First I thought I'd found the Loch Ness Monster...turns out to be Nessie instead. 🦕

Project Nessie: Transactional Catalog for Data Lakes with Git-like semantics
"Nessie is to Data Lakes what Git is to source code repositories..."

https://projectnessie.org/

#ProjectNessie #LochNessMonster #DataEngineering #DataLake

Project Nessie: Transactional Catalog for Data Lakes with Git-like semantics

Project Nessie is a cloud native OSS service that works with Apache Iceberg to give your data lake cross-table transactions and a Git-like experience to data history.

Then, under a program called #ProjectNessie, Amazon jacked up the prices of those products, knowing that as soon as they raised the prices on Amazon, the prices would go up everywhere else, so Amazon wouldn't lose customers to cheaper alternatives. That scam made Amazon at least a billion dollars:

https://gizmodo.com/ftc-alleges-amazon-used-price-gouging-algorithm-1850986303

This is a great example of how enshittification - rent-seeking on digital platforms - is different from analog rent-seeking.

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FTC Alleges Amazon Used a Price-Gouging Algorithm

Jeff Bezos’s e-commerce giant allegedly manipulated prices to the tune of $1 billion, but Amazon refutes that was the true purpose of 'Project Nessie.'

Gizmodo

When a corporation can hide evidence and testimony from the public and the press, it gains broad latitude to dispute critics, including government enforcers, based on evidence that no one is allowed to see, or, in many cases, even *describe*. Take #ProjectNessie, the program that the #FTC claims Amazon used to compel third-party sellers to hike prices across many categories of goods:

https://www.wsj.com/business/retail/amazon-used-secret-project-nessie-algorithm-to-raise-prices-6c593706

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WSJ News Exclusive | Amazon Used Secret ‘Project Nessie’ Algorithm to Raise Prices

The strategy, as described in redacted parts of FTC lawsuit, is part of agency’s case that Amazon has outsize influence on consumer prices

WSJ
A Murder Story: Whatever Happened to Interoperability? - The American Conservative

Tech companies once dealt with competitors by attempting to develop superior products. Then they discovered they could simply buy them.

The American Conservative

"The #FTC complaint redacted this information, but sources told the WSJ that #Amazon made 'more than $1 billion in revenue' by using #ProjectNessie, while competitors learned that 'price cuts do not result in greater market share or scale, only lower margins,'...

'As a result, Amazon has successfully taught its rivals that lower prices are unlikely to result in increased sales—the opposite of what should happen in a well-functioning market,'..." https://arstechnica.com/tech-policy/2023/10/report-amazon-made-1b-with-secret-algorithm-for-spiking-prices-internet-wide/ v @arstechnica #monopoly

Report: Amazon made $1B with secret algorithm for spiking prices Internet-wide

Report reveals details about Amazon's secret algorithm redacted in FTC complaint.

Ars Technica

The US Federal Trade Commission (FTC) has alleged that Amazon used an algorithm called "Project Nessie" to test how high it could raise prices before being undercut by competitors. When competitors didn't match Amazon's price hikes, the company would automatically return prices to their previous lower level, the FTC claimed. Nessie was also used to discount goods, with Amazon offering discounts if competitors reduced prices. The FTC's suit alleges that Project Nessie extracted an excess of $1 billion from American households in "excess profit."

#Amazon #AntiTrust #FTC #ProjectNessie #USA #US #Business #Tech #TechBites

How to Implement Write-Audit-Publish (WAP)

How to implement Write-Audit-Publish (WAP) on Apache Iceberg, Apache Hudi, Delta Lake, Project Nessie, and lakeFS

Git for Data - lakeFS