Blogsby GlyphWhat is Open Data Infrastructure?
Learn what open data infrastructure is and how it improves the modern data stack. Explore key benefits, architecture, and the shift toward open standards.
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Fri Jul 3110 posts
Why Open Data Infrastructure matters for data access and control
Agentic AI puts new pressure on data access, making architectural flexibility and control more important than ever.
Why an Open Data Infrastructure means reliability and low cost
An open, unified data foundation is critical for reliably and cost-effectively supporting future data use cases, especially AI.
Modern data stack vs. Open Data Infrastructure
As organizations move from analytics to AI, the modern data stack breaks as tightly coupled, warehouse-centric architectures limit flexibility, interoperability, and scale.
Why every data role needs Open Data Infrastructure
Modern data teams work in fundamentally different ways, and your architecture needs to reflect that.
7 things data leaders need to know about Open Data Infrastructure
As AI scales and workloads become continuous, traditional architectures fall short, making Open Data Infrastructure a critical priority for data leaders.
Open Data Infrastructure keeps your options open
In fast-moving markets, interoperability means you’re never trapped by yesterday’s decisions.
An Open Data Infrastructure can be secure, too
How open standards give security teams more control, not less.
How to assemble your Open Data Infrastructure
A practical guide to building a governed foundation that can support diverse workloads without copying data into every tool.
Why you need to share data across tools
For humans and agents alike to use data effectively for future workloads, they need unified context, reduced friction, and flexibility.
Thu Jul 302 posts
How to access mainframe data stored in Db2 on z/OS
Automated data integration enables AI and analytics based on mission-critical operational data stored in IBM Z.
The “open” in Open Data Infrastructure means interoperability
Interoperability means the optionality to adapt to rapidly changing future demands.
Wed Jul 291 post
The winners of the Google Cloud rapid agent hackathon
From genomic medicine to ecommerce operations, these winning AI agents show what becomes possible when agents have access to trusted, real-time data.
Tue Jul 281 post
Data Lakehouse: What It Is, Benefits & Architecture
Learn what a data lakehouse is, its core architecture, and how it compares to data lakes and data warehouses to solve modern data challenges.
Sat Jul 251 post
New research: The high cost of stale ERP data
Global research reveals that 77% of enterprises lack real-time access to ERP data, leading to poor business outcomes and lost revenue.
Fri Jul 241 post
5 intelligent things Fivetran file connectors do automatically
Schema inference, metadata enrichment, primary keys, type detection, and schema evolution, the intelligence layer behind Fivetran's file connectors.
Thu Jul 231 post
Is your data stack ready for AI?
Most data stacks weren’t built for AI agents. Take the ODI Assessment to find out if yours is ready.
Wed Jul 2265 posts
Analytics Engineering with dbt: A FinTech application
With rapid growth comes real data organization problems. Check out this SCD session recap centering around a real-world application for dbt: How N26 leveraged dbt during times of hypergrowth.
The 5 SQL date functions biz ops teams need to know
Trying to figure out all the different SQL date functions out there? Follow a fictional company to learn 5 functions to help your business ops.
Build or Buy? 4 Reasons NOT to Build Your Own Reverse ETL
It's not the initial development cost, but rather the ongoing time and resources maintaining the tool that will cost you. Let’s take a look at some numbers.
How to Move Data from Snowflake to Pipedrive (with Examples)
Need to move data from Snowflake to Pipedrive? This is the trick to moving your data from one tool to another, with examples accompanied by screenshots.
Pipedrive API w/ Python tutorial: Contact records
Want to use Pipedrive as your sales CRM, but need to get data from other sources into it? You can hack it with the Pipedrive API and python.
How to add sparklines to Salesforce
Have you ever wondered if you could add sparklines to accounts in Salesforce to track your growth visually? Good news: You can. Here's a break down on a handy Salesfore feature: Image functions in formula fields.
DevOps vs. DataOps: Taking the Dev World into Data
DevOps, DataOps... What's the difference? Find out what framework you need and how you can use lessons from the dev world in the data universe.
Supercharging Databricks with AI Columns
Enhance Databricks data with AI Columns for better insights, enriched customer data, and streamlined data classification without complex code. Discover how AI transforms your data lake.
Maximize Your Revenue with PQLs: The Guide to SaaS Success
Explore how PQLs can transform your sales strategy and learn actionable tactics for leveraging your product data to supercharge your company's revenue.
Learn how to drive product-led growth with your RevOps data stack
RevOps and Data Leaders alike are thinking about how data can impact revenue. Learn how Apollo and Montreal Analytics leveraged PLG to maximize the impact of their operational tools (& drive revenue).
5 audiences every B2B marketer needs to be targeting
Discover the 5 essential audiences B2B marketers must target for success. Take your strategy to the next level with actionable insights and expert advice.
Why good data activation needs good data modeling
Learn why good data activation requires good data modeling. Discover actionable insights to optimize your data strategy and drive business growth.
Supercharge Salesforce with AI Columns
Unlock AI-powered insights in Salesforce by activating warehouse data with AI Columns in Fivetran Activations.
How to use the Fivetran total cost of ownership (TCO) calculator
Use our calculator to see how much time and money you can save using Fivetran.
Building AI-ready data pipelines with Snowflake and Fivetran
Enable teams to move from source systems to AI-driven insights without custom ingestion code or infrastructure management.
Audience Hub: Marketer-friendly features for audience activation
Empower every marketer to build, analyze, and activate precise audiences with a no-code, warehouse-native segmentation suite.
How Pleo achieved Customer 360
Pleo operationalized Customer 360 data in HubSpot without sacrificing governance or accuracy.
Get started with Iceberg without the brain freeze
How to build an interoperable storage layer on a data lake without ever learning iceberg.
Entering the agentic age: Don’t wait to get started
Delivering value now with data integration, the right data platform, and generative and agentic AI.
A blueprint for the modern, AI-ready lakehouse
Determine the exact data lakehouse capabilities you’ll need for your use case, and which vendors offer them.
The impact of Apache Polaris graduating to top-level Apache project
With top-level Apache status, Apache Polaris brings enterprise-grade governance and durability to the Apache Iceberg catalog layer powering modern data platforms.
Disposable software
As AI becomes more powerful and easier to use, more and more software will be built and consumed on the fly.
Governing your lakehouse with Fivetran Managed Data Lake Service
Lakehouse governance requires observability, access control, data lifecycle management, and more. Fivetran MDLS makes it easy.
2026 Fivetran Partner Awards: Powering customer success worldwide
Honoring the partners who help customers unlock greater value from their data alongside Fivetran.
Building scalable governance with Fivetran
Learn how roles, teams, workspaces, and organizations create scalable governance with Fivetran.
Why Fivetran uses Fivetran Activations
How Fivetran uses Activations internally to power integrations, operations, and product workflows.
The enterprise data infrastructure benchmark report 2026
A global benchmark of enterprise data integration spend and its impact on AI readiness and ROI.
AI’s biggest constraint isn’t models. It’s data reliability
Organizations with more reliable, automated data environments are nearly 2x more likely to exceed ROI expectations.
From Guidewire Cloud Access to analytics-ready data
Use Fivetran's Guidewire Cloud Data Access connector to turn raw cloud exports into governed, analytics-ready data without custom pipelines or ongoing maintenance.
Run local AI queries on your data lake with DuckDB and Claude
By combining Fivetran, DuckDB, Claude, and an MCP server with an open data infrastructure, you can enable conversational analytics and talk to your data.
How data access shapes AI agent performance
If you want your agentic AI projects to succeed, you must build a solid foundation of quality data integration, context, and governance.
Who really controls your data, and what rights do you have to it?
How SaaS data access restrictions can infringe on the freedom to use your data as you need it.
The business case for upgrading to a data lake
The future depends on a unified data architecture that can support everything from analytics and reporting to AI agents.
SAP's latest API policy raises the stakes for your AI strategy
What the new policy means, what it doesn't, and why Open Data Infrastructure matters more than ever.
How we accelerated transpilation by compiling SQLGlot with mypyc
It has never been faster or easier to translate between different SQL dialects so that you can use different query engines.
85% of enterprises are running agentic AI on a data foundation that isn't ready
Enterprises are pouring millions into agentic AI. New findings from Fivetran's “Agentic AI readiness index 2026” reveal why most won’t see the return.
How I used AI agents to optimize product operations
Conversational analytics leveraging Fivetran, Jira, and Claude saves analytical effort and boosts productivity.
3 ways Fivetran uses AI internally
How we built internal tools to boost productivity by using and embedding AI.
From data for humans to data for agents
Building the foundation for AI with Fivetran and Google Cloud.
Fivetran now available on Google Cloud in Saudi Arabia
Organizations can now use Fivetran on Google Cloud to keep data in-region while accelerating AI adoption.
How we transformed customer support with Fivetran-enabled AI
Customer relations excel when support teams can access knowledge at scale.
5 ways Fivetran powers healthcare data integration
From Epic EHR to HL7 files, EDI transactions, FHIR APIs, and secure on-premises data, Fivetran helps healthcare organizations unify fragmented systems into a governed, analytics-ready data foundation.
Fivetran + dbt: An open, agent-ready future for data teams
From dbt Core v2.0 to AI-powered connectors, Fivetran and dbt unveil joint product innovations that help data teams build open, scalable, AI-ready infrastructure.
The EU Data Act challenges SAP’s control over data
Regulation is pushing for openness, while platforms double down on control, and businesses are caught in between.
How to power AI agents with Fivetran and Google Cloud
See how Fivetran, dbt, and Google Cloud create the fresh, traceable, and well-governed data foundation AI agents need to deliver reliable business insights.
5 things you should do now to get AI ready before the competition
Learn how to quantify your data bottlenecks, centralize faster, build for agentic AI, ensure portability, and stay ahead of competitors.
How to connect Fivetran to any data source
Five paths give Fivetran the flexibility to connect virtually any data source, from SaaS applications and flat files to application databases, proprietary APIs, and real-time event streams.
5 reasons the Fivetran Salesforce connector just works
Discover what makes Fivetran's Salesforce connector the simplest way to move your entire Salesforce org into the warehouse without all the operational complexity.
5 more things Fivetran does with your files
Filtering, hybrid deployment, multi-format support, unstructured data, and extensibility for the messy formats enterprises actually use.
Minimizing churn before it happens with AI
How we utilized all of our customer data to identify churn trends and prevent future loss.
How to build your first AI agent
A step-by-step guide to laying the groundwork, choosing the right use case, and getting a practical start with AI.
Fivetran named 5x Leader in Snowflake's 2026 Modern Marketing Data Stack report
Fivetran earns its fifth consecutive Leader recognition in Snowflake's 2026 Modern Marketing Data Stack report for data integration and modeling.
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.
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.
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.
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.
AI requires unstructured data to unlock its full potential
Fivetran helps you turn unstructured data into rich context in several ways.
No walled gardens: Amazon reversed its Seller Partner API fees
Amazon’s recent pivot on the Selling Partner API is an encouraging reminder that developer pushback can breach walled gardens.
Introducing Fivetran for Db2 for z/OS and Db2 for LUW
Fivetran’s Db2 portfolio is now complete, bringing modern analytics to all Db2 users.
What is Debezium? 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.
How the Fivetran approach to data normalization cuts compute costs
Fivetran normalizes your data within our own VPC to reduce your consumption of data warehouse credits, support data stack efficiency, and save you costs
Fivetran vs. Hevo Data: Features, pricing, services and more
Choosing one over the other can come down to a few key differences. Let’s take a look at both to help you make an informed decision.
How do people use Snowflake and Redshift?
Ingestion and transformation are the primary workloads of real data warehouses.
5 ways Fivetran accelerates mergers and acquisitions
From identifying targets with proprietary market data to closing on time and separating cleanly in a divestiture, having all of your data in one place can make or break your M&A.