Data Engineering Podcast

OCTOBER 28, 2019

In this episode he explains his motivation for creating a product for data management, how the programming model simplifies the work of building testable and maintainable pipelines, and his vision for the future of data programming. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo!

Building 100

Building Data Pipeline Programming Language Kafka 100

Data Engineering Podcast

OCTOBER 7, 2019

They provide an AWS-native, serverless, data infrastructure that installs in your VPC. Datacoral helps data engineers build and manage the flow of data pipelines without having to manage any infrastructure. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo!

Structured Data 100

Structured Data Cloud SQL Programming Language 100

Data Engineering Podcast

OCTOBER 14, 2019

They provide an AWS-native, serverless, data infrastructure that installs in your VPC. Datacoral helps data engineers build and manage the flow of data pipelines without having to manage any infrastructure. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo!

Data Warehouse 100

Data Warehouse PostgreSQL AWS Programming Language 100

Data Engineering Podcast

NOVEMBER 4, 2019

This week’s episode is also sponsored by Datacoral, an AWS-native, serverless, data infrastructure that installs in your VPC. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo! Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo!

Programming Language 100

Programming Language Kafka Data Engineering Data Engineer 100

AltexSoft

OCTOBER 30, 2021

They’re integral specialists in data science projects and cooperate with data scientists by backing up their algorithms with solid data pipelines. Juxtaposing data scientist vs engineer tasks. One data scientist usually needs two or three data engineers. Programming. Programming.

Data Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98

Monte Carlo

JUNE 17, 2021

The challenge: building trust and empowering self-serve data “As we’re migrating trusted on-premises systems to the cloud, the users of those older systems need to have trust that the new cloud-based technologies are as reliable as the older systems they’ve used in the past,” said Edward. Today, Edward and his team have a robust data stack.

Data 40

Data Data Engineering Data Engineer Data Pipeline 40