modern data stack
How CIOs can drive AI success with a strong data foundation
Learn how to accelerate and ensure impactful AI initiatives by leading with optimal data strategies.
How to use Fivetran and Databricks to move data and innovate
Accelerate data movement into the Databricks Data Intelligence Platform to execute analytic workloads, AI and GenAI.
Implementing a data fabric: From silos to insights
Learn how a data fabric can add value by maximizing the value of a company’s data infrastructure.
Modern data architecture allows you to have your cake and eat it, too
How data technologies circumvent ugly tradeoffs and satisfy competing priorities.
Four approaches to data infrastructure modernization
As your organization’s data operations mature, you will need to upgrade your infrastructure to fulfill new needs and requirements
How data teams can jumpstart investment in data infrastructure
Whether your organization’s growth is led by product, marketing or sales, small proofs of concept can springboard you towards better data infrastructure
The modern data stack: How companies differentiate on data
How is the modern data stack evolving and what will it look like in the future? Experts from Andreessen Horowitz, Accenture and Fivetran weigh in.
Fivetran vs. Airbyte: 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.
Move data from nearly any SaaS app with Lite connectors
Customers can realize the same fully managed experience they have with our standard connectors and bring all their data into one platform.
It's time to ditch point-to-point data integration
A case for using the data warehouse as a middleman for all point-to-point integration workflows.
Building a scalable data stack: Three lessons from Backcountry
The outdoor gear retailer uses a modern data stack to overcome data silos, modernize legacy systems and improve customer experience.
Driving self-service analytics on the modern data stack
Fintech companies AJ Bell, OrderPay and Tide are blazing a path to better insights with a modern approach to data: self-service analytics.
The modern data warehouse: Benefits and migration strategies
Learn why migration will pay off — and how to make it easy.
Build vs. buy data pipeline: Four factors Autodesk considers
From cost-effectiveness to business value, here's what Autodesk prioritizes when deciding whether to buy or build data pipelines.
Five questions for MDSCon keynote speaker DJ Patil
What does it take to succeed in the world of data? We asked DJ Patil, renowned data scientist and keynote speaker at the 2023 Modern Data Stack Conference.
The benefits of working with Fivetran solution architects
Learn how Fivetran solution architects support customers with implementing robust and scalable data platforms.
Five reasons to attend Modern Data Stack Conference 2023
Join us in San Francisco on April 4 and 5 as we bring back the Modern Data Stack Conference for another amazing year.
What is data integration? Definition, benefits and more
Data integration is vital for businesses that want to improve their processes and customer experience. Learn more about how it can help your business.
Fivetran wins three major Partner of the Year awards
Google, Snowflake and Databricks recognize us for exceptional cloud data integration technology.
Why the modern retailer needs a modern data stack
A modern data stack, built on Fivetran and Google BigQuery, is fundamental to gaining the data visibility retailers need to deliver seamless personalized omnichannel experiences.
Fireside chat with industry pioneers: Bob Muglia and Ali Ghodsi
Tech leaders debate why SQL is the lingua franca of data analysis, the unbundling and rebundling of software and emerging trends in data governance within the modern data stack space.
What is the modern data stack?
A radically new approach to data integration saves engineering time, allowing engineers and analysts to pursue higher-value activities.
dbt explained
Learn how dbt adds data modeling and transformation to the modern data stack.
Why you should attend the Modern Data Stack Conference
Network with peers and industry leaders while learning how a modern data stack can transform your analytics program.
What is idempotence?
Idempotence is an important characteristic of many systems, including Fivetran. Here's what it means.
How no-code empowers non-engineers without sacrificing data and analytics
You don’t have to build all of the systems that support your business functions.
Use Fivetran to sync any unsupported source
Learn how Fivetran cloud function connectors can pull data when there is no prebuilt connector.
Why should your business move to the cloud?
Learn how data integration in the cloud offers savings, interoperability, flexibility, resilience and security.
Demand for data grows in agriculture
The modern data stack becomes critical as agribusiness looks to improve operations, stay competitive, and meet global demand.
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