VERTICA as a Data Mesh

First defined in 2019, the Data Mesh has been implemented by many companies.
The data mesh is an operating model, for domain driven of data products, that embrace the ubiquity of data in the enterprise. It leverages a domain-oriented, self-serve design.

The main proposition is scaling analytical data by domain-oriented decentralization. Let’s explore what that means.

With a data mesh, the responsibility for analytical data, is shifted from the central data team, to the domain teams, supported by a data platform team, that provides a domain-agnostic data platform.
While legacy data integration tools require a centralized infrastructure, a data mesh operates across on-premises, single-cloud, multi-cloud, and hybrid environments.

Data mesh offers the capability to read and write diverse data types in a disparate data landscape.
And this is exactly what Vertica supports now.

We describe this data warehouse historic journey, not just to explain industry demands in the past, and changing modes of technology.
But also to recall how organizations spent their dollars, and how successful ones invest in technology, that is durable, and flexible enough, to adjust to changing needs over the years.

Vertica has proved to be a shining example of this durable, flexible technology.
Since Vertica was first founded in 2005, it has continued to align with all the technology trends in data analytics, and it has played a major role in the sciences of the industrial arts.

#database #datalake #datalakehouse #datamesh #dwh #datahub #vertica #analytics

Видео VERTICA as a Data Mesh канала Moshe