Sql Server Business Intelligence Edition – Introduction In our previous article on Introduction to Business Intelligence with SQL Server, we discussed the general structure of an enterprise business intelligence solution. The tools needed to create these solutions are briefly mentioned. The purpose of this article is to give you a deeper understanding of creating an ETL (Extract, Transform and Load) data flow. This requires the use of SQL Server Data Tools – Business Intelligence (formerly known as BIDS or Business Intelligence Development Studio). In this article, we’ll look at the main features of SQL Server data tools and how to use them to keep your database up to date. It’s important to note that there are many different ways to build an ETL solution. This article has some good tips and advice on how to approach the problem. Feed the data warehouse
This article assumes that you have already created a non-normalized datastore. If you need more information about creating a database based on a star schema, you can read here
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After you’ve created a denormalized database model for your data warehouse, you’ll need to populate it with data and schedule regular updates to keep your SQL Server business intelligence data up-to-date. Depending on your version of SQL Server, you can do this with BIDS or SQL Server Data Tools.
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This program is a very handy ETL and automation tool. You can do everything from running system processes and PowerShell scripts, running T-SQL and custom C# scripts, sending emails, or connecting to FTP servers or web services. But the most commonly used tool is the data flow task.
It is not necessary to update the database frequently. Since the purpose of business intelligence is to analyze historical data, today’s data is not important. In addition, it is clear that it is not necessary to empty and fill the database every day. Therefore, it is necessary to maintain a log table of the processing history of the database.
By enabling connections between one or more sources and/or one or more destinations, a connection manager is often the starting point of an ETL package. There are common database connections (ODBC, OLEDB, ADO.NET, etc.), connections to HTTP, FTP, and SMTP servers, and connections to various file types, such as CSV, flat file, or even Excel. However, for a simple BI data flow, two OLE DB connections are sufficient: one for the data warehouse and one for the OLTP/production database. You can configure them as follows.
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(Note that this connection is on the local computer and uses Windows authentication. You can always connect directly to the instance in IP_ADDRESSINSTANCE format, and use SQL Server authentication if the instance doesn’t support Active Directory accounts.)
To describe this task very simply; it is a unit of work that binds a data source to a destination and allows the flow of data to be modified in various ways. Sort, transform, merge, aggregate are some of the tools that can be used in a data flow task.
SQL Server business intelligence solutions typically involve extracting data from an OLTP database, transforming it from a relational model, and adding it to a star or snowflake model of your data warehouse. If you’re comfortable writing T-SQL, the right approach is a SELECT that can populate the target fact and dimension tables based on the tables in the OLTP database and store them as views in the source database is to write statements. This allows you to directly map an object in your OLTP database to an object in your data warehouse without creating complex ETL packages.
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Fact tables usually have date/time fields, and you can create a simple data flow from the data warehouse view of the OLTP database to the data warehouse fact table. You can do this by running the SQL task before the data assignment and mapping the result set to a variable that stores the last processing time for that table. You can use the following query for this
As you can see above, you can see the “?” parameter to the resource query. This allows you to add the last processed time to the query. You can do this by clicking the “Parameters…” button and setting the Parameter0 variable.
If you have a source that only gets the latest data that you don’t have in your datastore, you can create a target join and map the fields to the fields in the fact table.
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After running the dataflow task, you need to add a SQL run task to update the log table in preparation for the next day’s ETL processing:
Dimension tables often need to be treated differently, but two common methods involve comparing source and target objects and showing the difference. If the two databases are in the same state, it may fail if you execute a slow variable scale or SQL statement and use the MERGE statement.
It may seem strange to mention SQL Server Agent when focusing on business data, but it is important to keep the structure up to date. Once you have a working ETL package, you need to automate it and run it regularly to ensure your data warehouse is up to date.
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Now that you have a working ETL solution that provides your data warehouse with interesting business intelligence data, you can choose one of two paths. If for some reason you cannot use SSAS to create a multidimensional cube, you can start creating SSRS reports directly using SQL queries based on the new database system .
Having worked on highly transactional production systems and high-level enterprise business intelligence, Evan is now using this experience to make a difference in the eHealth world. He is driven by a love of technology and a desire to creatively solve complex problems.
© 2023 Quest Software Inc. ALL RIGHTS RESERVED. | GDPR | Terms of Use | Privacy This chapter provides a conceptual overview of Oracle Business Intelligence Enterprise Edition 11g Release 1 (11.1.1). This section covers the following topics:
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Oracle BI Enterprise Edition (sometimes simply called Oracle Business Intelligence) offers a full range of business intelligence capabilities that allow you to:
You use the Oracle BI presentation catalog to store objects such as analyses, dashboards, and KPIs that you and other users have created using Oracle BI EE. Users have their own folders (My Folders) where they can store their created objects. Objects in a private folder can only be accessed by the user who created and saved the contents of that folder. Users can add subfolders to their personal folders to organize content in a way that makes the most sense to them.
You can also store objects in public folders where other users or groups can access the objects. A combination of business logic security, directory object security, and data-level security determines who can view data and objects, edit objects, and delete objects from the directory. Your administrator creates and manages the public folder structure of the directory.
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For more information, see What is the Oracle BI Presentation Catalog? and “Managing Objects in the Oracle BI Presentation Catalog”. For more information about configuring the directory, see “Configuring and Managing the Oracle BI Presentation Directory” in the Oracle Fusion Middleware System Administrator’s Guide for Oracle Business Intelligence Enterprise Edition.
You use the URL, user ID, and password provided by your organization to access Oracle BI EE.
Oracle BI EE requires that your web browser be configured to accept cookies. It uses a cookie to track a user’s logged in session.
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After you log in to Oracle BI EE (as described in Logging in to Oracle BI Enterprise Edition), you will be presented with one of the following pages, depending on what is configured for you:
This page is a starting point for working with Oracle BI EE. At runtime, you can use the global header and home page as the primary navigation methods in Oracle BI EE.
Once you reach the starting point of a task, the interface shows you the page, dialog box, or editor you use to complete the task.
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Home provides a starting point for performing tasks in Oracle BI EE. The home page is divided into sections that allow you to quickly start a specific task, find an item, or access technical documentation. It also includes sections that give you quick access to items you’ve recently viewed, created, or updated, as well as items most used by users you’ve assigned to relevant groups.
Depending on what is configured as your home page, you may be presented with a home page when you log in to Oracle BI EE.
Otherwise, you can always go to the home page by clicking the Home link in the general header. For reference
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