Data ingestion vs data integration - two terms that sound similar but actually have very important differences in the world of data engineering. The better you understand the nuances of these terms, the better equipped you’ll be to collaborate with teams across your organization, make improvements in your processes, and deal with vendors effectively.
Join us on this webinar to learn more about:
- What is data ingestion and when do we use this term?
- What is data integration and how different is it from ingestion?
- When is the right time to look for ways to automate “integration” or “ingestion”?
- How various tools can help with data ingestion and integration and to what extent (spoiler: there’s no silver bullet)
Pavel Svec has recently joined the Product Team after years of working with customers in the field on complex data projects. His tenure in product management reinforces CloverDX's focus on practical solutions to challenging data integrations tasks.
CloverDX has been working at the coalface of data challenges since 2007. We’ve worked with companies large and small around the world, in industries such as finance, healthcare and consulting, to help them build and manage better data pipelines and deliver better data outcomes.