#564: [INTRODUCING] Amazon Athena for Apache ...

In this episode, Jillian speaks with Cohere Health®, a clinical intelligence company focused on strengthening payer-provider collaboration as well as improving the speed and accuracy of clinical decision-making, both pre- and post-care. The company’s clinically trained AI helps a ...  Show more

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

In this episode I speak about data transformation frameworks available for the data scientist who writes Python code. The usual suspect is clearly Pandas, as the most widely used library and de-facto standard. However when data volumes increase and distributed algorithms are ...

Ion Stoica is co-creator of the distributed computing frameworks Spark and Ray, and co-founder and Executive Chairman of Databricks and Anyscale. He is also a Professor of computer science at UC Berkeley and Principal Investigator of RISELab, a five-year research lab that develop ...  Show more

<div class="wp-block-jetpack-markdown"><h2>Summary</h2>

A large fraction of data engineering work involves moving data from one storage location to another in order to support different access and query patterns. Singlestore aims to cut down on the number of database engines ...

In this episode, Dave and Emily chat with Lynn Langit, a Cloud Architect, Teacher, and AWS Data Hero. Lynn walks through her journey to the cloud, understanding the need for different types of data, gives an excellent overview of the different AWS Data Services, and how you can g ...  Show more