Worst, company executive often sign deal with SaaS providers without really considering the data integration challenges. The integration workload is systematically downplayed by vendors to facilitate their sales, and leaves data engineers stuck doing unaccounted, under appreciated work to do. Let alone the fact that typical SaaS APIs are often poorly designed, unclearly documented and “agile”: meaning that you can expect them to change without notice.
that scale…alytics workloads typically associated with data warehouses, are less relevant than they once were. The traditional best practices of data warehousing are loosing ground on a shifting stack. Storage and compute is cheaper than ever, and with the advent of distributed databases that scale out linearly, the scarcer resource is engineering time.