach is not exotic. It’s a handoff: Use Git integration to support real developer workflows (including branching that maps cleanly to isolated workspaces). Use Deployment Pipelines to promote approved changes across environments. When you need richer approvals, tests, and release controls, let traditional tooling—especially GitHub Actions or Azure DevOps Pipeline—orchestrate promotions via Fabric APIs.

#MicrosoftFabric CI/CD and #DataOps is easier than it looks—once you stop trying to make pipelines do collaboration. The “ideal” pattern is a handoff: Git integration for change, Deployment Pipelines for promotion, and traditional #CICD for #governance.

DataOps Platform Market Size, Share & Trends Report, 2035 www.marketresearchfuture.com/reports/data...
#DataOps #DataManagement #AnalyticsPlatform #BusinessIntelligence #DataIntegration