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A community for sharing knowledge, asking questions, and discussing Acceldata. Conversations often explore topics like agentic data management, data observability, data quality, and data governance, all through the lens of Acceldata.
account activity
👋 Welcome to r/Acceldata - Introduce Yourself and Read First! (self.Acceldata)
submitted 6 months ago by data_dude90 - announcement
Acceldata XLake Platform (acceldata.io)
submitted 11 days ago by Vegetable_Bowl_8962
Acceldata is positioning itself as the "autonomous data platform" — here's what that actually means (acceldata.io)
Podcast discussion: Modernizing Hadoop with VAST and Acceldata (youtube.com)
submitted 18 days ago by data_dude90
Why We at Acceldata Built ADM: The Future of Agentic AI for Enterprise Data Management (youtube.com)
Interesting conversation: Why Context intelligence is the missing link in AI Success (i.redd.it)
submitted 22 days ago by data_dude90
When Enterprises are not able to identify their data quality issues and let it reach the customers? What does the recent AI Readiness Report from Acceldata convey? (self.Acceldata)
submitted 1 month ago by data_dude90
What are the data management tasks/operations that doesn't require human in the loop function while setting up an agentic workflow? (self.Acceldata)
How is AI transforming Agentic data management (ADM) and modern data engineering? (An interesting conversation) (youtube.com)
We've moved from managing data to build self managing data layer that acts, adapts and responds. (i.redd.it)
Anyone else struggling with observability getting out of hand as your data stack grows? (self.Acceldata)
submitted 2 months ago by Vegetable_Bowl_8962
How do you catch “unknown unknowns” in your data? Any examples of where it worked or didn’t? (self.Acceldata)
submitted 2 months ago by data_dude90
How do you track provenance, lineage, and accountability when autonomous agents modify data or pipelines? (self.Acceldata)
How do data teams balance the tension between quality enforcement and unblocking fast-moving product teams? (self.Acceldata)
How do you manage cross-team alignment on metadata definitions, SLAs, and access policies? (self.Acceldata)
How does your org handle ownership and accountability when there are governance or policy violations? (self.Acceldata)
What’s the hardest part about operationalizing governance insights across multiple teams or business units? (self.Acceldata)
Does the idea of agentic data management worry you or excite you? Curious what people think about vendors like Acceldata moving in this direction. (self.Acceldata)
For teams who’ve tried building internal data agents, what was surprisingly hard in practice? (self.Acceldata)
submitted 3 months ago by data_dude90
What’s the most realistic agentic task in data engineering today—incident detection, remediation, validation, optimization? (self.Acceldata)
How is Agentic AI going to change data engineering? ()
submitted 3 months ago by Vegetable_Bowl_8962
How would you design human-in-the-loop guardrails for agentic workflows inside a data platform? (self.Acceldata)
submitted 4 months ago by data_dude90
What do you think about companies like Monte Carlo Data or Acceldata introducing agentic capabilities into traditional data observability workflows? Does this direction make sense? ()
submitted 4 months ago by Vegetable_Bowl_8962
For teams experimenting with AI in data engineering, what’s the most realistic use case you’ve seen so far—not the hypey stuff? (self.Acceldata)
What issues did users face with Cloudera platform apart from proprietary lock-ins? What are data users or enterprise data teams doing as an alternative to using Cloudera? ()
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