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70-467: Designing Business Intelligence Solutions-

 375,00 Excl. BTW per 365 dagen


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70-467: Designing Business Intelligence Solutions with Microsoft SQL Server

Met de online training 70-467: Designing Business Intelligence Solutions with Microsoft SQL Server van Sinteno krijg je de meest complete digitale leeromgeving en de beste voorbereiding op de praktijk. Het is een dynamische en unieke voorbereiding op de certificering EN geeft je tools die volledig zijn geïntegreerd in een omgeving.

De online training 70-467: Designing Business Intelligence Solutions with Microsoft SQL Server geeft toegang tot zowel de e-Learning, de examensimulatie, een online mentor, examenquizzen, tips, trucs en links.

Deze online training geeft echter géén toegang tot een Live Lab.

Hier vind je meer informatie over CertKits en Live Lab's

In de online training 70-467: Designing Business Intelligence Solutions with Microsoft SQL Server leer je business intelligence oplossingen te creëren. Deze online cursus gaat met name in op het ontwerpen, installeren en onderhouden van de verschillende onderdelen van een BI platform.

Onderwerpen die in de online training 70-467: Designing Business Intelligence Solutions with Microsoft SQL Server onder andere aan bod komen zijn data modeling, data warehouse architectuur, SSIS, SSRS, multidimensional cubes, SSAS security, PowerPivot, MDX/DAX, data Mining en nog veel meer.

Voor wie



Tijdens de online training 70-467: Designing Business Intelligence Solutions with Microsoft SQL Server worden de volgende onderwerpen behandeld:

BI Infrastructure Design

  • Start the course
  • Describe:
    • The elements of a BI infrastructure and explain data sources
    • A data warehouse and ETL for a BI infrastructure
    • Analytical data models and the reporting and analysis element in a BI infrastructure
  • Describe the:
    • Role Windows Server, SQL Server, SharePoint, and Office applications play in a BI infrastructure
    • Considerations and guidelines for updating an existing BI solution
    • Key features in a BI project
    • Applications, development, and test infrastructure as well as the personnel to build the BI project
  • Plan system sizing and workload for a BI infrastructure
  • Describe the different types of server topologies for a BI solution
  • Plan for scaling out a BI solution
  • Plan for high availability for a BI solution
  • Determine the MCR, CPU, and RAM requirements for a data warehouse database
  • Determine the storage requirements for a data warehouse database
  • Describe the key tasks and steps in designing a data warehouse database in a BI project
  • Design:
    • A dimensional model for the business process using a matrix design and document it
    • Dimension keys, attributes, and hierarchies, given a scenario
    • Slowly changing data and unknown values for a dimension
    • Time dimension tables based on a scenario
    • Self-referencing dimension tables based on a scenario
  • Describe:
    • The types of columns in a fact table and how to determine the level of grain
    • The types of measures in a fact table and the types of fact tables commonly used
    • Causes of data warehouse I/O activity and the considerations for placement of database files
    • Table partitioning, including benefits, and create a partitioned table
    • The considerations for using indexes and the types of indexes
  • Create indexes and assess their performance
  • Describe data compression and its benefits
  • Implement compression
  • Describe the guidelines for planning views and create views based on them
  • Understand the considerations involved in BI solution design

Extract, Transform, and Load

  • Start the course
  • describe:
    • The common ETL data flow architectures used in a BI Project
    • The considerations that affect the design of data extraction from the data sources
    • How to minimize the load times and hardware resource utilization, and plan the extraction windows
  • Identify where transformations should take place and determine which transformation should be used
  • Design the ETL solution to support slowly changing dimensions (SCD)
  • Design ETL solutions to support change data capture
  • Handle invalid rows by redirecting the rows
  • Use the Balanced Data Distributor, BDD, transformation to optimize package execution
  • Determine whether to use an incremental load or a full load on the data
  • Determine if aggregation operations should be completed directly in the SSIS pipeline or in the relational database
  • Load partitioned fact tables using best practices for an optimal load
  • Handle errors through error handling techniques and log audit information
  • Describe the differences between the package deployment model and the project deployment model, and project deployment model features
  • Use parameters in packages, including sharing them
  • Use the Integration Service Deployment Wizard to deploy projects to the SSISDB catalog using the project deployment model
  • Set up a server environment to specify runtime values for packages within a project
  • Use package configuration files to modify the properties of package elements at run time
  • Build the SSIS project to create a package deployment utility with the packages for deployment
  • Copy the deployment folder and run the Package Installation Wizard to install packages to the file system or instance
  • Configure security on packages requiring different security requirements
  • Manage the SSIS catalog, including the modifying the catalog properties
  • Use catalog stored procedures and views to manage SSIS objects
  • Backup and restore the SSIS catalog, including moving it
  • Design ETL solutions, including package and project deployment and managing the ETL solution, in a scenario

Data Models

  • Start the course
  • Describe the two types of BISM data models and how they can be used to create a unified Analysis Services platform
  • Describe the considerations for choosing an analytical data model for an SSAS solution
  • Choose between a star and snowflake schema for a multidimensional data model
  • Identify how to design a relational model for a Data Mart
  • Determine the appropriate Proactive Caching method within SSAS for different scenarios
  • Describe how to plan for a multidimensional cube
  • Design data sources for analytical models, including the types of data source and the considerations
  • Create data sources and data source views, including relationships, for analytical models
  • Use the cube wizard to create a cube for a multidimensional model
  • Configure measures, including identifying the aggregation method
  • Define measure groups
  • Design and:
    • Configure dimensions in a multidimensional model
    • Configure relationships between tables
    • Create aggregations to improve cube performance
    • Configure cubes for drill-through
    • Indexes, index views, and order by statement for SSAS processing
  • Import tables and configure relationships and measures for a tabular model
  • Design and configure attributes and dimensions for a tabular model
  • Choose the appropriate partitioning strategy for a cube
  • Design aggregations strategies for separate partitions
  • Create partitions for a cube, including specifying the aggregations and storage
  • Configure binding options for partitions
  • Configure data compression options on fact table partitions
  • Design and configure write back for a cube
  • Design data models and SSAS solutions in a given scenario

Reporting Services

  • Start the course
  • Describe:
    • How reporting and analysis fit into a BI solution and how data sources are used
    • The key characteristics of common reporting scenarios used for BI solutions
    • The tools offered to create and delivery reports
    • How SharePoint can be used for reporting and describe the guidelines for choosing the correct reporting tool
  • describe the:
    • Reporting Services infrastructure
    • Key considerations for reports in a BI solution
    • Reporting Services modes and when to choose a mode, given a scenario
  • Plan for report delivery, including planning for security
  • Design for specific report types, including interactive, graphical, and report rendering
  • Describe the requirements, hardware and software, for the different SSRS configurations
  • Describe the considerations for designing data source and datasets for a report
  • Design a data movement strategy and profile source data
  • Create a shared or embedded data source
  • Create stored credentials to determine who can access the data in the report
  • Design for data retention
  • Customize data acquisition using DAX with reporting services data sources
  • Create a dataset using query parameters
  • Manage datasets using store procedures
  • Create appropriate DAX queries for an application
  • Extract data from analysis services by using MDX queries
  • Manage data rights and security for a dataset
  • Design and create a report template to ensure report consistency
  • design and create:
    • Linked reports, including sub-reports
    • A drill-through report
  • design:
    • Map visualization and create a report with a map
    • A Reporting Services solution, including designing and planning the infrastructure, data sources, datasets, and different report types

SharePoint Integration

  • Start the course
  • describe:
    • How SharePoint Server can fit into a BI Solution and the supported topologies
    • The features provided when SharePoint is integrated with a BI Solution
    • The steps taken to fully integrate SharePoint Server with a BI solution
  • Install PowerPivot for SharePoint
  • Install the PowerPivot for SharePoint add-in to add additional functionality
  • Configure PowerPivot using the PowerPivot for SharePoint 2013 Configuration tool
  • Install Reporting Services in SharePoint mode to enable and use Power View
  • Install the Reporting Services add-in for SharePoint
  • Enable Report Server content types to a SharePoint library
  • Use a PowerPivot workbook and publish it to SharePoint
  • Create and publish a report using Power View to SharePoint
  • Describe the two types of schedules, what you can accomplish with them, and how they work
  • Describe the requirements for security for report processing and scheduling, including credentials for data sources and accounts
  • Create and manage a schedule for Reporting Services in Native mode using Report Manager
  • Create and manage a schedule for Reporting Services in SharePoint mode using Central Administration
  • Plan for data refresh for PowerPivot in SharePoint, including security
  • Configure data refresh schedules for PowerPivot published to SharePoint and perform an interactive refresh
  • Set different processing options for reports in a SharePoint library, including caching, time-out, history options and limits, and database time-out options
  • Plan a subscription strategy for report delivery
  • Create a subscription for Report Servers in Native mode
  • Create a subscription for Report Servers in SharePoint mode to deliver a report to a library
  • Describe what data alerts are and how to use them
  • Create a data alert for a report in a SharePoint library
  • Demonstrate how to integrate SharePoint into Microsoft SQL Server 2014

MDX Queries and Performance

  • Start the course
  • describe the:
    • Key concepts in MDX
    • Basic structure of an MDX query
    • Common MDX functions
  • use:
    • MDX set functions
    • MDX multiple functions
    • The CALCULATE and SCOPE statements as well as the THIS function
  • Create query-scoped calculated members using the WITH keyword
  • Create session-scoped calculated members using the CREATE MEMBER statement
  • Perform a simple case statement to compare an expression to a set of simple expressions to return specific values
  • Perform a searched case statement to evaluate a set of Boolean expressions to return specific values
  • Create MDX calculations to obtain the desired results
  • use:
    • Data Collector to monitor a SQL Server instance by gathering performance-related data
    • Performance Monitor to troubleshoot data warehouse performance issues
    • Resource Governor to balance load resources for an ETL load process
    • Performance Monitor to troubleshoot SSAS performance
    • SQL Server Profiler to analyze and optimize performance of MDX queries
    • SQL Server Profiler to analyze and optimize performance of DAX queries
    • Performance Monitor to monitor SSRS performance
  • Configure memory settings for Reporting Services to ensure optimal performance
  • Configure caching for a report and monitor its affects using Performance Monitor
  • Monitor SQL Server instances to optimize performance in different scenarios

Availability and Recovery

  • Start the course
  • Describe the different authentication mechanisms supported by SSAS
  • Configure SSAS to allow for impersonation using Kerberos
  • Configure SSAS for trusted delegation using Kerberos
  • Use SQL Server Profiler to test for impersonated or delegated identity
  • Describe granting access to external users using HTTP and verify the prerequisites in IIS
  • Configure external access to SSAS using HTTP by creating the application pool, virtual directory in IIS, and configure IIS authentication
  • Configure external access to SSAS using HTTP by granting data access permissions and then testing the configuration
  • Implement Dynamic Dimension Security within a cube
  • Create roles and define permissions to grant access at different levels for multidimensional models
  • describe the high availability solutions that can be used by SQL Server
  • describe how AlwaysON:
    • Failover Cluster Instances can be used to ensure high availability for a SQL Server instance
    • Availability Groups can be used for high availability for a SQL Server instance
    • Availability Groups can be used with SSAS and SSRS
  • Design a recovery strategy for SSAS and SSRS databases
  • Perform a:
    • Backup of SSAS databases
    • Backup of the SSRS databases
    • Restore of a SSAS database
    • Restore of the SSRS databases
  • Configure logging within an ETL package, container, and task to capture run-time information
  • Enable logging for package execution on the SSIS server
  • View log entries that are written after a package is run in the Log Events Window
  • View package execution reports provided by the SSIS catalog
  • Manage security, high availability, back up and recovery, and logging for a BI infrastructure.


Je kunt zelfstandig business intelligence oplossingen ontwerpen op basis van SQL Server 2012.



Je hebt de MCSA: SQL Server 2012 certificering behaald. Ook heb je de volgende cursus gevolgd of vergelijkbare kennis: 70-466: Implementing Data Models and Reports with Microsoft SQL Server 2012.


Let op: Deze training blijft wel bestaan maar de mogelijkheid om het bijbehorende examen af te leggen is per 31 januari 2021 komen te vervallen. 
Een groot aantal Microsoft trajecten zijn namelijk aan het veranderen. Veel MCSA en MCSE trajecten maken plaats voor Role-Based trajecten.

De vervanger van deze online training is nog niet bekend.

Bij de training inbegrepen

Certificaat van deelname ja
Voortgangsbewaking ja
Geschikt voor mobiel ja
Studieadvies Onze consultants zijn beschikbaar om je te voorzien van studieadvies.
Studiemateriaal Gecertificeerde docenten met uitgebreide kennis over de onderwerpen.
Service Service via telefoon of e-mail.

Aanvullende informatie

Duur training:  27 uur

Beschikbare taal:  Engels

Online toegang:  365 dagen


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