Dataversity

NOVEMBER 15, 2021

DataOps is something that has been building up at the edges of enterprise data strategies for a couple of years now, steadily gaining followers and creeping up the agenda of data professionals. The number of data requests from the business keeps growing […].

DataOps 110

DataOps Analytics Analytics Data Quality 110

Alation

SEPTEMBER 28, 2022

What exactly is DataOps ? The term has been used a lot more of late, especially in the data analytics industry, as we’ve seen it expand over the past few years to keep pace with new regulations, like the GDPR and CCPA. In essence, DataOps is a practice that helps organizations manage and govern data more effectively.

DataOps 52

DataOps Data Pipeline Data Quality Analytics 52

Alation

OCTOBER 12, 2021

Enterprise data analytics integrates data, business, and analytics disciplines, including: Data management. Data engineering. DataOps. … In the past, businesses would collect data, run analytics, and extract insights, which would inform strategy and decision-making. Evaluate and monitor data quality.

Analytics 52

Analytics Analytics Data Governance DataOps 52

AWS Machine Learning Blog

JULY 31, 2023

Conclusion SageMaker Canvas provides powerful tools that enable you to build and assess the accuracy of models, enhancing their performance without the need for coding or specialized data science and ML expertise. He designs modern application architectures based on microservices, serverless, APIs, and event-driven patterns.

ML 98

ML ML Data Preparation Machine Learning 98