what is difference between standard and data driven subscription in ssrs?
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There are two main flavors of SSRS Subscriptions: standard and data-driven. It should be noted that data-driven subscriptions are only available in Enterprise Edition. The main difference between them is that with data-driven subscriptions you can use a query as a source for the report parameters.
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['Data Class (system-inferred) – a system-defined semantic business use categories for the column.', 'Data Sub-Class (optional) – a user-defined semantic business use category within a data class.']
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The major difference between a load and an import is that a load is much faster. Unlike the import tool, data is not written to the database using normal insert operations. Instead, the load utility reads the input data, formats data pages, and writes directly to the database.
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Here are some differences between the regular filter and Advanced filter: While the regular data filter will filter the existing dataset, you can use Excel advanced filter to extract the data set to some other location as well. Excel Advanced Filter allows you to use complex criteria.
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DataRow result = (from row in dt. AsEnumerable() where row. Field<int>("OrderID") == 1 select row). SingleOrDefault();
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The difference essentially boils down to dateparts behaving like a dimension as opposed to a measure which is how datevalues behave. This means that dateparts behave like discrete categories on the view whereas datevalues are more like continuous numeric values.
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Standard objects are objects that are included with Salesforce. Common business objects like Account, Contact, Lead, and Opportunity are all standard objects. Custom objects are objects that you create to store information that's specific to your company or industry.
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SSRS does not require IIS. Starting with SQL Server Reporting 2008 Reporting Services (SSRS) was the removal of the Internet Information Services (IIS) dependency, so you do not need to install IIS on the machine that you will install SSRS. This only applies when you configure it in native mode.
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We can see right away that LINQ is a lot slower than raw SQL, but compiled LINQ is a bit faster. Note that results are in microseconds; real-world queries may take tens or even hundreds of milliseconds, so LINQ overhead will be hardly noticeable.
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The Report Designer provides a guided flow for report creation. The Report Designer supports imported data sources and MetricBase Time Series reports, but the Report Builder does not. ...
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in straight table and pivot you can add expressions, ie sum(Value), whereas in the table box you can add only the available field (no calculation). You have to select chart to create a straight/pivot table and then, in the general tab you can select the type of chart.
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There are four types of reports you can create in Salesforce, Tabular, Summary,Matrix and Joined Reports. Each are best suited for showing different types of data depending on what you want out of a report.
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QlikView Layout & Visualizations Hi, in straight table and pivot you can add expressions, ie sum(Value), whereas in the table box you can add only the available field (no calculation). You have to select chart to create a straight/pivot table and then, in the general tab you can select the type of chart.
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Difference: Data element contains the business and technical information about a field. It contains Data type, length, field labels. ... Domain contains only technical information about a field like type, length (and decimal places).
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Filters are specific to a data source, parameters are not. Filters are created on the worksheet level. Parameters can be reused across the entire workbook. Both of these distinctions are the reason we must use a parameter instead of a filter when we are trying to filter across different data sources.
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LINQ to SQL can be used for rapid application development while ADO.NET Entity Framework can be used for enterprise application development. ... On the other hand, ADO.NET Entity Framework allows developers to generate . NET classes that map to conceptual data model.
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The main difference between a Data Owner and a Data Steward is that the latter is responsible for the quality of a defined dataset on day-to-day basis. For example, it is likely that they will draft the data quality rules by which their data is measured and the Data Owner will approve those rules.