Hello all,First time poster here! I would like peoples opinions here. I am collecting daily stock data for the past 10yrs (so approximately 2500 rows of data which is not significant), however I have over 200 stocks (will grow to 1000 over time possibly) with about 30 individual fields per stock. So we are talking about a table that has originally 6000 columns that grows to have over 30000 columns one day, but more appropriately perhaps only 6000-10000 columns to start with. I recognise that an SQL database may not be the best approach, there are many 'big data' programs like mongodb, hadoop etc however I never used them (only SQL)Can anyone shed some light on the best way to store this in SQL. I know each table is limited to 1024 columns, do people suggest I break this into possibly 10+ separate tables?Looking forward to opinions
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