Using Lakehouse Monitoring&Data Observability to Deliver Enterprise Reliability

Presented by

Ramon Chen, CPO, Acceldata, Pradeep Anandapu Senior Partner Solutions Architect Databricks

About this talk

To deliver the best business outcomes, you must continually monitor the accuracy, consistency, and completeness of your data—in other words, you must ensure that the data in your lakehouses and other mission-critical platforms is reliable. Data observability enables real-time monitoring of the pipelines that ingest and prepare the data being loaded into these operational platforms. Having all this real-time intelligence at your users’ fingertips enables you to proactively monitor, diagnose, and remediate data issues. Join this webinar for a discussion of how data observability can boost your data reliability. TDWI’s James Kobielus and panelists will discuss the following key questions: What is data observability? What are the principal data reliability metrics that you should use data observability to monitor and manage? How should your organization deploy data observability to monitor and manage data reliability at scale on the lakehouse and throughout a diverse data ecosystem? How can you use data observability to identify reliability issues at the source? How should chief data officers, data engineers, data scientists, data analysts, and other stakeholders collaborate to ensure data reliability through robust monitoring and observability?
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We'll cover aspects of data observability including best practices and tips to help data engineers, interviews with data executives, digital transformation and more.