20467: Designing Self-Service Business Intelligence and Big Data Solutions

Kurso aprašymas

About this course

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.

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.
  • 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.

Kurso turinys

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: Introduction to Big Data and Microsoft 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

Module 9: 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

Module 10: Implementing Big Data Processing Solutions with Microsoft 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

Reikalavimai klausytojams

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.

Tvarkaraštis

Auditoriniai mokymai

Pradžios data Trukmė, d. Kurso pavadinimas Kaina, € Statusas
2022-09-26 5 20761: Querying Data with Transact-SQL 1500
2022-10-03 5 20764: Administering a SQL Database Infrastructure 1500
2022-10-17 5 20767: Implementing a SQL Data Warehouse 1500
2022-09-26 4 10987: Performance Tuning and Optimizing SQL Databases 1400
Užklausti 5 20762: Developing SQL Databases 1500
2022-11-07 5 20765: Provisioning SQL Databases 1500
2022-10-26 3 10988: Managing SQL Business Intelligence Operations 1200
2022-10-17 3 20768: Developing SQL Data Models 1200
2022-11-14 3 10989: Analyzing Data with Power BI 1200
2022-10-10 5 10990: Analyzing Data with SQL Server Reporting Services 1500
Užklausti 5 Administering a SQL Database Infrastructure (nuotolinė klasė - ENG) 1500 Organizuojamas
Užklausti 5 Querying Data with Transact-SQL (nuotolinė klasė - ENG) 1500 Organizuojamas
Užklausti 3 Introduction to SQL Databases (nuotolinė klasė - ENG) 1200 Organizuojamas
Užklausti 5 Provisioning SQL Databases (nuotolinė klasė - ENG) 1500 Organizuojamas
Užklausti 5 Querying Microsoft SQL Server (nuotolinė klasė - ENG) 1500 Organizuojamas
Užklausti 5 Administering Microsoft SQL Server Databases (nuotolinė klasė - ENG) 1500 Organizuojamas
Užklausti 2 Querying SQL Databases Using T-SQL (nuotolinė klasė - ENG) 1100 Organizuojamas
Užklausti 2 Intermediate Querying SQL Databases Using T-SQL (nuotolinė klasė - ENG) 1100 Organizuojamas
Užklausti 5 Developing SQL Databases (nuotolinė klasė - ENG) 1500 Organizuojamas
Užklausti 5 Implementing a SQL Data Models and Reports with Microsoft SQL Server (nuotolinė klasė - ENG) 1500 Organizuojamas
Užklausti 5 Analyzing Data with SQL Server Reporting Services (nuotolinė klasė - ENG) 1500 Organizuojamas
Užklausti 5 Implementing a SQL Data Warehouse (nuotolinė klasė - ENG) 1500 Organizuojamas
Užklausti 5 Microsoft Business Intelligence end to end with SQL Server 2016 (nuotolinė klasė - ENG) 1500 Organizuojamas

Nuotoliniai mokymai

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