Data Infrastructure Basics

Piotr Sidoruk

Chapter Chapter 3 in From Data to Dollars, 2026, pp 71-125 from Springer

Abstract: Abstract As your startup gains momentum and begins attracting industry attention, a curious phenomenon unfolds: your inbox becomes a battleground for consultants and tech vendors claiming to have the solution perfect for your data needs. They’ll dazzle you with sleek dashboards, cutting-edge AI tools, and promises of scalability—all at a premium price. But here’s the hard truth: no external party understands your business like you do. I’ve witnessed startups hemorrhage cash on over-engineered systems that ignored their unique constraints, team skills, or industry realities. Worse, I’ve been on the other side—working for a tech giant, selling analytics software with the urgency of a sidewalk salesman. A skilled seller can convince you that your startup needs tools it absolutely doesn’t, leaving you with costly, inflexible baggage.

Date: 2026
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:979-8-8688-1898-1_3

Ordering information: This item can be ordered from
http://www.springer.com/9798868818981

DOI: 10.1007/979-8-8688-1898-1_3

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().