DataKitchen

AUGUST 9, 2021

Below is our third post (3 of 5) on combining data mesh with DataOps to foster greater innovation while addressing the challenges of a decentralized architecture. DataOps Meta-Orchestration. It’s also very important to make domains composable and controllable, and these are two of the major value propositions of DataOps automation.

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Testing Data Lake Metadata Publishing 246

Ontotext

NOVEMBER 16, 2023

It’s a combination of implementation, organizational patterns, and a technology-agnostic set of principles. Data mesh is still in its infancy, and data personas and organizations are craving clarity and specificity. The debate on what constitutes a data mesh rages on. This becomes particularly problematic when dealing with veracity of data.

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Metadata Data-driven Data Quality Data Architecture 52

DataKitchen

APRIL 13, 2021

Download the 2021 DataOps Vendor Landscape here. Read the complete blog below for a more detailed description of the vendors and their capabilities. DataOps is a hot topic in 2021. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data.

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Testing Machine Learning Consulting Data Quality 307

Cloudera

JULY 26, 2021

Introduction. With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies.

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Strategy Marketing Unstructured Data Data Science 114

DataKitchen

JUNE 24, 2021

In May 2021 at the CDO & Data Leaders Global Summit, DataKitchen sat down with the following data leaders to learn how to use DataOps to drive agility and business value. DataOps is a Key Enabler of Business Agility. DataOps can mean different things to different organizations. Here’s a quick example.

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ROI Metrics Measurement Cost-Benefit 211