Earlier quoted context omitted.
Someone once suggested to me that 'big data' begins when it doesn't fit in RAM in a single rack any more.
Yup, that's essentially what looking that byte-size means. However, just because it doesn't fit in memory might not make it big data if it's just poorly engineered. But many times this happens because of wasted or bloated indexes that aren't useful. Or it happens when data types are picked incorrectly. For example, I once worked on a database where the original developer used Decimal(23, 0) as a primary key. This was…
Bwuh? Over in MS SQL you just go for an NVARCHAR and forget about it. What is the right way to store this data (if you really do need to store the JSON rather than just serializing it again when you get it out of the DB)