Designing Business Intelligence Solutions with Microsoft SQL Server MOC 20467

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1 Designing Business Intelligence Solutions with Microsoft SQL Server MOC In diesem 5-tägigen Microsoft-Kurs lernen Sie die Implementierung einer Self-Service Business Intelligence (BI) und Big Data Analyse-Lösung mithilfe der Microsoft Daten-Plattform. Sie erfahren die Hintergründe für eine Self- Service BI. Ebenso lernen Sie, wie Sie Microsoft SQL Server Reporting Services, Microsoft Excel, Microsoft SharePoint Server und Microsoft Office 365 Power BI anwenden, um Self-Service Datenmodelle und Berichte zu erstellen. Des Weiteren wird beschrieben, wie Sie Windows Azure HDInsight anwenden, um Big Data Analysen durchzuführen. Hinweis: Dieser Kurs eignet sich für Teilnehmer, die daran interessiert sind, SQL Server 2012 oder SQL Server 2014 kennenzulernen. Es werden die neuen Funktionen in SQL Server 2014 vorgestellt, sowie die wichtigen Fertigkeiten in Verbindung mit der SQL Server Datenplattform. Dieses MOC-Training basiert auf Fertigkeiten und Wissensgrundlagen, die für die Zertifizierungs-Prüfung benötigt werden. Idealerweise können Sie diesen Kurs in Verbindung mit Ihrer beruflichen Erfahrung zur Vorbereitung auf diese Prüfung nutzen. Zielgruppe Dieser Kurs eignet sich für Datenbank- und BI-Experten, die mit Data Warehouses und Enterprise BI-Lösungen vertraut sind, die auf SQL Server-Technologien aufbauen. Erfahrene Daten Analysten, die lernen möchten, wie Microsoft Technologien für Self-Service Analyse und Berichte angewendet werden. Kerninhalte Beschreiben der wichtigsten Funktionen und Vorteile einer Self-Service BI Anwenden der SQL Reporting Services, u, eine Self-Service Berichts- Lösung zu implementieren Anwenden von PowerPivot in Microsoft Excel, um analytische Datenmodelle zu erstellen Anwenden von Power Query in Microsoft Excel, um Daten in ein Datenmodell zu importieren Lanworks AG Lippestraße Düsseldorf Fon

2 Anwenden von Power View in Microsoft Excel, um interaktive Datenvisualisierungen zu erstellen Anwenden von Power Map in Microsoft Excel, um geografische Datenvisualisierungen zu erstellen Anwenden von Microsoft SharePoint, um kollaborative Self-Service-BI - Lösungen zu implementieren Bereitstellen und Anwenden eines Windows Azure HDInsight Clusters für Big Data -Analyse Verwenden von Pig und Hive, um Big Data in Windows Azure HDInsight zu analysieren Entwerfen und Implementieren von Big Data Prozessen, um Self-Service BI zu unterstützen Voraussetzungen Kenntnis der Data warehousing und Datenmodellierung Prinzipien. Vertrautheit mit Microsoft Excel und Microsoft SharePoint Server Prüfung Designing Business Intelligence Solutions with Microsoft SQL Server 2012 Dauer 5 Tage Hinweis Für diesen Kurs können Sie Voucher aus dem Microsoft Software Assurance Programm (SA-Voucher) einlösen. Dafür erhalten Sie pro Voucher einen kostenfreien Trainingstag. Kursmodule Module 1: Planning a BI Solution This modules discusses how to plan the components of a BI solution. Elements of a BI Solution Planning a BI Project The Microsoft BI Platform Lab: Planning a BI Solution Describe elements of a BI Solution. Describe considerations for a BI project. Describe how Microsoft products can be used to implement a BI solution.

3 Module 2: Planning a BI Infrastructure This modules explains how to plan an appropriate BI infrastructure for a given set of BI services. Planning a Data Warehouse Infrastructure Planning an ETL Infrastructure Planning Analysis Services Infrastructure Planning Reporting Services Infrastructure Lab: Planning a BI Infrastructure Plan a data warehouse infrastructure Plan an ETL infrastructure Plan Analysis Services infrastructure Plan Reporting Services infrastructure Module 3: Designing a Data Warehouse This module explain how to design a data warehouse for a given set of user requirements. Designing a Logical Schema Designing a Physical Schema Lab: Designing a Data Warehouse Logical Schema Lab: Designing a Data Warehouse Physical Schema Select a data modeling approach. Design a physical data warehouse schema Module 4: Designing an ETL Solution This module explains how to design an ETL solution for a data warehouse. Planning for Data Extraction Planning for Data Transformation Planning for Data Loading Planning for SSIS Package Deployment Lab: Designing an ETL Solution

4 Plan data extraction in an ETL solution. Plan data transformation in an ETL solution. Plan data loading in an ETL solution. Plan SSIS package deployment Module 5: Designing Analytical Data Models This module explains how to design analytical data models for specific BI scenarios. Options for Analytical Models Data Model Design Considerations Lab: Comparing Analytical Data Models Lab: Designing Data Models Describe options for analytical models. Describe considerations for cube design. Module 6: Planning a BI Delivery Solution This module explains how to choose an appropriate delivery solution for a given scenario. Considerations for BI Delivery Choosing a Delivery Approach Lab: Planning a BI Delivery Solution Describe considerations for planning a BI delivery solution. Choose an appropriate technique for a given scenario. Module 7: Designing a Reporting Services Solution This module explains how to design a Reporting Services solution. Designing Reports Considerations for Report Execution Planning a Reporting Solution Lab: Designing a Reporting Services Solution

5 Plan a reporting solution. Describe considerations for report data. Describe considerations for report execution. Module 8: Designing an Excel-Based Reporting Solution This module explains how to design a reporting solution that uses Excel. Using Excel for Data Reporting and Analysis PowerPivot in Excel Power View in Excel Lab: Designing an Excel Reporting Solution Use Excel to analyze data. Use PowerPivot to analyze data. Use Power View to analyze data. Module 9: Planning a SharePoint Server BI Solution This module explains how to design a SharePoint BI solution. Introduction to SharePoint Server as a BI Platform Planning Security for a SharePoint Server BI Solution Planning Reporting Services Configuration Planning PowerPivot Configuration Planning for PerformancePoint Services Lab: Planning a SharePoint Server BI Solution Describe key considerations for using SharePoint for BI Describe key considerations for security when using SharePoint for BI Plan the deployment and configuration of Reporting Services in SharePoint Integration Mode Plan the deployment and configuration of PowerPivot Plan PerformancePoint Services in a SharePoint site

6 Module 10: Monitoring and Optimizing a BI Solution This module explains how to monitor and optimize a BI solution. Overview of BI Monitoring Monitoring and Optimizing the Data Warehouse Monitoring and Optimizing Analysis Services Monitoring and Optimizing Reporting Services Lab: Monitoring and Optimizing a BI Solution Plan BI monitoring. Plan data warehouse monitoring and optimization. Plan Analysis Services monitoring and optimization. Plan Reporting Services monitoring and optimization Module 11: Planning BI Operations This module explains how to plan management and maintenance operations for a BI solution. Overview of BI Operations Automating ETL Tasks Post ETL Tasks Planning a Backup Strategy for a BI Solution Lab: Planning BI Operations Plan BI operations. Plan ETL operations. Plan post-etl tasks. Plan backup for a BI solution.