As the need for greater interactivity and data access increases, more and more companies are making the move to adopt cloud computing. Microsoft is investing in and pushing customers towards its cloud ERP offering, Dynamics 365 Business Central (BC), which is experiencing a staggering 200% annual growth rate. But the significant hurdles posed by cloud migration can make it a daunting task to consider.
Whether they know it or not, every company has become a data company. Data is no longer just a transactional byproduct, but a transformative enabler of business decision-making. In just a few years, modern data analytics has gone from being a science project to becoming the backbone of business operations to generate insights, fuel innovation, improve customer satisfaction, and drive revenue growth. But none of that can happen if data applications and pipelines aren’t running well.
BigQuery's Remote Functions (in preview) make it possible to apply custom cloud functions to your warehouse without moving data or managing compute. This flexibility unlocks many use cases including data enrichment. In this post we demonstrate a pattern for combining BigQuery with the Google Maps API to add drive times to datasets containing origin and destination locations. This enrichment pattern is easily adapted for address geocoding or adding Google Map's place descriptions to locations.
With Fivetran webhooks, developers can use real-time messages to power user experiences, transform data, drive error alerting and more.
