How to build an automated data ingestion pipeline: a CloverDX case study
When your business is built on ingesting data from many customers, in many different formats, how do you scale up the volume of data and clients you can support – without adding headcount?
By automating the process of data ingestion you can reduce developer spend, create templates that you can leverage at scale, and provide a faster and more reliable service to your customers.
In this live demo session, we’ll show you exactly how one CloverDX customer did just that.
You'll learn:
- How you can create and orchestrate a data ingestion pipeline in CloverDX
- How to use CloverDX Jobflow to orchestrate all the jobs you need to monitor and successfully ingest your data
- How to handle data loading errors so they don’t derail your process
- Some best practices to use for building your data ingest process
We’ll have a Q&A session at the end too where you can ask our Director of Sales Engineering any questions you have.
If you can’t make it live, don’t worry, sign up anyway and we’ll send you the recording.
Kevin Scott's long running tenure with CloverDX includes numerous complex data consultancy projects and working with fresh customers and helping them succeed on their journey.
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.