It’s time to reduce your data infrastructure costs with data pipeline automation.
Jon Osborn will walk you through the rationalization he’s used as a former Chief Data Officer to maximize ROI from data programs — saving up to 60% of ETL compute spend and lowering overall cloud compute bill up to 48% as a result.
In this session, you’ll learn:
Infrastructure spend for data applications has been soaring. IDC is reporting a 3Q22 cloud infrastructure market of $23.9bn, representing a 24.7% increase over the prior year. Snowflake, one of the largest providers of cloud data software, reported an annualized revenue in FY2023 of $2.07bn representing a 68.9% YoY growth.
When it comes to cost savings initiatives, it is hard to imagine a bigger target than these multi-million dollar items. But data remains as vital as ever to the modern business. Cutting indiscriminately could risk the organization’s agility and competitive advantage in an already challenging climate. How should savvy leaders straddle this line?
Jon Osborn will walk through the rationalization he’s used as a former Chief Data Officer to maximize ROI from data programs. He’ll explore ways that data pipeline automation can save up to 60% of your ETL compute spend, lowering your overall cloud compute bill up to 48% as a result.
In this session, you’ll learn:
Experienced technology executive with deep management and development experience using cloud-native solutions for agile data delivery.
He is passionate about building high-performance teams and zero impedance paths to production. With his background and track record of success, he excels at defining the combinations of business justification, executive support, mindset shift, and cultural changes required to drive a winning data modernization strategy.
Data pipeline optimization helps cut costs, enhance efficiency, pinpoint hotspots, and drive data-driven success.
Explore the challenges of the modern data stack and uncover the path toward the next revolution in data engineering: end-to-end automation.
Learn how intelligent data pipelines produce business results at game-changing velocity via a unified tech stack and scaled automation.
