Ascend.io

OCTOBER 25, 2023

This means not only understanding where you stand, but also recognizing how the evolving patterns in the broader industry might align with or diverge from your own data programs. Over the past four years, we have conducted an industry-wide DataAware Pulse Survey to capture the current state of data teams.

Data Programming 52

Data Programming Data Engineer Data Engineering Programming 52

Cloudera

SEPTEMBER 15, 2022

The consumption of the data should be supported through an elastic delivery layer that aligns with demand, but also provides the flexibility to present the data in a physical format that aligns with the analytic application, ranging from the more traditional data warehouse view to a graph view in support of relationship analysis.

Data Lake 82

Data Lake Analytics Application Cloud Storage Architecture 82

Data Engineering Podcast

OCTOBER 28, 2019

In an effort to create a better abstraction for building data applications Nick Schrock created Dagster. 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.

Building 100

Building Data Pipeline Programming Language Metadata 100

Data Engineering Podcast

NOVEMBER 4, 2019

Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo! and Facebook, scaling from terabytes to petabytes of analytic data. He started Datacoral with the goal to make SQL the universal data programming language. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo!

Programming Language 100

Programming Language Kafka Data Engineer Data Engineering 100

Data Engineering Podcast

OCTOBER 21, 2019

Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo! and Facebook, scaling from terabytes to petabytes of analytic data. He started Datacoral with the goal to make SQL the universal data programming language. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo!

Cloud 100

Cloud Hadoop Data Lake Programming Language 100

DataKitchen

MAY 10, 2021

The fourth phase involves ensuring “that your IDB processes and applications are based on a scalable, future-proof, and discoverable data architecture, such as a data fabric ,” and data mesh. Your DataOps practice, established in the second phase provides a solid foundation for your successful Data Fabric or Data Mesh.

Machine Learning 52

Machine Learning Data Science Data Architecture Government 52

Data Engineering Podcast

OCTOBER 7, 2019

Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo! and Facebook, scaling from mere terabytes to petabytes of analytic data. He started Datacoral with the goal to make SQL the universal data programming language. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo!

Structured Data 100

Structured Data Cloud SQL Programming Language 100