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SQL Server Management Studio: Microsoft: Unknown ... (or transfer via XMI, CVS/TFS or Difference Merge). ER/Studio: Logical, physical, ETL IDEF1X, IE (Crow’s feet ...
A common source of problems in ETL is a big number of dependencies among ETL jobs. For example, job "B" cannot start while job "A" is not finished. One can usually achieve better performance by visualizing all processes on a graph, and trying to reduce the graph making maximum use of parallelism , and making "chains" of consecutive processing ...
Data virtualization is an approach to data management that allows an application to retrieve and manipulate data without requiring technical details about the data, such as how it is formatted at source, or where it is physically located, [1] and can provide a single customer view (or single view of any other entity) of the overall data.
In SQL Server versions 6.5 and earlier, database administrators (DBAs) used SQL Server Transfer Manager and Bulk Copy Program, included with SQL Server, to transfer data. These tools had significant shortcomings, and many [ quantify ] DBAs used third-party tools such as Pervasive Data Integrator to transfer data more flexibly and easily.
The most significant difference between ISQL and the previous Informix product was the separation of the database access code into an engine process (sqlexec), rather than embedding it directly in the client — thus setting the stage for client-server computing, with the database running on a separate machine from the user's machine.
Pervasive Software was a company that developed software including database management systems and extract, transform and load tools. Pervasive Data Integrator and Pervasive Data Profiler are integration products, and the Pervasive PSQL relational database management system is its primary data storage product. These embeddable data management ...
Microsoft SQL Server Integration Services (SSIS) is a component of the Microsoft SQL Server database software that can be used to perform a broad range of data migration tasks. SSIS is a platform for data integration and workflow applications. It features a data warehousing tool used for data extraction, transformation, and loading (ETL).
Data integration, by contrast, is a permanent part of the IT architecture, and is responsible for the way data flows between the various applications and data stores—and is a process rather than a project activity. Standard ETL technologies designed to supply data from operational systems to data warehouses would fit within the latter ...