Ascend.io

APRIL 22, 2024

This initiative is more than just an upgrade; it’s a reimagining of what a Data Automation Platform can be: dynamic, extensible, and highly intelligent. A unified platform that combines a powerful metadata core, an extensible plugin architecture, DataAware automation, and multiple AI Assistants.

Project 52

Project Metadata Data Pipeline Data Engineering 52

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 Metadata 100

Knowledge Hut

MAY 9, 2024

Data science is an interdisciplinary academic domain that utilizes scientific methods, scientific computing, statistics, algorithms, processes, and systems to extrapolate or extract knowledge and insights from unstructured, structured, and noisy data. Average Annual Salary of Data Modeler A data modeler can earn $126,811 annually.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

Data Engineering Podcast

OCTOBER 14, 2019

Dataform is a platform that helps you apply engineering principles to your data transformations and table definitions, including unit testing SQL scripts, defining repeatable pipelines, and adding metadata to your warehouse to improve your team’s communication. This week’s episode is also sponsored by Datacoral.

Data Warehouse 100

Data Warehouse PostgreSQL AWS Programming Language 100

AltexSoft

OCTOBER 30, 2021

This whole process of making sense of data is known under the broad term of data science. Data science is a discipline that encompasses all knowledge, methods, and technologies that help us extract value from data.The term “data science” first started to take shape in the 1970s. Managing data and metadata.

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. Enter Monte Carlo.

Data 40

Data Data Engineering Data Engineer Data Pipeline 40