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    Cardinality Estimator At the core of any query optimizer is the cardinality estimator.This looks at the statistics on the tables being queried and the operations being performed to estimate the number of rows for each step in the query’s execution plan.Our analysis of Page Compression has shown that using it can bring substantial benefits to Fast Stats People Stage and reduce the size of data and indexes by over 60%.There will be an additional CPU load to handle the compression/decompression but this is usually compensated for by the reduced I/O.These columns are referred to as SYSTEM_TIME period columns.These columns can be marked as HIDDEN to hide it from end users.

    When you create a table with the temporal feature or enable it for an existing table, you need to add two columns for recording start and end date (to define the period of validity for each record) with data type of .SQL Server 2016 introduces the temporal table (also known as ‘system-versioned’ temporal table) feature to store history of data changes in a table so that you can travel back in time and get the data that represents a past state in time.In the last article of the series, I discussed this new feature, how it works, considerations and limitations to keep in mind when using this new feature.Each time data access is performed from any tier, data access will be restricted by the SQL Server Engine, reducing the security system surface area.There are two types of security predicates that are supported in Row-Level Security; the Filter predicate that filters row silently for read operations.

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