Data ingestion pipeline with built-in error handling

A step-by-step case study of a data ingestion pipeline built in CloverDX to onboard client data to a SaaS platform, with support for logging and retries of the ingest pipeline, so you can re-run easily (without needing the dev team). The pipeline in this case needed to: - Handle client data in a variety of formats - Land the data as it comes in to some staging table in a relational database - Handle ingestion without any knowledge of incoming file formats - Inspect incoming files and detect what the structure is - Use that structure to actually read and load the data into a data lake - And then make retries simple - if something fails, we can quickly make adjustments and re-run This clip is taken from a longer video: Making Data Ingestion Faster, More Reliable and Easier to Scale. Watch the whole video here: https://www.cloverdx.com/ty/webinar/data-ingestion-faster-more-reliable-easier-to-scale ** Read the related blog post: https://www.cloverdx.com/blog/making-data-ingestion-faster-more-reliable-and-easier-to-scale ** More on data ingestion with CloverDX: https://www.cloverdx.com/solutions/data-ingest/ ** Request a demo: https://www.cloverdx.com/demo/