 |
When you have large data sets with hundreds of millions or billions of records, ingesting that data efficiently can be a challenging feat. In many cases, these data sets may be loaded on a nightly schedule. Your nightly data ingestion pipeline must be complete within a certain time frame to avoid negatively impacting your downstream processes or analyses. So, what can you do when a job you are running each night grows too large to be processed in your time frame? How can you better manage the ingestion of these large datasets? |
