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Seemore NY event
Learn how you can optimize your Snowflake performance & cut costs

Join BlackRock, dbt Labs, Via and ESL Data leaders for an exclusive, invite-only event in New York City, where you'll gain expert insights, engage in a dynamic panel discussion, and enjoy great conversations over beer and pizza. πŸ•πŸΊ

πŸ“ Location: 205 West 37th Street, New York, New York 10018, 8th FL


πŸ“† Date & Time: Monday, March 24th at 6pm


🎀 Speakers: 

  • Yaniv Leven, CPO at Seemore Data
  • Rohan Rekhi, Aladdin ADC Senior Data Engineering Leader at BlackRock.
  • Hope Watson, Resident Architect at dbt Labs 
  • Saar Golde, CDS, Via
  • Yuda Borochov, CDO, ESL FACEIT Group

Join Us at Our Upcoming Event

What You’ll Learn

Session 1:

Mastering Snowflake Warehouse Sizing & Configuration

Featuring: Yaniv Leven at Seemore Data

In this session you will get the inside track on optimizing Snowflake performance while reducing costs.

You will Learn:


βœ… How to balance performance & costβ€”when to scale up vs. scale out

βœ… Auto-suspend & auto-scaling best practices to prevent wasted spend

βœ… Optimizing warehouse setups for ETL, BI dashboards, and ad-hoc queries

βœ… Real-world cost-saving strategies & query optimization techniques

Session 2:
Fireside Chat: Proactive Data Management – Uncovering Hidden Issues Before They Cost You

Featuring: Rohan Rekhi at BlackRock, Hope Watson at dbt Labs, Saar Golde at VIA and Yuda Borochov, CDO, ESL FACEIT Group

In this Fireside Chat, they will talk about how data leaders can take a proactive approach to data management, uncovering inefficiencies and hidden costs before they become major problems.

This insightful conversation will explore:

βœ… Detecting hidden inefficiencies – How to identify and resolve costly data issues before they impact performance.

βœ… Keeping Snowflake costs under control – Strategies to optimize usage, performance, and spend with a proactive mindset.

βœ… AI’s role in data observability – How AI-driven insights help teams stay ahead of bottlenecks, anomalies, and unnecessary expenses.