Implementing And Maintaining Microsoft Sql Server 2008 Analysis Services Pdf

implementing and maintaining microsoft sql server 2008 analysis services pdf

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Python Connect To Ssas Cube

I am a DBA consultant and several times, in the past, I have been asked for a good tool to generate fast reports to get information about the company like total sales, sales per year, month, week, etc.

After the acquisition, the technology was upgraded and evolved and now it is part of the tools that come with SQL Server. This tool is an extremely powerful tool to create analytical reports fast. It works with cubes that are designed to generate reports with optimal performance using aggregated information stored in the cube.

SSAS generally does consume a lot of space because it contains a lot of information ready to be used. In this article, we will learn how to create your first cube from scratch.

If you do not know anything about SSAS, this will be a great opportunity to learn. A cube in SSAS requires a data warehouse. The data warehouse is a special database designed to store enterprise information from different sources like Excel, ERPs, CRMs, flat files, legacy data and more.

If you want to have an SSAS cube, creating the data warehouse is a process that takes a bit of time and resources. In this article, we will use the AdventureworksDW sample ready to be used.

However, in the real-life, you will need to create some ETLs to automatically extract your business information to the Data Warehouse. The Currency dimension , will help us to detect amounts in different currencies around the world and Sales territory will help to detect sales, discounts, etc. Select the option to create a new Data Source based on existing or new connection and press the new button:. In Impersonation information specify a user with access to the AdventureworksDW database:.

We created the credentials to connect to the AdventureworksDW database. We will create now the views. In this process, we will select the tables to be included in the cube. These dimensions include information about sales regions and currencies:. As you can see, the fact table and the dimensions have a relationship.

If the common columns are equal, the relationships are detected automatically:. You can create a dimension based on templates, time tables or based on existing tables. Select the option Use an existing table :.

Once that you have the first dimension created, Currency name , we will create the sales territory dimension. In solution explorer, right click Dimensions and select New dimension:. In the new dimension created, click the process icon to process the dimension.

The process will generate the structure and load data to the dimension from the SQL Server table:. We will now create the cube.

Measure group tables are used to include the table with data to measure. A measure can be the number of sales, amount sold, freight, etc. Select the data to measure. We will uncheck the keys and check the other attributes to measure:. You can also add the fact table as a dimension degenerate dimension. In this example, we will not add it:. You will have the cube created with the fact table in yellow and the dimensions in blue. Press the process icon to process the cube:.

Drag and drop some measures from the Measure Group to the design pane:. Now drag and drop the currency name to the graph pane, you will be able to see the measures grouped by currency:.

Drag and drop the Sales Territory Country. You will now be able to see the measures grouped by currency and territory:. In this article, we learned how to create a cube in SSAS.

We first need to create a data source to connect to our database. In this example, we connected to a data warehouse already created. For our example, we used AdventureworksDW, which is a sample database created for learning purposes. The next step was to add the fact table and 2 dimensions as data source views. SSAS detected the primary keys and relationships by default.

After that, we added 2 dimensions based on 2 data source views. The currency and sales territory dimensions. Finally, we created a cube based on the table factresellersales. We selected some columns as measures and we added the dimensions created.

With the process buttons, we loaded data to the cubes. The cube as you can see is a simple way to generate multiple reports. You can create multiple reports without SQL knowledge or other reporting tools. With SSAS you can easily generate thousands of reports to accomplish your company needs. Author Recent Posts. Daniel Calbimonte. He has worked for the government, oil companies, web sites, magazines and universities around the world.

Daniel also regularly speaks at SQL Servers conferences and blogs. He writes SQL Server training materials for certification exams. Latest posts by Daniel Calbimonte see all.

SQL Server 2000 and 2005 Certification Resources

This three-day instructor-led course teaches students how to implement an Analysis Services solution in an organization. The course discusses how to use the Analysis Services development tools to create an Analysis Services database and an OLAP cube, and how to use the Analysis Services management and administrative tools to manage an Analysis Services solution. The primary audience for this course is individuals who design and maintain business intelligence solutions for their organization. These individuals work in environments where databases play a key role in their primary job and may perform database administration and maintenance as part of their primary job responsibilities. The secondary audience for this course is individuals who develop applications that deliver content from SQL Server Analysis Services to the organization. The module then describes the main considerations for installing Analysis Services.

Answering the question 'Why should I get certified? This is certainly the case for current versus aspiring DBA's. Some responses are personal and career driven while others are related to the excitement of learning new technologies. No matter how you slice it the drivers and inherent benefits are there, although perception of value of the certification differs from person to person as well. For example, one perception with the SQL Server track is that the tests are a better representation of reality than previous certifications. Another important factor to take into consideration is the time and financial investment because this too can be costly. So, weigh your options and see if your employer can help you achieve this goal or see if this is something you can chip away at slowly, but surely.

Schulungen Microsoft SQL Server

Microsoft SQL Server is an enterprise database platform that contains a multitude of technologies, Analysis Services being one of them. Packed with immediately usable, real-world recipes, the book starts with elementary techniques that lay the foundation for designing further MDX calculations and queries. Here you will find topics such as iterations on a set, Boolean logic, and dissecting and optimizing MDX calculations. In the first half of the book you will learn how to efficiently work with time, strings, metadata, calculated members and sets in general, and how to implement MDX solutions that are appropriate in a particular context: a time-aware calculation, a concise report, a calculation relative to another.

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Python Connect To Ssas Cube. Type in Automation and click the first icon 3. Within this python connect to the SQL server program, first, we are importing the pyodbc library. Installing Python.

I am a DBA consultant and several times, in the past, I have been asked for a good tool to generate fast reports to get information about the company like total sales, sales per year, month, week, etc. After the acquisition, the technology was upgraded and evolved and now it is part of the tools that come with SQL Server. This tool is an extremely powerful tool to create analytical reports fast.

Responsible for keeping a close eye on database performance and checking execution time too. I know you must be heard the same things plenty of times but how to find the right path to reach the destination is generally tough.

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