data pipeline
How Tinuiti meets the data demands of digital marketing
Learn how the largest US independent performance marketing company manages nearly $3 billion in media spend for its clients.
How to build a data foundation for generative AI
GenAI depends on data maturity, in which an organization demonstrates mastery over both integrating data – moving and transforming it – and governing its use.
Five key attributes of a highly efficient data pipeline
Not all ELT solutions are created equal. Here are the capabilities your tool needs to efficiently move data.
How HubSpot’s analytics engineering team gained pipeline autonomy
Learn how Oviya Arasu and her team at HubSpot use Fivetran data models and Transformations for dbt Core™ to automate their pipelines and decrease engineering bottlenecks
Replacing iPaaS workflows with warehouse-centric data pipelines
Welcome to the data movement movement. Use Fivetran and Hightouch to replace your existing iPaaS workflows and build warehouse-centric data pipelines.
Cost-effective ELT: Four factors to consider
From DIY opportunity cost and pipeline maintenance to moving and transforming data, here’s how to judge the cost-effectiveness of ELT.
Why context is key to building reliable data pipelines
The data catalog is a critical step in the movement toward becoming a data-driven business. Here are 4 table-stakes questions to ask yourself to deliver reliable, trusted data.
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Active metadata: Open the black box of your data pipelines
Data integration pipelines supply valuable data from producers to consumers, but even the best pipelines can break. Now what?
10 data pipeline challenges your engineers will have to solve
When choosing to build or buy, consider whether the following challenges are worth the squeeze.
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