Home·Articles

Field notes from the road.

In-house writing on contracts, lineage, and governance, alongside curated posts from the vendors we build on.

Featured
3 promoted
Platform·April 14, 2026
Introducing Causeway: the paved path for our data creators

A first look at why we are building Causeway, what it replaces, and the operator principles that will shape every release.

Architecture·April 04, 2026
Beyond basic files: why a lakehouse contract beats a CSV on a share drive

Shared folders have carried us this far. They will not carry us any further. A case for contract-first datasets as the new default unit of work.

Engineering·March 29, 2026
Promoting a dataset from Silver to Gold: a contract-first playbook

The exact freshness, quality, and retention checks we run before a dataset earns the Gold pill, and why we refuse to ship without them.

Source
All (13)Causeway (13)External (0)
13 items
CausewayArchitectureApril 20, 2026

Beyond the banks: activating your data lake with Lakeshore Applications

Storing data delivers no value on its own. Lakeshore Applications operate at the perimeter of your data lake, converting stored bytes into decisions, analytics, and product surfaces.

CausewayEngineeringApril 20, 2026

Consider the terrain: common challenges in modern data systems

Engineers who anticipate common failure modes build more resilient infrastructure. Engineers who do not discover those failure modes in production.

CausewayEngineeringApril 20, 2026

How data pipelines work: architecture, patterns, and design

Raw data arrives in chaotic formats from dozens of sources. Structured insights power decisions. The pipeline bridges that gap by automating movement and transformation from origin to destination.

CausewayArchitectureApril 20, 2026

The best of both worlds: the rise of the lakehouse

Data lakes stored cheap, diverse data. Warehouses delivered the structure and performance analytics demanded. The lakehouse architecture merges both into a single platform without forcing a trade.

CausewayArchitectureApril 20, 2026

Dive into Caspian: understanding the modern data lake concept

Organizations generate data at accelerating rates and need robust systems to store, manage, and analyze it. Caspian is an illustrative concept for what a modern data lake looks like when it is built to last.

CausewayData ManagementApril 20, 2026

Beyond basic files: Parquet, Delta Lake, and Iceberg

Raw file storage alone fails to deliver analytical value. Parquet, Delta Lake, and Iceberg fill the gap at different layers of the stack, each doing one job well.

CausewayPlatformApril 20, 2026

Causeway: a federated data cloud powered by Caspian

Centralized architectures buckle under the scale and diversity of modern data. Causeway takes a federated approach, treating each business domain as an autonomous territory connected by a paved road.

CausewayData ManagementApril 20, 2026

Unpacking the Unseen: How Metadata Powers Your Data World

Explore the critical role of metadata in understanding, managing, and utilizing information effectively in data-driven systems.

CausewayPlatformApril 14, 2026

Introducing Causeway: the paved path for our data creators

A first look at why we are building Causeway, what it replaces, and the operator principles that will shape every release.

CausewayArchitectureApril 04, 2026

Beyond basic files: why a lakehouse contract beats a CSV on a share drive

Shared folders have carried us this far. They will not carry us any further. A case for contract-first datasets as the new default unit of work.

CausewayEngineeringMarch 29, 2026

Promoting a dataset from Silver to Gold: a contract-first playbook

The exact freshness, quality, and retention checks we run before a dataset earns the Gold pill, and why we refuse to ship without them.

CausewayArchitectureMarch 21, 2026

Semantic lineage over the lake: tracing meaning, not bytes

Bytes-level lineage lies. Here is how Causeway reconstructs intent across dbt models, Snowflake views, and downstream metrics.

CausewayGovernanceMarch 04, 2026

Classification standards that do not rot: RAG the whole way down

Restricted, Internal, Public: three tiers, one masking policy each. Why fewer rules, applied harder, beats a taxonomy.