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This complements the SQL Server content that is already within the curriculum. What you learn on this course will be applicable to both SQL Server and See prices now to find out how much you could save when you train at twice the speed. Think you are ready for the course? Take a FREE practice test to assess your knowledge! As a SQL Server database professional, you may be required to participate in, or perhaps even lead, a project with the aim of implementing an effective enterprise BI solution.

Therefore, it is important that you have a good understanding of the various elements that comprise a BI solution, the business and IT personnel typically involved in a BI project, and the Microsoft products that you can use to implement the solution. This module provides an introduction to multidimensional databases and introduces the core components of an Online Analytical Processing OLAP cube.

This module describes how to create and configure dimensions and dimension hierarchies in an Analysis Services multidimensional data model. This module describes measures and measure groups. It also explains how you can use them to define fact tables and associate dimensions with measures.

This module describes the fundamentals of MDX and explains how to build calculations, such as calculated members and named sets. This module describes how to enhance a cube with Key Performance Indicators KPIs , actions, perspectives, and translations. After completing this module, you will be able to: Describe Analysis Services tabular data model projects. Implement an Analysis Services tabular data model.

Use an Analysis Services tabular data model. It also explains how you can use DAX to create calculated columns and measures, and how you can use them in your tabular data models. This module introduces Microsoft SQL Server Reporting Services and discusses the tools and techniques that a professional BI developer can use to create and publish reports. This module describes how to apply security and report execution settings, and how to create subscriptions to deliver reports.

This module introduces data mining, describes how to create a data mining solution, how to validate data mining models, how to use the Data Mining Add-ins for Microsoft Excel, and how to incorporate data mining results into Reporting Services reports.

At the conclusion of this module you will be able to plan management and maintenance operations of a BI solution. Do you already have a SQL Server certification? If so, you may be able to take fewer exams on this course before you get your certification.

Call us on 80 to find out more. Awareness of key business priorities such as revenue, profitability, and financial accounting is also recommended.

Unsure whether you meet the prerequisites? Your training consultant will discuss your background with you to understand if this course is right for you. Here’s the Firebrand Training review section. Since we’ve trained exactly , students and asked them all to review our Accelerated Learning. Currently, Read reviews from recent accelerated courses below or visit Firebrand Stories for written and video interviews from our alumni.

Thank you. Very good learning environment and brilliant for shutting out distractions” A. The site at Wyboston is very suitable to enable the studying required. Finished – Leave feedback. Duration: Only 6 Days. Dates See prices. Benefits Seven reasons why you should sit your course with Firebrand Training Two options of training. Choose between residential classroom-based, or online courses You’ll be certified fast. No hidden extras. Pass first time or train again for free. This is our guarantee.

A day with a traditional training provider generally runs from 9am — 5pm, with a nice long break for lunch. Please refer to the Exam Track or speak with our experts. Select appropriate Microsoft technologies for a BI solution. Describe key considerations for planning a BI project. Create data sources and data source views. Create a cube. Implement security in a multidimensional database.

Module 3: Working with Cubes and Dimensions This module describes how to create and configure dimensions and dimension hierarchies in an Analysis Services multidimensional data model. Define attribute hierarchies. Sort and group attributes. Module 4: Working with Measures and Measure Groups This module describes measures and measure groups. Configure measure groups.

Module 5: Introduction to MDX This module describes the fundamentals of MDX and explains how to build calculations, such as calculated members and named sets. Add calculations to a cube. Describe how to use MDX in client applications. Implement Actions. Implement Perspectives. Implement Translations. Use DAX to create calculated columns and measures.

Use Report Designer to create a report. Group and aggregate data in a report. Publish and view a report.

Module Automating Report Execution and Delivery This module describes how to apply security and report execution settings, and how to create subscriptions to deliver reports. Configure report execution settings to optimise performance. Use subscriptions and alerts to automate report and data delivery.

Troubleshoot reporting issues. Configure PerformancePoint Data Sources. Create Reports, Scorecards, and Dashboards. Module Performing Predictive Analysis with Data Mining This module introduces data mining, describes how to create a data mining solution, how to validate data mining models, how to use the Data Mining Add-ins for Microsoft Excel, and how to incorporate data mining results into Reporting Services reports.

Create a data mining solution. Validate data mining models. Use data mining data in a report. Identify the components of a BI Solution. Plan a BI Project. Plan for the hardware requirements of a data warehouse implementation. Module 3: Designing a Data Warehouse This module describes how to design a data warehouse given a set of user requirements.

Design dimension tables. Design Fact tables. Design a logical schema for a data warehouse. Design an ETL solution. Design an analytical data model. Module 6: Planning a BI Delivery Solution This module describes how to choose an appropriate delivery solution for a given scenario.

Describe some common reporting scenarios. Choose an appropriate delivery solution for a given scenario. Module 7: Designing a Reporting Services Solution This module describes how to design a reporting services solution. Design reports for a reporting services solutions. Plan for consistency of reporting Module 8: Designing an Excel Based reporting Solution In this module students will learn how to design a reporting solution using Excel.

Use PowerPivot in Excel to create reports. Use Power View in excel to create reports. Describe the components of a PerformancePoint Solution. Implement PerformancePoint services. Be able to monitor and optimise a BI solution. Module Operating a BI Solution At the conclusion of this module you will be able to plan management and maintenance operations of a BI solution.

Be able to manage the components of a BI solution. Reviews Here’s the Firebrand Training review section.

MOC D: Designing Business Intelligence Solutions with MS SQL Server | ProTech

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Links may be provided to third party sites. Such sites are not under the control of Microsoft and Microsoft is not responsible for the contents of any linked site or designjng link contained in a linked site, or any changes or updates to such sites.

Microsoft is not responsible for webcasting or any other form of transmission received from any linked site. Microsoft is providing these links to you only as cesigning convenience, and the inclusion of any link intelligecne not imply endorsement of Microsoft of the site or the products contained therein. All rights reserved. You plan to extract source data from various data sources during multiple data acquisition windows.

You want to synchronize this data before updating the data warehouse. You plan to extract source data from various data sources during a single acquisition window. You want to perform various transformations on the source data as part of the extraction process. You plan to extract source data from various data sources.

You need to perform validation, cleansing, desihning deduplication operations on the data before loading it into the data warehouse. You need to perform transformations on the data, but you cannot perform these transformations during the data extraction or data flow processes.

Answer: You plan to extract source data from various data sources during multiple data acquisition windows. Answer: You should consider using a staging area if you need to extract data from multiple data sources that have differing acquisition windows, or if you need to perform data transformations, validation, cleansing, or deduplication before loading the data into the data warehouse.

Question: What options might you consider desiging performing data transformations in an ETL solution? Answer: If the data source supports a query language such as Transact-SQL, you can perform some transformations in the query that is used to extract the data.

To perform complex row-by-row intellogence in the transformation, or if you need to access data in multiple data sources, you should consider implementing transformations in a data flow task, in the ETL process. If you are using a staging area such as a SQL Server database, and your transformation requires data from multiple sources that may not be simultaneously accessible until the data is staged, you should consider performing transformations in the staging ссылка на подробности. Question: Why would you assign the data steward role to a business user rather than a database technology specialist?

Answer: A data steward must have a deep knowledge of the business entities that course 20467d designing business intelligence solutions with microsoft sql server 2014 free data represents.

Typically, a business user with expertise in the particular area to which the data relates will understand and course 20467d designing business intelligence solutions with microsoft sql server 2014 free how to validate the business entities better than a technical specialist. You estimate that the average query size will be 5,MB. You need to support five concurrent users and your target response time is two seconds.

Assume that each processor core can support an MCR of Mbps. How many server cores should you recommend? Click Execute, and wait for query execution to complete. This query creates a inyelligence containing two tables, one with a clustered index and kntelligence without.

Both tables contain a substantial number of rows. Wity queries retrieve course 20467d designing business intelligence solutions with microsoft sql server 2014 free aggregated value from each table, and are performed twice.

In the results pane, click the Messages tab. Course 20467d designing business intelligence solutions with microsoft sql server 2014 free shows the statistics for the queries. Add the logical reads value for the two queries together, and then divide the result by two to find the average. Add inteoligence CPU time value for the two queries together, and then divide the result by two to find the average. Divide the result by to convert it to seconds. What components of a BI infrastructure would you consider virtualizing, and why?

Answer: Many database professionals are resistant to virtualization, particularly regarding data warehouses, because of the additional layer of abstraction it adds between the database server and the physical hardware—in как сообщается здесь, the disk subsystem. There are also advantages with portability and recoverability because the entire data warehouse server can be easily copied to desinging physical hardware or backed up.

For Reporting Services and Analysis Services, a virtualized infrastructure could be extremely beneficial as you can easily move entire virtual servers across physical hosts for hardware maintenance operations or to recover from a hardware microsoft office 2010 tutorial free free. There is also the ability to dynamically scale curse virtual hardware resources to match demand.

For example, suppose an organization experiences a sharp rise in demand for report processing at the end of the financial year, and a corresponding drop in specific analysis as users shift their attention to generating year-end reports.

If freee, the allocation of physical memory and processor resources to the virtual server hosting Reporting Services could be increased by reducing the resources allocated to the virtual Analysis Services server. Then, after the year-end reporting activity is over, the resource allocations could eolutions readjusted to support the normal workload balance.

How does the hardware specification in this workbook compare to the one you created solutinos the lab? Answer: Answers will vary. To do this, number each courxe to indicate the correct order. Steps Examine the source data for those business processes. Prioritize business processes and define a dimensional model for each. Desgning the 201 processes that generate the required data. Design the physical data structures for the database.

Conform dimensions across business processes. Determine analytical and reporting requirements. Document and refine the models to determine the database logical schema.

Dimensional Modeling Additional Reading: For more information about using a bus matrix as part of a data warehouse design project, read The Microsoft Data Warehouse Toolkit Wiley, Your dimension data comes from a source in which an email address is used as witb primary key. How should you proceed?

Slutions the key from the source system as the dimension key. Disassociate the source key from the source data. Create an integer-based surrogate key. Create a GUID-based surrogate key. Create an email-based surrogate key. Answer: Use the key from the source system as the dimension key. Indicate your answer by writing the category number to the right of each item. Open Partitions. Select the code ibtelligence the comment Create a database, and then click Execute.

This creates a database for the demonstration. Solutionns the code under the comment Create filegroups, and then click Execute. This creates four filegroups in the demo database. Select the code under the comment Create partition function and scheme, and then click Execute. This creates a partition function that defines four ranges of values less thantotobusindss and higherand a partition scheme that maps microeoft ranges to the FG, FG, FG, course 20467d designing business intelligence solutions with microsoft sql server 2014 free FG filegroups.

Select the code fesigning the comment Create a partitioned table, and then click Execute. This creates a partitioned table on the partition scheme you created previously. Select the code under the comment Insert data into the partitioned table, and then click Execute. This inserts four records into the table. Course 20467d designing business intelligence solutions with microsoft sql server 2014 free Partition Metadata 1.

Select the code under the comment Query the table, and then click Execute. This function is useful for determining which partition of a partition function a specific value belongs in. Select the code under the comment View filegroups, partitions, and rows, and then click Execute.

This code uses system tables to show the partitioned storage and the number of rows in each partition. Note that there are two empty partitions, one at the beginning of the table, and one at http://replace.me/19071.txt end.