Top Tweets for #dataOPs
Human Data Manager, New Grad- $35–55/hr
Remote | Full-time | Data Operations | Python | SQL | Tableau | Workflow Optimization
Recent CS/data/ops grad? Manage data workflows & annotation pipelines for frontier AI training.
Apply Now → https://t.co/dYkTPOj6VS
#RemoteWork #DataOps
𝗙𝗿𝗲𝗲 𝗮𝗰𝗰𝗲𝘀𝘀. Real-world impact. Discover how to design governed, scalable AI applications with @databricks Apps & Unity Catalog. Ideal for teams building next-gen data & AI solutions in today’s agentic era. #OpenAccess #EnterpriseAI #DataOps
🔗 https://t.co/oT0rZ9emub
Application Support Analyst (#DataOps) in #Chorley (Hybrid Working) to £41k + Benefits
An exciting opportunity has arisen for an experienced #ApplicationSupport Analyst to join a growing software and services organisation operating within the UK utilities sector.
https://t.co/8oJu8487Vm
Strong data catalogs transform the way teams think. They shift work from guesswork to clear action. What’s your take? #DataCatalogs #SingleSourceOfTruth #DataQuality #DataTrust #DataOps #DataStrategy #AIReadyData #DataFuture
https://t.co/wPCEUZIKu9
Strong data catalogs transform the way teams think. They shift work from guesswork to clear action. What’s your take? #DataCatalogs #SingleSourceOfTruth #DataQuality #DataTrust #DataOps #DataStrategy #AIReadyData #DataFuture
https://t.co/DaHeGI8tnD
🚀 Just back from #Snowflake Summit 2026, and one message stood out loud and clear: Goodbye Data, Hello AI. Data platforms are evolving into AI-native operating systems. 🤖📊
#AI #DataEngineering #AgenticAI #DataPlatform #EnterpriseAI #DataOps
https://t.co/79Ko5RY9yx
This is a material security posture improvement.
Principle of least privilege, applied systematically to your infrastructure workflow rather than as an afterthought.
#Atlantis #Terraform #Security #DataOps #DevOps #CloudSecurity #InfrastructureAsCode #FederatedEngineers
The Four Points in Your Medallion Architecture Where Data Testing Really Matters
https://t.co/IzTUYimDI2
#dataengineering #dataquality #opensource #dataobservability #dataops
The Four Points in Your Medallion Architecture Where Data Testing Really Matters
https://t.co/9w0E3zoVwQ
#dataengineering #dataquality #opensource #dataobservability #dataops
The Four Points in Your Medallion Architecture Where Data Testing Really Matters
https://t.co/6jl3cgeToo
#dataengineering #dataquality #opensource #dataobservability #dataops
Most data teams optimise for incident recovery. The leverage is in detection. A 30-minute detection delay turns a 1-hour fix into a 3-hour fire drill with the CMO on the call. Detection compounds. Recovery doesn't.
https://t.co/aST1O6ukJ5
#DataOps #DataReliability
Rule we built into archian: nothing touches production before you've seen the diff.
01 Build + test in a sandbox
02 Review the exact diff
03 Promote with one approval
Move fast without the "oh no" moment.
→ https://t.co/lpMvcY8sc4
#ArchianAI #Salesforce #DataOps #RevOps
90% of consumers are ready to use AI in shopping. Your inventory system can't tell you what's actually in stock in real time. Your pricing data lives in three different databases. Your product descriptions don't match how…
#retail #inventory #dataops #ecommerce
527: Data lineage and docs are missing. This creates a knowledge gap, hiding data origins. #DataOps #DataGovernance
The worst data failures aren't loud. They're silent.
A sync dies. No alert. Six days later a dashboard looks off and you're doing forensics on a week of bad data.
archian retries, then tells a human what broke.
→ https://t.co/lpMvcY8sc4
#ArchianAI #DataOps
𝗙𝗿𝗲𝗲 𝗮𝗰𝗰𝗲𝘀𝘀. Real-world impact. Discover how to design governed, scalable AI applications with @databricks Apps & Unity Catalog. Ideal for teams building next-gen data & AI solutions in today’s agentic era. #OpenAccess #EnterpriseAI #DataOps
🔗 https://t.co/oT0rZ9emub
Predictive LTV shows where your business is going, while past averages mask growth.
Predict value early:
➤ Cohorts: Use Day 7 channel data
➤ Frequency: Track purchase velocity to catch decay
➤ ML: Model paths for retention
Know future value to outspend competitors.
#DataOps
60% of enterprise pipeline failures trace to data quality problems, not infra. Self-healing pipelines fix the architecture, not just the alert. Here's how AI agents make it production-ready: https://t.co/FbNxy584JZ
#DataEngineering #DataOps
Upriver Raises $14M Seed
#AI #EnterpriseAI #DataEngineering #DataInfrastructure #DataOps #EnterpriseTech #Seed #Funding #Upriver
https://t.co/fr8lfEJ6uY
🔍 Engenharia de Dados não é só abrir tabelas: é transformar caos em insights que movem empresas. Dados mal tratados = decisões erradas. Se sua pipeline não é confiável, seu BI é palpite. Invista em qualidade, automação e monitoramento! #DataEngineering #DataOps ☕
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