http://blog.tanelpoder.com/files/Tanel_Poder_Drilling_Deep_Into_Exadata_Performance.pdf
Exadata’s “secret sauce” for different workloads
“DW / Reporing”
• Long running SQL statements
• Executed less frequently
• Secret Sauce: Smart Scans + Offloading + Storage Indexes
• SQL statements should use full table scans + hash joins
“OLTP”
• Short SQL statements
• Executed very frequently
• Secret Sauce: Flash Cache
• SQL & performance tuning is the same as usual!
Using the Python oracledb Driver to extract data to a Pandas DataFrame
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My video demonstration on using python-oracledb to extract data from an
Oracle Database and read it into a Pandas Dataframe
The main documentation pag...
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