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Auditing Your Data and Answering the Life Long Question, Is It the End of the Day Yet? [Kafka Summit 2022]
About this event
Auditing Your Data and Answering the Life Long Question, Is It the End of the Day Yet? Date : April 25, 2022 Time : 2:00 PM - 2:45 PM BST Speakers: Simona Meriam, Senior Data Engineer, Aidoc Abstract: Over here at Nielsen, data is very important to us. Being the core of our business, we love it and there’s lots of it.
We don’t want to lose it, and at the same time, we don’t want to duplicate it. Our data goes through a robust Kafka architecture, into several ETLs, receiving, transformin. Auditing Your Data and Answering the Life Long Question, Is It the End of the Day Yet?
[Kafka Summit 2022] is an official summit listing associated with Confluent. Visit the company-owned event page for the organizer's latest agenda, access details, availability, and registration or viewing instructions. UPCOMING provides this independent listing to help professionals discover the session.
What you'll learn
- Auditing heart beat - designing your metadata
- Designing and optimising your auditing table - what does this data look like anyway?
- Creating an alert based monitoring system
- Answering the most important question of all - is it the end of the day yet?
Topics covered
Frequently asked questions
Who is hosting Auditing Your Data and Answering the Life Long Question, Is It the End of the Day Yet? [Kafka Summit 2022]?
Auditing Your Data and Answering the Life Long Question, Is It the End of the Day Yet? [Kafka Summit 2022] is hosted by Confluent.
When is Auditing Your Data and Answering the Life Long Question, Is It the End of the Day Yet? [Kafka Summit 2022]?
Auditing Your Data and Answering the Life Long Question, Is It the End of the Day Yet? [Kafka Summit 2022] is scheduled for Friday, April 22, 2022.
Where does registration take place?
Registration or viewing is completed on Confluent's website.
What format is this event?
This is an online summit.
Which topics does this event cover?
The event covers HR and Data.