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#dataops

Latest posts tagged with #dataops on Bluesky

Posts tagged #dataops

UK's National Data Library risks becoming a dusty archive unless datasets are usable. RevOps: accessible public data would supercharge AI forecasting and lead scoring. Time to push for usable data not just open files. Source: The Register. #RevOps #DataOps

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Google DeepMind redefines AI efficiency with extreme compression with TurboQuant:

Google Blog: research.google/blog/turboqu...

#ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps #augmentedintelligence #deeplearning

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Try (Un)Perplexed Spready in Your Browser: A Safe, Pre‑Configured AI Spreadsheet Sandbox Try (Un)Perplexed Spready in Your Browser – No Install, Fully Pre‑Configured Want to see what AI‑driven spreadsheets can really do, without fighting with infrastructure first? You can now run (Un)Perp...

AI spreadsheets are exciting—until setup gets in the way. Try the pre-configured online Spready portal. A licensed mode is available with unlimited sessions. You can switch between ASK_LOCAL and ASK_REMOTE demo workbooks. Walkthrough: www.linkedin.com/pulse/try-un...
#LLM #DataOps #ProductData #AI

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#dataengineering #datareliability #dataops | Nikolaos Konstantinou, PhD When managing data pipelines, there are things you can do with AI and things for which AI inevitably falls short. Can your AI agent produce a sample test message? Sure. Can it write a unit test, draf...

When managing data pipelines, there are things you can do with AI and things for which AI inevitably falls short.

#DataEngineering #DataReliability #DataOps

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Handling Schema Changes in SQL Server CDC:The "Two-Instance" Shuffle
Manage SQL CDC schema changes via v2 instances

www.linkedin.com/pulse/handli...

#SQLServer #DataEngineering #DatabaseAdministration #CDC #ETL #DataIntegration #DataArchitecture #ChangeDataCapture #SQLTips #DatabaseDesign #DataOps

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How many hours does your team waste fixing data manually?

Now imagine that process automated.

That’s where real ROI starts.

#Automation #DataOps #Efficiency

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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 "Cutting Storage Media Costs and Risks in a #SupplyChain Crunch" and "What If #SAP Scale Was No Longer a Concern?".

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

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Data cleaning isn't a project. It's a practice.

Monthly dedup. Quarterly audits. Ongoing validation.

Like dishes after dinner vs. Sunday scrubbing a filthy kitchen. Same effort, different experience.

#DataHygiene #DataOps

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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 If #SAP Scale Was No Longer a Concern?" and "Data Silos Could Be Your Biggest #Cloud Liability".

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

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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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