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What You’ll Learn in This Webinar
As data volumes proliferate and costs of data grow, it's becoming increasingly difficult to find the signal in all the noise. Telemetry data -- metrics, logs and traces -- are key to making sound, data-driven decisions, troubleshooting systems issues and maintaining uptime, but it's easy to get overwhelmed. Data profiling shows you exactly where your good data is coming from, how to save what's relevant and discard what's not and slash your data management and storage expenses.
In this Techstrong Learning Experience, you’ll learn what data profiling is, why it’s important and how to do it right. Mezmo's Marc Phillips and Brandon Shelton will explore the ins and outs of metrics, logs, traces and telemetry data and why having a repeatable data profiling strategy drives continuous improvement in your observability practice. You'll also learn how data profiling impacts your deployment life cycle and helps your organizations respond faster.
What data profiling is, why it’s important, and how to do it right.
How to separate the signal from all the telemetry noise
Why having a repeatable profiling strategy drives continuous improvement in your observability practice
How data profiling impacts your deployment life cycle
How data profiling helps organizations respond faster and maintain uptime
Principal Customer Success Manager - Mezmo
Marc Phillips is a software service delivery and business strategy leader committed to creating customer value and fostering high performing teams. Marc has over 25 years experience planning, delivering, and supporting impactful software solutions across engineering, product, and project management roles for industries including ecommerce, industrial machinery, and data management. Marc also serves as a startup advisor and currently works with global enterprises as a Principal Customer Success Manager at Mezmo, the leading observability & telemetry pipeline platform.
Solutions Architect - Mezmo
Brandon is Mezmo’s in-house Solutions Architect with a wide range of experience in software engineering, systems integration, big data, and business analytics.
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this webinar starts in
2017/07/22 12:00 PM EST
What You’ll Learn in This Webinar
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