Systems | Development | Analytics | API | Testing

In the life sciences industry, where breakthroughs in research and healthcare are fueled by data, data silos can be a big problem. Data silos might be caused by things like legacy systems, departmental divisions, disparate data formats, or lack of interoperability standards. Data silos can manifest at any point in the product lifecycle and make it hard for the right people to access and use the information they need, when they need it.

Jumpstart the development of your context layer, and enable agents to reason across your entire business and provide trustworthy outputs.

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.