Why is DataOps So Hard?!
May 7, 2025
13:45
13:15
Data Day

DataOps is harder than you might think. Supporting the operations of scalable data environments poses a challenge greater than the known application-level support due to the complexity of managing data together with the application. Why is data adding so much complexity? Well, Data is big, so all systems are now becoming distributed. Data is mutable, and it's hard to create repeatable, automated pipelines. Plus, technology is evolving at an alarming rate and changes are messy.

Interested in learning about all the most recent updates in the data space? How does that impact DataOps? In this talk, you will learn about the challenges and best practices, and develop empathy for those who manage scalable data environments.

Speaker Einat orr
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Dr. Einat Orr
CEO
lakeFS 500X250

Einat Orr has 20+ years of experience building R&D organizations and leading the technology vision at multiple companies, the latest being Similarweb, that IPO in NYSE last May. Currently she serves as Co-founder and CEO of Treeverse, the company behind lakeFS, an open source platform that delivers a git-like experience to object-storage based data lakes. She received her PhD. in Mathematics from Tel Aviv University, in the field of optimization in graph theory.

Cancellation Policy

Sponsor Cancellation:

In case of cancellation of the event, we will offer a full refund to all attendees and sponsors.

Attendee cancellations:

Up to 30 days prior to the event – 100% Refund 30-14 days prior to the event – 50% Refund No refund will be offered later than that.

Cancellation Policy

Sponsor Cancellation:

In case of cancellation of the event, we will offer a full refund to all attendees and sponsors.

Attendee cancellations:

Up to 30 days prior to the event – 100% Refund.
30-14 days prior to the event – 50% Refund.
No refund will be offered later than that.