Articles

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Techniques For Improving SQL Query Performance - Indexing, Parameterization and Partitioning

You are tasked with examining poor performance for queries on a certain table, or range of tables. Perhaps a sales report is timing out or running unacceptably slow; perhaps your web application is failing to return the result set before the application timeout is reached. You need to find out what's causing the bottleneck, and optimize either the queries used, the table schemata, or both.

2013-09-06

6,400 reads

External Article

Getting Data between Excel and SQL Server using ODBC

With ODBC, you can summarise, and select just the data you need, in an Excel workbook before importing it into SQL Server. You can join data from different areas or worksheets. You can even get data from the result of a SQL Server SELECT statement into an Excel spreadsheet. Phil Factor shows how, and warns of some of the pitfalls.

2013-09-05

4,816 reads

External Article

New Enhanced Column Store Index in SQL Server 2014 – Part 1

Column Store Index, which improves performance of data warehouse queries several folds, was first introduced in SQL Server 2012. Unlike regular indexes or heaps, which store data in B-Tree structure (in row-wise fashion), the column store index stores data in columnar fashion and uses compression aggressively to reduce the disk I/O needed to serve the query request. In this article, Arshad Ali talks about the new enhanced columnstore index feature in SQL Server 2014.

2013-09-04

2,487 reads

External Article

Opportunity for Business Intelligence developer

Red Gate is looking for a Business Intelligence Developer to work with our internal development team on creating business intelligence solutions. You'll be responsible for designing, building, and testing end-to-end BI solutions using the Microsoft BI stack, so we'll expect you to be passionate about understanding data and generating a universe of analytics for your customers – our Red Gaters.

2013-09-04

3,709 reads

External Article

New SQL Monitor Custom Metric: Large Transaction Log Files

If the transaction log autogrows rapidly, it can suggest that log backups are not being carried out frequently enough, or another resource may be preventing the log from truncating. This metric measures the number of transaction log files that are greater than 10 GB. The associated alert is raised when the number of files exceeds a specified threshold.

2013-09-03

2,422 reads

Blogs

PostgreSQL: Diagnosing and Fixing a Sequential Scan with No Filter Predicate

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Giving AI Agents Visibility Into SQL Server with MCP

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The Book of Redgate: Profits

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