#628: Data on EKS| Listen on Anghami

Today

#734: AWS News: OpenAI, Amazon Elastic VMware Service, and Lots More.

A bumper crop of new and improved things for you to take advantage of.

42m 53s

Aug 18

#733: Amazon Connect - So Many Cool New Capabilities For You to Use!

In this episode of the AWS Podcast, we explore the evolving world of contact centers and Amazon Connect. The discussion covers why contact centers remain critical to both business and public sector operations, and how they're transforming from traditional cost centers into valuab ... Show More

33m 5s

Aug 4

#732: How to gain Multi-Cluster Visibility across Kubernetes Clusters with the EKS Dashboard

In this episode, we'll explore how the new Amazon EKS Dashboard solves key challenges in managing Kubernetes at scale across multiple AWS accounts and regions. We'll discuss how it provides centralized visibility into cluster health, versions, and costs - enabling teams to improv ... Show More

24m 53s

Jun 2021

Accelerating ML Training And Delivery With In-Database Machine Learning

Summary 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 inside the database so that you don’t have to move the ... Show More

1h 5m

Apr 2021

Moving Machine Learning Into The Data Pipeline at Cherre

Summary 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 transformations is actually a full-fledged machine learning projec ... Show More

48m 5s

Aug 2022

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

Summary 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. In this episode Shruti Bhat gives her view on the ... Show More

1h 6m

Oct 2022

How To Bring Agile Practices To Your Data Projects

Summary 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 implement a complete feature. In this episode Shane Gibson ... Show More

1h 12m

Oct 2023

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

Summary 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 eliminating all of the ... Show More

1h 8m

Aug 2022

Collecting And Retaining Contextual Metadata For Powerful And Effective Data Discovery

Summary 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 looking for. In this episode Shinji Kim discusses the challenges of data d ... Show More

53m 24s

Mar 2022

Bayesian Machine Learning with Ravin Kumar (Ep. 191)

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. He has previously worked at Sweetgreen, designing systems that would benefit team ... Show More

31m 12s

Sep 2021

Declarative Machine Learning Without The Operational Overhead Using Continual

Summary 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 that could greatly benefit from machine learning have yet to ... Show More

1h 11m