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How do you maintain an organizational focus on performance improvement What approaches do you use to systematically evaluate and improve key processes and to foster organizational learning and knowledge sharing How do you measure product and process quality What processes do you have in place to evaluate root cause and improve performance At what rate is your operations performance in quality, cost, cycle time, and profitability improving annually How do you maintain an organizational focus on customer satisfaction What processes do you have in place to improve customer satisfaction How do you evaluate employee job satisfaction What processes do you have in place to initiate steps to improve employee morale Overall

the data types do not match, the DBMS must convert one of them before performing the comparison, and while the work to do this is relatively small, it mounts quickly when it has to be done for each row in a large table Use IN instead of OR when possible The IN operator can be rewritten as a JOIN, but the OR operator often requires multiple queries to be run with the results combined by the DBMS The former is far more ef cient Use GROUP BY instead of DISTINCT In most DBMSs, a GROUP BY is a more ef cient way to eliminate duplicate rows compared with the DISTINCT keyword.

The reason for this is that a GROUP BY invokes the sort required to nd the duplicates earlier in the processing of the query, while a DISTINCT applies the sort as the very last step (applied to the nal result set) The sooner the duplicate rows are eliminated, the more ef ciently the remainder of the processing on that result set can be performed Use hints if you must Hints are special syntax that can be placed in the SQL statement to direct the optimizer to take certain actions, such as forcing the use of a particular index or a particular method to join tables While this can be a very attractive option, it should only be used as a last resort because hints are not portable across database vendors, and they sometimes stop working when the DBMS software is upgraded to a newer version.

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The Oracle, MySQL, and Microsoft SQL Server optimizers all respond to hints, but the syntax accepted by each is different Temporary tables may help Temporary tables can help in some situations, such as assembling large result sets and then adding an index or two to support multiple subsequent queries against the temporary table However, remember that you re doubling up the reads and writes when you do this because all the data selected from the original (base) tables must be written to the temporary table(s) and then read back from there In short, there are no free lunches Views may help Views can help because they hide complex operations such as nested aggregate functions.

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And with DBMSs that don t have an SQL statement cache, views may process more ef ciently than ordinary queries because the SQL statement that de nes the view has already been parsed and optimized, which means this work does not have to be done every time the view is accessed But above all, remember that views are also SQL queries, so they are subject to all the tuning considerations you apply to any SQL statement..

Indexes can greatly improve data access times However, always keep in mind that indexes take up storage space and they have to be maintained Here are some considerations related to the use of indexes to improve query performance: Avoid indexes on frequently updated columns Creating an index on a column that is frequently updated doubles up the amount of writes required when the column is updated Always remember that when column data is updated, the DBMS must also update any indexes that include that column Create only selective indexes Index selectivity is a ratio of the number of distinct values a column has divided by the number of rows in a table For example, if a table has 1000 rows and a column has 800 distinct values, the selectivity of the index is 08, which is considered good.

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