#628: Data on EKS| Listen on Anghami

Jan 19

#752: Modernizing SAP with AWS

Discover how customer are leveraging AWS to modernize SAP systems. Tushar Srivastava (Principal Account Manager) talks about the role SAP plays in an enterprise, the modernization challenges faced by customers and how AWS helps in that modernization journey. Through the conversat ... Show More

33m 29s

Jan 12

#751: Werner Vogels’ Tech Predictions for 2026 and Beyond...

For the past 6 years, Werner has published his annual tech predictions, where he’s covered everything from sports and simulation, to smart energy innovation and quantum to AI-supported software development, even the role companies will play in educating the next generation of eng ... Show More

30m 54s

Dec 4

#750: re:Invent 2025 - Day 3 Wrapup

It is the end of re:Invent! Simon and Jillian share some updates and also take a moment to reflect on 2025.

22m 42s

Jun 2021

Accelerating ML Training And Delivery With In-Database Machine Learning

<div class="wp-block-jetpack-markdown"><h2>Summary</h2> <p>When you build a machine learning model, the first step is always to load your data. Typically this means downloading files from object storage, or querying a database. To speed up the process, why not build the model in ... Show More

1h 5m

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

Aug 2022

An Exploration Of The Expectations, Ecosystem, and Realities Of Real-Time Data Applications

<div class="wp-block-jetpack-markdown"><h2>Summary</h2> <p>Data has permeated every aspect of our lives and the products that we interact with. As a result, end users and customers have come to expect interactions and updates with services and analytics to be fast and up to date ... Show More

1h 6m

Oct 2022

How To Bring Agile Practices To Your Data Projects

<div class="wp-block-jetpack-markdown"><h2>Summary</h2> <p>Agile methodologies have been adopted by a majority of teams for building software applications. Applying those same practices to data can prove challenging due to the number of systems that need to be included to implem ... Show More

1h 12m

Oct 2023

Reducing The Barrier To Entry For Building Stream Processing Applications With Decodable

<h2>Summary</h2> <p>Building streaming applications has gotten substantially easier over the past several years. Despite this, it is still operationally challenging to deploy and maintain your own stream processing infrastructure. Decodable was built with a mission of eliminat ... Show More

1h 8m

Aug 2022

Collecting And Retaining Contextual Metadata For Powerful And Effective Data Discovery

<div class="wp-block-jetpack-markdown"><h2>Summary</h2> <p>Data is useless if it isn’t being used, and you can’t use it if you don’t know where it is. Data catalogs were the first solution to this problem, but they are only helpful if you know what you are look ... Show More

53m 24s

Mar 2022

Bayesian Machine Learning with Ravin Kumar (Ep. 191)

<p>This is one episode where passion for math, statistics and computers are merged. I have a very interesting conversation with Ravin, data scientist at Google where he uses data to inform decisions.</p> <p>He has previously worked at Sweetgreen, designing systems that would b ... Show More

31m 12s

Sep 2021

Declarative Machine Learning Without The Operational Overhead Using Continual

<div class="wp-block-jetpack-markdown"><h2>Summary</h2> <p>Building, scaling, and maintaining the operational components of a machine learning workflow are all hard problems. Add the work of creating the model itself, and it’s not surprising that a majority of companies th ... Show More

1h 11m