The Rise of Data Downtime: Making Observability a Pillar of your Data Lake - Monte Carlo Data

November 25, 2020

Ever had your CEO look at a report and say the numbers look way off? Has a customer ever called out incorrect data in one of your product dashboards? If this sounds familiar, data reliability should be the cornerstone of your data engineering strategy. In this talk, I’ll introduce the concept of 'data downtime' — periods of time when data is partial, erroneous, missing, or otherwise inaccurate - and how to eliminate it in your data lake, as well as the rest of your data ecosystem. Data downtime is highly costly for organizations, yet is often addressed ad hoc. We’ll discuss why data downtime matters to building a better data lake and tactics best-in-class organizations use to address it - including org structure, culture, and technology.

Previous Video
Apache Airflow - The present and the future - Sumit Maheshwari, Apache Airflow
Apache Airflow - The present and the future - Sumit Maheshwari, Apache Airflow

In this talk, Sumit will talk about the current state of Apache Airflow and a couple of super cool features...

Next Video
Your Data Lake is Moving to the Cloud - What About Your Security Policies? -  Privacera
Your Data Lake is Moving to the Cloud - What About Your Security Policies? - Privacera

Presented by Srikanth Venkat, Privacera. Enterprises migrating to the cloud for increased agility and elas...