Beyond centralization: Why APAC retail and CPG teams need activation
Centralizing data builds the foundation, but activating trusted data across operational systems will drive the next wave of growth in APAC.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
8 Data Integration Platforms for Lending and Credit Fintechs (2026)
Lending and credit fintechs sit at the intersection of two hard problems: moving sensitive financial data fast enough to make timely credit decisions, and keeping that data secure enough to satisfy regulators, auditors, and enterprise security teams. The platforms that work for this use case share three traits. They replicate data with latency low enough to feed risk scoring models.
From Backlog to Breakthrough: Inova Scales Data & AI with Fivetran and Databricks
Healthcare organizations operate some of the most complex data environments, spanning thousands of systems across clinical, financial, and operational domains. At Inova Health, this complexity created an opportunity to rethink how data could better support analytics and AI at scale.
Building an AI-ready data foundation at Superhuman with Databricks and Fivetran
As Superhuman expanded its AI platform across Grammarly, Coda, Superhuman Mail, and Superhuman Go, more of the business began to rely on timely data from Salesforce, Outreach, Pardot, Stripe, Zendesk, Qualtrics, and other third-party systems. The challenge went far beyond moving data into Databricks. Go-to-market, finance, and customer teams needed faster, reliable access to trusted data without turning every new data request into weeks of custom engineering.
Open Data Infrastructure: Built for agentic AI
As AI accelerates the pace of change, demanding fresher data, diverse formats, and support across multiple engines, many teams discover their infrastructure was built for reporting, not real-time AI at scale. Open Data Infrastructure is redefining how organizations design for analytics, operations, and AI. By leveraging Fivetran as an interoperable data foundation, organizations can embrace open standards, separate storage from compute, and keep data portable across clouds and engines, preserving adaptability while scaling AI and operational workloads with Databricks.
What is Debezium? Understanding CDC architecture and how it works
Learn what Debezium is, how its CDC architecture and connectors support MySQL and SQL Server, and which of the three deployment modes fits your pipeline.
You can't build AI in a walled garden
As software vendors place more controls around data access, enterprises must decide whether their future AI capabilities will be defined by their strategy or their vendors' policies.
AI can build your data connector. Here's what it can't do.
You will still need to solve many last-mile problems to make them production-ready. We can help.
How Agents Schema brings trusted business context to AI
Explore the architecture, open standards, and semantic layer that give AI agents access to accurate, reusable business context.
How Vehicle Wrap Design Software Integrates With Business Operations
Vehicle wrap businesses manage a surprisingly complex set of moving parts, from client briefs and design revisions to material procurement, installation scheduling, invoicing, and real-time job tracking. The software used to create wrap designs sits at the center of this workflow, and whether it integrates with the rest of the business often determines how efficiently projects move from concept to completion.