Sql server data profiler download

You get the XML Showplan using this option. As shown above, you can view the execution plan in both the graphical as well as in XML plan. Look out the operators in the execution plan and troubleshoot the issue. However, currently, in a preview state, we cannot define the custom template or events to capture the relevant data. This extension might get further enhancements in an upcoming release. Author Recent Posts.

Rajendra Gupta. For each column, show the name, data type, statistics, and more for a total of 19 properties. Display recommendations based on the data contained in a selected column. These recommendations refer to modifying the data type to accommodate the data better, handling sparse columns, migrating columns to reference or lookup tables, adding foreign key constraints, and more for a total of 37 recommendations.

Profile the distribution of the values in each column. For a selected column, display the list of unique values, their count, and their relative occurrence. Save the chosen settings and options, and the results of the profiling to a tab-delimited plain text file. Import this file into applications such as Microsoft Excel with minimal user interaction. Join our email list and receive the latest case studies, event updates, product news, and much more.

The Data Profiling task provides data profiling functionality inside the process of extracting, transforming, and loading data. By using the Data Profiling task, you can achieve the following benefits:. It does not work with third-party or file-based data sources. Data quality is important to every business. As enterprises build analytical and business intelligence systems on top of their transactional systems, the reliability of key performance indicators and of data mining predictions depends completely on the validity of the data on which they are based.

But although the importance of valid data for business decision-making is increasing, the challenge of making sure of this data's validity is also increasing. Data is streaming into the enterprise constantly from diverse systems and sources, and a large numbers of users.

Metrics for data quality can be difficult to define because they are specific to the domain or the application. Key Features include: Monitor the trace results as the trace runs. Events sorting and grouping. Start, stop, modify the trace results as necessary. Multiple event profiling templates.