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How to End the Long tail of Most Data Requests | Narrator

ABOUT THE TALK:
Modern data stacks focus on the most common use-cases and dashboards, but what about all the ad-hoc requests that come? The current tool set fails to allow data analysts to iterate easily with stakeholders. In this talk, we will discuss that without an ad-hoc layer, data analysts are left to answer questions with hacky live SQL or have every request go through the resource-intensive and expensive production processes and workflows.

An ad-hoc layer solves this by allowing data analysts to answer data questions, change their mind, and deliver data dumps or simple analyses incredibly fast and reliably. Allowing them to prioritize putting it into production only if it needs to be reused.

ABOUT THE SPEAKER:
Ahmed Elsamadisi is the founder and CEO of Narrator. Narrator enables companies to make better decisions by providing them with the ability to answer any question in under 10 minutes. Ahmed started his career building algorithms for self-driving cars and human-robot interaction. He then joined Raytheon to develop AI algorithms for missile defense, focusing on tracking and discrimination. In 2015, Ahmed joined WeWork as the first hire on their data team. He built their data engineering infrastructure and grew the team of data engineers and analysts.

ABOUT DATA COUNCIL:
Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers.

Make sure to subscribe to our channel for the most up-to-date talks from technical professionals on data related topics including data infrastructure, data engineering, ML systems, analytics and AI from top startups and tech companies.

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Видео How to End the Long tail of Most Data Requests | Narrator канала Data Council
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Информация о видео
12 мая 2023 г. 3:30:20
00:11:54
Яндекс.Метрика