Alation

AUGUST 3, 2021

DataOps and DevOps are two distinctly different pursuits. But where DevOps focuses on product development, DataOps aims to reduce the time from data need to data success. At its best, DataOps shortens the cycle time for analytics and aligns with business goals. What is DataOps? What is DevOps?

DataOps 59

DataOps Data Pipeline Data Analyst Analytics 59

Iguazio

JULY 22, 2024

MongoDB for end-to-end AI data management MongoDB Atlas , an integrated suite of data services centered around a multi-cloud NoSQL database, enables developers to unify operational, analytical, and AI data services to streamline building AI-enriched applications.

AI 132

AI AI ML ML 132

IBM Journey to AI blog

SEPTEMBER 5, 2024

Metadata management tools Metadata management tools manage data about data, such as definitions, data models and relationships. These tools make metadata accessible, helping users understand and use data more effectively. DevOps and DataOps are practices that emphasize developing a collaborative culture.

Data Governance 75

Data Governance Data Quality DataOps Artificial Intelligence 75

phData

OCTOBER 16, 2023

Below are five of our most popular dbt resources: Is dbt a Good Tool for Implementing Data Models? Throughout our work, phData has boasted a 98 percent average renewal rate for phData Elastic Operations, DataOps, and MLOps. Best Practices: We want our clients to own their data and to take care of it.

DataOps 52

DataOps Data Modeling Data Models SQL 52

phData

OCTOBER 8, 2024

Throughout our work, phData has boasted a 98 percent average renewal rate for phData Elastic Operations, DataOps, and MLOps. Here’s a closer look at how we do it: Data Strategy: Our team identifies the best-suited technology stack for each client, creating an actionable data strategy roadmap.

DataOps 52

DataOps Data Modeling Data Models SQL 52

DataRobot Blog

SEPTEMBER 13, 2022

Platforms like DataRobot AI Cloud support business analysts and data scientists by simplifying data prep, automating model creation, and easing ML operations ( MLOps ). These features reduce the need for a large workforce of data professionals. Driving Innovation with AI: Getting Ahead with DataOps and MLOps.

Data Scientist 52

Data Scientist ML ML AI 52

phData

MAY 11, 2023

Practices centered on software engineering principles can create a barrier to entry for teams with skilled data wranglers looking to take their infrastructure to the next level with cloud-native tools like Matillion for the Snowflake Data Cloud. Data is extracted from a Source System and loaded into Snowflake.

ETL 52

ETL Analytics Analytics Data Modeling 52