Systems | Development | Analytics | API | Testing

Data has become an incredibly powerful tool that helps brands streamline processes and improve customer services. To facilitate this, you will often need an API that moves data between applications without compromising the value of your information or creating vulnerabilities that can be exploited. Securing an API therefore becomes a crucial aspect of any data integration project. An API solution that meets security essentials will make it much more resistant to cyber threats.

Gartner recognizes Fivetran as the “vendor of choice” for enterprises looking to modernize their data infrastructure.

Data warehouses are a particular kind of database. Learn how they are uniquely suited to analytics.

HubSpot data becomes vastly more valuable when you can use it to build a comprehensive view of customer behavior.

You no longer need to coordinate with your administrator and manually translate formulas from Salesforce SQL to Standard SQL.

Monitor the number of surveys being created, track new responses coming in, see which surveys are generating the most responses, and more with Databox’s integration with SurveyMonkey.

Fivetran pipelines reliably load your data to your chosen destination, but then what? Without joining, filtering, and aggregating your data, your business can’t produce data models to answer critical business decisions. This is why data transformations are essential to every business looking to maximize value from the data they collect from disparate sources.

A French startup is leveraging its modern data stack to overturn a longstanding business model.

In the age of digital transformation, EDI (Electronic Data Exchange) technology is used to create new business information flows that never existed on paper. As the technology grows, companies need to incorporate more than traditional EDI standards. There are country-specific laws (HIPAA, GDPR, etc.), data collection and protection guidelines, privacy laws, business intelligence guides, and more.

Learn how dbt adds data modeling and transformation to the modern data stack.