#593: AWS Glue Data Quality| Listen on Anghami

Apr 2026

#754: Accelerating healthcare decisions with agents

In this episode of the AWS Podcast, you'll hear how Cohere Health®, uses Amazon Bedrock AgentCore to optimize the accuracy and efficiency of health plan medical necessity reviews. Cohere Review Resolve™ analyzes both structured and unstructured data–such as clinical records, pati ... Show More

35m 55s

Jan 2026

#753: Amazon Bedrock Mantle and Developing at the Speed of AI

In this episode, Simon speaks with Joe Magerramov (VP & Distinguished Engineer) to explore the transformative impact of AI-assisted coding on software development workflows. Joe shares his team's real-world experience achieving a 10x increase in code throughput using agentic deve ... Show More

55m 51s

Jan 2026

#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

Jul 2021

Strategies For Proactive Data Quality Management

<div class="wp-block-jetpack-markdown"><h2>Summary</h2> <p>Data quality is a concern that has been gaining attention alongside the rising importance of analytics for business success. Many solutions rely on hand-coded rules for catching known bugs, or statistical analysis of rec ... Show More

1h 1m

Mar 2021

Data Quality Management For The Whole Team With Soda Data

<div class="wp-block-jetpack-markdown"><h2>Summary</h2> <p>Data quality is on the top of everyone’s mind recently, but getting it right is as challenging as ever. One of the contributing factors is the number of people who are involved in the process and the potential impa ... Show More

58 m

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

Nov 2021

Exploring Processing Patterns For Streaming Data Integration In Your Data Lake

<div class="wp-block-jetpack-markdown"><h2>Summary</h2> <p>One of the perennial challenges posed by data lakes is how to keep them up to date as new data is collected. With the improvements in streaming engines it is now possible to perform all of your data integration in near r ... Show More

52m 53s

Jan 2022

Automated Data Quality Management Through Machine Learning With Anomalo

<div class="wp-block-jetpack-markdown"><h2>Summary</h2> <p>Data quality control is a requirement for being able to trust the various reports and machine learning models that are relying on the information that you curate. Rules based systems are useful for validating known requi ... Show More

1h 2m

Sep 2025

Context-Aware SQL and Metadata with Shinji Kim

A common challenge in data-rich organizations is that critical context about the data is often hard to capture and even harder to keep up to date. As more people across the organization use data and data models get more complex, simply finding the right dataset can be slow and cr ... Show More

41m 38s

Mar 2024

Adding Anomaly Detection And Observability To Your dbt Projects Is Elementary

<h2>Summary</h2> <p>Working with data is a complicated process, with numerous chances for something to go wrong. Identifying and accounting for those errors is a critical piece of building trust in the organization that your data is accurate and up to date. While there are num ... Show More

50m 44s

Mar 2024

Version Your Data Lakehouse Like Your Software With Nessie

<h2>Summary</h2> <p>Data lakehouse architectures are gaining popularity due to the flexibility and cost effectiveness that they offer. The link that bridges the gap between data lake and warehouse capabilities is the catalog. The primary purpose of the catalog is to inform the ... Show More

40m 55s

Feb 2023

#125 Building Trust in Data with Data Governance

Perhaps the biggest obstacle to establishing a data culture is building trust in the data itself, making it vital for organizations to have a robust approach to data governance to ensure data quality is as high as possible.Enter Laurent Dresse, Data Governance Evangelist and Dire ... Show More

41m 20s

Apr 2024

Establish A Single Source Of Truth For Your Data Consumers With A Semantic Layer

<h2>Summary</h2> <p>Maintaining a single source of truth for your data is the biggest challenge in data engineering. Different roles and tasks in the business need their own ways to access and analyze the data in the organization. In order to enable this use case, while mainta ... Show More

56m 23s