Reliable Data Products & Efficient Data Meshes

Your path to scalable and reliable data product rollouts powered by reliability engineering and our
Digital Highway approach.

Realizing the full potential of data products and transforming your organization to leverage the data mesh concept successfully is challenging.

Let's go on a journey and learn about reliable and scalable data products together!

The following journey addresses engineers, product owners, decision-makers, and anyone who wants an overview to learn more about the best practices for implementing end-to-end data pipelines and rolling out data products in their organization. Throughout the journey, you will learn about the data mesh and data product methodology and terms, various roles and stages of the data product lifecycle. You will also learn about the Digital Highway for data and machine learning systems, our blueprint for reliable, scalable, and continuous delivery to generate sustainable value for data and AI products and services.

Introduction to Data Mesh & Data Products

Learn about the concept of a data mesh, one of its main building blocks, data as a product, and why you need a digital highway approach.

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Data Mesh Data Product Domain Ownership Data Reliability Engineering Data Contracts

Tech Guide: Data Contracts & Data Tests

Check out our technical guide on how to apply data contracts and data tests to ensure quality and scale your data products with confidence.

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Tech Guide Data Mesh Data Product Data Contracts Data Quality Testing

Data Reliability Engineering & Unified Analytics

Leverage reliability engineering best practices for data pipelines and successful DataOps, and think holistically about unified data analytics platforms.

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Data Engineering Data Pipelines Data Platforms Data Quality Assurance DataOps

Data Reliability Engineering & Unified Platforms

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The Digital Highway for Data & Machine Learning Systems

Discover the blueprint of a digital highway for data and machine learning systems, which incorporates all aspects above and visualizes an end-to-end approach for reliable and continuous data systems and machine learning delivery and operations.

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DataOps MLOps Data Pipelines Model Pipelines Code Pipelines Quality Gates & Automation Incident & Change Management Operational Data & AI Systems

The Digital Highway for Data & Machine Learning Systems

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