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Training: Designing Business Intelligence Solutions with Microsoft SQL Server (exam 70-467)

Vanaf

€ 389,00
€ 470,69 Incl. BTW

1 x Training: Designing Business Intelligence Solutions with Microsoft SQL Server (exam 70-467)   +
€ 389,00
€ 470,69 Incl. BTW

€ 389,00
€ 470,69 Incl. BTW

Bestellen namens een bedrijf?

Duur: 27 uur |

Taal: Engels (US) |

Online toegang: 180 dagen |

In Onbeperkt Leren

In deze SQL Server training / cursus leert u business intelligence oplossingen te creëren. Deze cursus gaat met name in op het ontwerpen, installeren en onderhouden van de verschillende onderdelen van een BI platform.

Onderwerpen die 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.

Resultaat

U kunt zelfstandig business intelligence oplossingen ontwerpen op basis van SQL Server 2012. Tevens bent u voorbereid op het MCSE examen 70-467.

Voorkennis

U heeft de MCSA: SQL Server 2012 certificering behaald. Tevens heeft u de volgende training gevolgd of vergelijkbare kennis: Implementing Data Models and Reports with Microsoft SQL Server 2012 (exam 70-466).

Doelgroep

Databasebeheerders

Designing Business Intelligence Solutions with Microsoft SQL Server (exam 70-467)

27 uur

Microsoft SQL Server 2014 - Designing BI Solutions: BI Infrastructure Design

  • start the course
  • describe the elements of a BI infrastructure and explain data sources
  • describe a data warehouse and ETL for a BI infrastructure
  • describe 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
  • describe the considerations and guidelines for updating an existing BI solution
  • describe the key features in a BI project
  • describe the 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
  • design dimension keys, attributes, and hierarchies, given a scenario
  • design slowly changing data and unknown values for a dimension
  • design time dimension tables based on a scenario
  • design 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
  • describe the types of measures in a fact table and the types of fact tables commonly used
  • describe causes of data warehouse I/O activity and the considerations for placement of database files
  • describe table partitioning, including benefits, and create a partitioned table
  • describe 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

Microsoft SQL Server 2014 - Designing BI Solutions: Extract, Transform, and Load

  • start the course
  • describe the common ETL data flow architectures used in a BI Project
  • describe the considerations that affect the design of data extraction from the data sources
  • describe 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

Microsoft SQL Server 2014 - Designing BI Solutions: 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
  • design and configure relationships between tables
  • design and create aggregations to improve cube performance
  • design and configure cubes for drill-through
  • design 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

Microsoft SQL Server 2014 - Designing BI Solutions: Reporting Services

  • start the course
  • describe how reporting and analysis fit into a BI solution and how data sources are used
  • describe the key characteristics of common reporting scenarios used for BI solutions
  • describe the tools offered to create and delivery reports
  • describe how SharePoint can be used for reporting and describe the guidelines for choosing the correct reporting tool
  • describe the Reporting Services infrastructure
  • describe the key considerations for reports in a BI solution
  • describe the 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
  • design and create a drill-through report
  • design map visualization and create a report with a map
  • design a Reporting Services solution, including designing and planning the infrastructure, data sources, datasets, and different report types

Microsoft SQL Server 2014 - Designing BI Solutions: SharePoint Integration

  • start the course
  • describe how SharePoint Server can fit into a BI Solution and the supported topologies
  • describe the features provided when SharePoint is integrated with a BI Solution
  • describe 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

Microsoft SQL Server 2014 - Designing BI Solutions: MDX Queries and Performance

  • start the course
  • describe the key concepts in MDX
  • describe the basic structure of an MDX query
  • describe the common MDX functions
  • use MDX set functions
  • use MDX set functions
  • use MDX tuple functions
  • use 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
  • use Performance Monitor to troubleshoot data warehouse performance issues
  • use Resource Governor to balance load resources for an ETL load process
  • use Performance Monitor to troubleshoot SSAS performance
  • use SQL Server Profiler to analyze and optimize performance of MDX queries
  • use SQL Server Profiler to analyze and optimize performance of DAX queries
  • use 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

Microsoft SQL Server 2014 - Designing BI Solutions: 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
  • describe how AlwaysON Availability Groups can be used for high availability for a SQL Server instance
  • describe how AlwaysON Availability Groups can be used with SSAS and SSRS
  • design a recovery strategy for SSAS and SSRS databases
  • perform a backup of SSAS databases
  • perform a backup of the SSRS databases
  • perform a restore of a SSAS database
  • perform a 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

Wij bieden, naast de training, in sommige gevallen ook diverse extra leermiddelen aan. Wanneer u zich gaat voorbereiden op een officieel examen dan raden wij aan om ook de extra leermiddelen te gebruiken die beschikbaar zijn bij deze training. Het kan voorkomen dat bij sommige cursussen alleen een examentraining en/of LiveLab beschikbaar is.

Examentraining (proefexamens)

In aanvulling op deze training kunt u een speciale examentraining aanschaffen. De examentraining bevat verschillende proefexamens die het echte examen dicht benaderen. Zowel qua vorm als qua inhoud. Dit is de ultieme manier om te testen of u klaar bent voor het examen. 

LiveLab

Als extra mogelijkheid bij deze training kunt u een LiveLab toevoegen. U voert de opdrachten uit op de echte hardware en/of software die van toepassing zijn op uw Lab. De LiveLabs worden volledig door ons gehost in de cloud. U heeft zelf dus alleen een browser nodig om gebruik te maken van de LiveLabs. In de LiveLab omgeving vindt u de opdrachten waarmee u direct kunt starten. De labomgevingen bestaan uit complete netwerken met bijvoorbeeld clients, servers, routers etc. Dit is de ultieme manier om uitgebreide praktijkervaring op te doen.

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