DataKitchen
MARCH 20, 2025
Unlocking Data Team Success: Are You Process-Centric or Data-Centric? Over the years of working with data analytics teams in large and small companies, we have been fortunate enough to observe hundreds of companies. We want to share our observations about data teams, how they work and think, and their challenges.
Data Engineering Podcast
JUNE 30, 2024
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. What does an on-call rotation for a data engineer/data platform engineer look like as compared with an application-focused team?
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Monte Carlo
JANUARY 21, 2025
Who Attends Expect to meet a diverse crowd: top-level executives, seasoned data scientists, technology vendors, and rising innovators. Key Themes Data-Driven Decision-Making : Learn how to build a data-centric culture that drives better outcomes. Its a unique blend of business and technical expertise under one roof.
Data Engineering Weekly
MARCH 3, 2024
Here is the agenda, 1) Data Application Lifecycle Management - Harish Kumar( Paypal) Hear from the team in PayPal on how they build the data product lifecycle management (DPLM) systems. 3) DataOPS at AstraZeneca The AstraZeneca team talks about data ops best practices internally established and what worked and what didn’t work!!!
DataKitchen
NOVEMBER 4, 2021
It’s too hard to change our IT data product. Can we create high-quality data in an “answer-ready” format that can address many scenarios, all with minimal keyboarding? . “I I get cut off at the knees from a data perspective, and I am getting handed a sandwich of sorts and not a good one!”. The DataOps Advantage .
Data Engineering Weekly
AUGUST 25, 2024
Take Astro (the fully managed Airflow solution) for a test drive today and unlock a suite of features designed to simplify, optimize, and scale your data pipelines. Try For Free → Conference Alert: Data Engineering for AI/ML This is a virtual conference at the intersection of Data and AI.
Maxime Beauchemin
JANUARY 20, 2017
The modern data warehouse is a more public institution than it was historically, welcoming data scientists, analysts, and software engineers to partake in its construction and operation. Data is simply too centric to the company’s activity to have limitation around what roles can manage its flow.
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