•Microsoft Self-Service BI and Big Data Technologies
•Identify Microsoft technologies for self-service BI and Big Data analysis.
•Shared Data Sources and Datasets
•Create shared data sources and datasets for self-service reporting scenarios.
•Use report parts as reusable report elements.
•Using DAX in a PowerPivot Data Model
•Enhance data models with custom DAX expressions.
•Using Power Query to Import Data
•Use Power Query to import data from multiple data sources into an Excel data model
•Creating Dynamic Data Visualizations
•Use Power View to create interactive data visualizations in Excel
•Using Power Map
•Use Power Map to create visualizations of geographic data
•Managing PowerPivot Services in SharePoint Server
•Using Power View in SharePoint Server
•Manage PowerPivot services in SharePoint Server
•Use Power View to create interactive data visualizations in SharePoint Server
•Windows Azure HDInsight
•Use Windows Azure HDInsight to process Map/Reduce jobs
•Processing Big Data with Hive
•Use Hive to process Big Data
•Integrating Windows Azure HDInsight with Enterprise Data
•Integrate Windows Azure HDInsight with Self-Service BI Solutions
Detalii logistice si de pret
6-8 trainees 439 Euro without VAT / trainee (-20% off)
>=9 trainees 384 Euro without VAT / trainee (-30% off)
This five-day instructor-led course teaches students how to implement self-service Business Intelligence (BI) and Big Data analysis solutions using the Microsoft data platform. The course discusses the rationale for self-service BI, and describes how to use Microsoft SQL Server Reporting Services, Microsoft Excel, Microsoft SharePoint Server, and Microsoft Office 365 Power BI to create self-service data models and reports. The course then goes on to describe how to use Windows Azure HDInsight to perform Big Data analysis.
Note: This course is designed for customers who are interested in learning SQL Server 2012 or SQL Server 2014. It covers the new features in SQL Server 2014, but also the important capabilities across the SQL Server data platform.
The primary audience for this course is database and business intelligence (BI) professionals who are familiar with data warehouses and enterprise BI solutions built with SQL Server technologies. Experienced data analysts who want to learn how to use Microsoft technologies for self-service analysis and reporting will also benefit from attending this course.
•Describe key features and benefits of self-service BI.
•Use SQL Server Reporting Services to implement a self-service reporting solution.
•Use PowerPivot in Microsoft Excel to create analytical data models.
•Use Power Query in Microsoft Excel to import data into a data model.
•Use Power View in Microsoft Excel to create interactive data visualizations.
•Use Power Map in Microsoft Excel to create geographic data visualizations.
•Use Microsoft SharePoint Server to implement collaborative self-service BI solutions.
•Provision and use a Windows Azure HDInsight cluster for Big Data analysis.
•Use Pig and Hive to analyze big data in Windows Azure HDInsight.
•Design and implement Big Data processes to support self-service BI.