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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 "Data Silos Could Be Your Biggest #Cloud Liability" and "What CTOs Need to Know About Modern #AI Storage".

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

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Building a Resilient Data
Ingest:Lessons from Microsoft Fabric and SQL
CDC

www.linkedin.com/pulse/buildi...

#MicrosoftFabric #AzureSQL #DataEngineering #SQLServer
#DataLakehouse #CDC
#DataPipelines #ETL
#IncrementalLoading #DataArchitecture
#Businessintelligence #CloudData
#DataOps
#Techinnovation

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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 "What CTOs Need to Know About Modern #AI Storage" and "The New Requirements for Mission-Critical Storage in an AI-Driven Enterprise".

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

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Check out my latest article: Continuous Enterprise Data Pipelines: Key Infrastructure for Artificial Intelligence and Better Decision Making linkedin.com/pulse/contin... #Data #EnterpriseData #DataOps #ArtificialIntelligence

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CSV pitfalls that wreck imports:
- Commas in fields break columns
- Leading zeros stripped from zips
- Excel reformats dates on open

Open CSVs in a text editor first. Not Excel. Trust me.

#DataOps #CSVTips

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"Python's performance sucks" - Yes, but... that's not the end of the story. Can python be fast? Yes: cemrehancavdar.com/2026/03/10/o...

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

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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 "Legacy VM Footprints are Holding Back Digital Transformation" and "Beyond RAID and Mirroring: A Next-Generation Approach to Data Resilience".

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

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DataOps + FITT + Data Testing = 10x Data Engineering Productivity with AI | DataKitchen AI coding tools like Claude Code are generating significant excitement in software engineering. But for data engineers, getting 10 times the productivity isn’t automatic. Just adding an AI agent to a ...

10x Your Data Engineering with AI: Practitioner Patterns That Actually Work
Claude Code ( DataOps + FITT + Data Testing ) = 10x Data Engineering Productivity
datakitchen.io/dataops-fitt...
#dataops #dataengineering

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"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

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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

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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

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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

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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

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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

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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]

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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