Data Engineering| Listen on Anghami

Jun 1

How Do You Evaluate An AI Agent? (The Agents Season, Episode 7)

Knowing when an AI agent has failed sounds straightforward — until it isn't. Agents have a frustrating habit of finishing confidently while quietly doing the wrong thing, or looping endlessly without ever crashing in an obvious way. This episode tackles one of the thorniest probl ... Show More

31m 45s

May 25

AI Agent Failure Modes (The Agents Season, Episode 6)

Despite what the marketing hype might suggest, AI agents are far from infallible — and if you've ever actually used one, you already know this. Today's episode dives deep into the many, varied, and sometimes surprising ways AI agents can fail, from subtle reasoning errors to casc ... Show More

32m 42s

May 18

Agentic Planning (The Agents Season, Episode 5)

When tackling a complex, multi-step task, even the smartest AI agent can fail without a solid game plan. This episode dives into the research around agentic planning — how agents move beyond simply reacting to what's in front of them and instead model a path forward, explore diff ... Show More

24 m

Apr 2021

Moving Machine Learning Into The Data Pipeline at Cherre

<div class="wp-block-jetpack-markdown"><h2>Summary</h2> <p>Most of the time when you think about a data pipeline or ETL job what comes to mind is a purely mechanistic progression of functions that move data from point A to point B. Sometimes, however, one of those transformation ... Show More

48m 5s

Nov 2023

#162 Scaling Data Engineering in Retail with Mohammad Sabah, SVP of Engineering & Data at Thrive Market

Poor data engineering is like building a shaky foundation for a house—it leads to unreliable information, wasted time and money, and even legal problems, making everything less dependable and more troublesome in our digital world. In the retail industry specifically, data enginee ... Show More

51m 39s

Aug 2023

Unpacking The Seven Principles Of Modern Data Pipelines

<h2>Summary</h2> <p>Data pipelines are the core of every data product, ML model, and business intelligence dashboard. If you're not careful you will end up spending all of your time on maintenance and fire-fighting. The folks at Rivery distilled the seven principles of mod ... Show More

47m 3s

Nov 2021

Data Quality Starts At The Source

<div class="wp-block-jetpack-markdown"><h2>Summary</h2> <p>The most important gauge of success for a data platform is the level of trust in the accuracy of the information that it provides. In order to build and maintain that trust it is necessary to invest in defining, monitori ... Show More

58m 55s

Feb 2020

Data Modeling That Evolves With Your Business Using Data Vault

<div class="wp-block-jetpack-markdown"><h2>Summary</h2> <p>Designing the structure for your data warehouse is a complex and challenging process. As businesses deal with a growing number of sources and types of information that they need to integrate, they need a data modeling st ... Show More

1h 6m

Jun 2020

Bringing Business Analytics To End Users With GoodData

<div class="wp-block-jetpack-markdown"><h2>Summary</h2> <p>The majority of analytics platforms are focused on use internal to an organization by business stakeholders. As the availability of data increases and overall literacy in how to interpret it and take action improves ther ... Show More

52m 24s