How to Build Data Products

When you identify the need to build a data product, the first step is to specify the requirements. Instead of starting from scratch, you can leverage generative ...

5 Key Pillars of Building Great Data Products - Acceldata

The five pillars of building data products: data quality, user-centric design, scalability, security, and insights. Continue reading to explore.

Introducing Data Products to Deliver Better Value from Data

This approach should improve the full data lifecycle, including knowing what data exists, where it is, how to access it, and how to understand ...

What is a Data Product?

It uses data technologies to store and process large data sets, often millions of entries and more. The size of a data product is designed to cover coherent ...

Data Product Pyramid - Dataception

A solid Data Product Foundation provides the necessary technological and organizational infrastructure to develop, deploy, and manage Data Products efficiently.

5 best practices for effective data product management - Lumenalta

To ensure that the data solution remains true to the strategic vision, it's important to create visibility with stakeholders even without a ...

Build Data Products and a Data Mesh with dbt Cloud

Each step of the guide will learn how to use features of both Snowflake and dbt Cloud to achieve building data products.

How to Build a Great Data Product? - Asena Atilla Saunders - LinkedIn

Building a powerful data product requires a great collaborative effort from multiple industry experts –business analysts, platform and data ...

Understanding Data Products: A Comprehensive Guide | Integrate.io

The first and most important consideration is to create data products that understand the needs and challenges of the business. This process ...

What Are Data Products and Why Do They Matter? - DATAVERSITY

Data products are software in the form of specialty tools and apps that are designed to support data used as a service.

Data product examples | dbt Labs

Attributes of data products · Discoverable. It should be easy to find - e.g., via registration in a data catalog. · Addressable. It has a unique, ...

How to Build a Data Platform as a Product: A Retrospective

This article serves as a guide to data platform teams at any stage of their “product orientation” and contributes to the emerging space of “data as a product".

What Is A Data Product? - Forbes

Data products are defined as live, refined, fully governed and ready-to-use data assets that are instantly discoverable, contextualized, trustworthy and ...

Data Product Development - Explanation & Examples - Secoda

Data product development, or DPD, is the process of creating and deploying products that leverage data to deliver value to users.

Data products: how to get more value from enterprise data

The 'data as a product' approach borrows a simple principle from product thinking: start with a need, and then work backwards. In essence, if ...

How Data Products Build a Data-Driven Organization - Revelate

By providing organizations with access to information such as metadata and dataset instances, data products help organizations make strategic ...

Data as a Product - Nexla

Nexla connects to your data sources – files, databases, APIs, streams, etc., – and automatically generates data products. Data users can discover, create, and ...

Creating a data product focused data strategy - Oakland

In fact, the most successful companies will think about the problem first and work to build a solution to that problem. Data Products are no ...

Data Products - DataHub

Then navigate to the Data Products tab on the Domain's home page, and click '+ New Data Product'. This will open a new modal where you can configure the ...

How to Design and Build a Data Platform - Product Coalition

The Goal of a Data Platform. Every company, small or large, needs a data platform to manage the ingestion, storage, transformation and ...