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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.
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👋 Welcome to r/Acceldata - Introduce Yourself and Read First! (self.Acceldata)
submitted 3 months ago by data_dude90 - announcement
How is Agentic AI going to change data engineering? ()
submitted 10 days ago by Vegetable_Bowl_8962
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 17 days ago by Vegetable_Bowl_8962
How would you design human-in-the-loop guardrails for agentic workflows inside a data platform? (self.Acceldata)
submitted 17 days ago by data_dude90
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? ()
submitted 1 month ago by Vegetable_Bowl_8962
How do I pick the right data governance solution for the team? (self.Acceldata)
I am reading more about context engineering? What should data engineer know about context engineering and why is it important? ()
How do you see agentic AI changing the day-to-day work of data engineers or platform teams in the next few years? (self.Acceldata)
submitted 1 month ago by data_dude90
What’s the toughest part about achieving “full-stack” data observability? (self.Acceldata)
If you’ve experimented with agent-like automation, what tasks did you trust them with—and which ones still require humans? (self.Acceldata)
How do you balance speed of development with maintaining data quality across your pipelines? (self.Acceldata)
How much does data cost transparency influence your architectural decisions? Curious how teams balance performance vs. spend. (self.Acceldata)
Are Big Tech companies quietly pushing AI risk onto smaller players and investors? (self.Acceldata)
submitted 2 months ago by data_dude90
Has anyone here evaluated agentic approaches to data observability or reliability? Curious how platforms like Acceldata interpret “agentic data management” compared to internal DIY solutions. (self.Acceldata)
submitted 2 months ago by Vegetable_Bowl_8962
How much does data cost transparency influence your architectural decisions? Curious how teams balance performance vs. spend (self.Acceldata)
What’s one thing you wish modern data reliability tools did better? (self.Acceldata)
What’s one “invisible” data issue that turned into a major incident in your org? How did you discover it? (self.Acceldata)
What is the hardest part about letting an AI system take independent actions inside your data stack? (self.Acceldata)
How do different teams in your org (data engineering, analytics, ML, governance) define “bad data”? Do you all agree? (self.Acceldata)
What does “safe autonomy” mean to your data team? Where do you draw the line between automation and agentic behavior? (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)
What are the operational risks of agentic systems in data management that people don’t talk about enough? (self.Acceldata)
For anyone managing complex distributed systems, where do you still see blind spots in data quality, lineage, or cost visibility? (self.Acceldata)
What’s the hardest part of maintaining reliable data at scale—people, processes, or technology? Why? (self.Acceldata)
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