Skip to main content

SQL Server Reporting Service Modes


 (SSRS) Reporting Services runs in one of two modes: Native or SharePoint Integrated. In the Native mode, Reporting Services manages its content using its own internal, or “  native, ”  functionality. This is the traditional mode under which Reporting Services instances have been run.

 Reporting Services deployments using Enterprise, Developer, Enterprise Evaluation, or Standard editions are capable of running in the SharePoint Integrated mode. In this mode, content management is handled through SharePoint. Native content management interfaces, such as Report Manager, are no longer accessible.

 The SharePoint Integrated mode is a very appealing option for many organizations that want to leverage SharePoint as their enterprise content - management solution; however, there are some limitations, such as the lack of support for linked reports in this mode.

 For those organizations that want to run Reporting Services in Native mode but still want to display Reporting Services content through SharePoint, the Reporting Services 2.0 web parts provide an alternative to SharePoint Integrated mode.

Comments

Popular posts from this blog

Self Introduction and Responsibilities of a SQL Server DBA.

Hi, Self Introduction:                      I am Vang chew bigger , currently I am working with   Citronics , Here my role is SQL Server Database Administrator , I am having 3+ yrs Exp in SQL SERVER DBA with T-SQL, I have experience on SQL Server 2000, 2005 and 2008, I have a great experience on installation and configuration of SQL SERVER versions, and also applying the patches, hot fix, services packs and RTM’s accordingly, involved in upgrading on in place and side by side as per client requirement, and also Migrating the database on SQL SERVER 2000 to 2005 and 2008, Solid experience on configuring and maintenance of High availability SQL Server solutions, including Log shipping, Database Mirroring, Replication(Transactional and Merge) and SQL Server Clustering., having experience on performance tuning on server level, database level and query level, Responsible for working with application developers in identifying,...

Shrinking a SQL Server Log File with Database in Always ON Availability.

Shrinking a SQL Server Log File with Database in Always ON Availability.                    Once we had a situation in our production server that the database which is in Always ON Availability group has been grown to the maximum size.  Many of them say that we can't shrink the log file as the database is in Always ON and we should take the downtime to perform the operation. But we shrink-ed the database log file to 5 GB from 180 GB. Steps are as below: --To Check the Number of pages allocated by the LogFile. DBCC LOGINFO --To check the file sixe sp_helpdb [SQLPantry] --To check the Log file Size DBCC SQLPERF(LOGSPACE) The above statement will show the logspace of all db at present situation. --To check the Log_reuse_wait description of a log file. select log_reuse_wait_desc,* from sys.databases The above statement will show the status of the log whether it has to be backuped i.e., LogBackup, Nothing, Ac...

SQL Server 2022 Features in Detail.

SQL Server 2022 Features in Detail. 1. Data Virtualization: Data virtualization in SQL Server 2022 enables you to access and query data from various sources as if they were part of a single database. This eliminates the need for complex data integration processes and allows for seamless querying of distributed data. 2. Machine Learning Services Enhancements: SQL Server 2022 offers enhanced integration with machine learning frameworks like TensorFlow and PyTorch. This enables you to train and deploy machine learning models directly within the database, bringing AI-driven insights closer to the data. 3. Improved Security: The Data Discovery and Classification capabilities in SQL Server 2022 help identify sensitive data and apply appropriate security measures. Always Encrypted technology ensures that sensitive data remains encrypted in various scenarios. 4. Big Data Clusters: Big data clusters allow you to manage and query large datasets across SQL Server, Hadoop, and Spark clusters. This...