20467 Designing Business Intelligence Solutions with microsoft SQL Server

Inicio:
29-01-2018 / 16:00
Fin:
02-02-2018 / 21:00
Horas:
25
Días:

lunes a viernes

Newsletter:
Imagen_Newsletter:

tlp-sql-server-logo.jpg

Precio:
995€

MCSE-INTELLIGENCE-BUSINESS-idese-formacionThis 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.


Audience Profile
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.

At Course Completion
After completing this course, students will be able to:

  • 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.
  • Find and use public data in the Windows Azure Marketplace.
  • Use microsoft Office 365 Power BI to implement cloud-based 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.

This course requires that you meet the following prerequisites:
Knowledge of data warehousing and data modeling principles.
Familiarity with microsoft Excel and microsoft SharePoint Server 2013.

Course Outline
Module 1: Introduction to Self-Service Business Intelligence
This module introduces self-service BI.

Lessons
Extending Enterprise BI
Microsoft Self-Service BI and Big Data Technologies
Lab : Exploring an Enterprise BI Solution

Module 2: Self-Service Reporting
This module describes how to use Report Builder as a tool for self-service microsoft SQL Server Reporting Services report authoring.

Lessons
Introduction to Self-Service Reporting
Shared Data Sources and Datasets
Report Parts
Lab : Implementing Self-Service Reporting

Module 3: Self-Service Data Modeling with PowerPivot
This module describes how to use PowerPivot in microsoft Excel to create self-service data models for analysis.
Lessons
Creating Data Models in Excel with PowerPivot
Using DAX in a PowerPivot Data Model
Lab : Self-Service Data Modeling with PowerPivot

Module 4: Importing Data with Power Query
This lesson describes how to use Power Query in microsoft Excel to find and import data.

Lessons

Introduction to Power Query
Using Power Query to Import Data
Lab : Using Power Query

Module 5: Visualizing Data with Power View in microsoft Excel
This module describes how to use Power View in microsoft Excel to create interactive data visualizations.

Lessons
Introduction to Power View
Creating Dynamic Data Visualizations
Lab : Visualizing Data with Power View

Module 6: Visualizing Geographic Data with Power Map
This module describes how to use Power Map in microsoft Excel to create geographic data visualizations.

Lessons
Introduction to Power Map
Using Power Map
Lab : Visualizing Geographic Data with Power Map

Module 7: Collaborative BI with microsoft SharePoint Server
This module describes how to use microsoft SharePoint Server in an enterprise environment to enable users to share PowerPivot workbooks and Power View reports.

Lessons
Sharing PowerPivot Workbooks
Managing PowerPivot Services in SharePoint Server
Using Power View in SharePoint Server
Lab : Using SharePoint Server for BI Collaboration


Module 8: The Windows Azure Marketplace Data Market
This module describes how to find and use datasets in the Windows Azure Marketplace.

Lessons
Introduction to the Windows Azure Marketplace
Using Windows Azure Marketplace Data in microsoft Excel
Lab : Using the Windows Azure Marketplace

Module 9: Cloud Collaboration with Power BI for microsoft Office 365
This module introduces Power BI for microsoft Office 365, and describes how to use it for cloud-based, collaborative self-service BI.

Lessons

Introduction to Power BI
Natural Language Queries with Q&A
Sharing Queries
The Data Management Gateway
Lab : Using Power BI

Module 10: Introduction to Big Data and Windows Azure HDInsight
This module introduces Big Data concepts and describes the key features of Windows Azure HDInsight.

Lessons

Introduction to Big Data
Windows Azure HDInsight
Lab : Using Windows Azure HDInsight
Provisioning a Windows Azure HDInsight Cluster
Processing Data with HDInsight
Analyzing Big Data in microsoft Excel
After completing this module, you will be able to:
Describe key features of Big Data.
Use Windows Azure HDInsight to process Map/Reduce jobs

Module 11: Processing Big Data with Pig and Hive
This module introduces Pig and Hive, and describes how you can use them to process Big Data in Windows Azure HDInsight.

Lessons

Processing Big Data with Pig
Processing Big Data with Hive
Lab : Processing Big Data with Pig and Hive
Processing Big Data with Pig
Processing Big Data with Hive
After completing this module, you will be able to:
Use Pig to process Big Data
Use Hive to process Big Data

Module 12: Implementing Big Data Processing Solutions with Windows Azure HDInsight
This module introduces key Windows Azure HDInsight technologies that enable you to design and implement automated, repeatable Big Data processing solutions that support self-service BI.

Lessons
Automating Big Data Processing Tasks
Integrating Windows Azure HDInsight with Enterprise Data
Lab : Creating a Big Data Solution

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