I think these examples still loosely fits the author's argument:
> There are some cases where big data is very useful. The number of situations where it is useful is limited
Even though there are some great use-cases, the overwhelming majority organisations, institutions, and projects will never have a "let's query ten petabytes" scenario that forces them away from platforms like Postgres.
Most datasets, even at very large companies, fit comfortably into RAM on a server - which is now cost-effective, even in the dozens of terabytes.
> There are some cases where big data is very useful. The number of situations where it is useful is limited
Even though there are some great use-cases, the overwhelming majority organisations, institutions, and projects will never have a "let's query ten petabytes" scenario that forces them away from platforms like Postgres.
Most datasets, even at very large companies, fit comfortably into RAM on a server - which is now cost-effective, even in the dozens of terabytes.