Systems | Development | Analytics | API | Testing

Learn how dbt helps APAC retail and CPG teams test, govern, and trace their data before it drives critical inventory, promotion, and reordering decisions.

Automate the way you use data to understand customers, predict demand, and optimize supply chains.

Six ways Open Data Infrastructure removes friction from your workflows.

Write pipeline output directly into Databricks tables, with staging and load handled automatically, so lakehouse teams skip the intermediate warehouse hop and get data where it belongs, without maintaining a manual copy step. Databricks has become the default lakehouse for teams that need one place to store, process, and query data at scale, from raw event logs to curated tables used for BI and machine learning.

We thought the lemon had no more juice. AI proved us wrong.

The CDO’s job can be boiled down to ensuring data access, building innovative data products, and managing data responsibly.

We were asked to make Fivetran faster than we thought possible.

A few simple calculations illustrate why it's ill-advised to build your own data pipeline.

The destination determines how easily data can be governed, queried, activated, and reused across analytics, AI, and business operations — making it one of the most important decisions in your data architecture.