Designing Self-Service Business Intelligence and Big Data Solutions

Esittely

Tällä kurssilla opit suunnittelemaan, asentamaan ja ylläpitämään BI-alustaa.

Kurssin kouluttajana toimii Vesa Tikkanen, joka on työskennellyt SQL Server arkkitehtina ja konsulttina vuodesta 2000 lähtien. BigData-ratkaisut, SQL Serverin kyselymoottori ja  muistinvarainen analysointimoottori ovat Vesan erityisosaamista. Hän toimii Onsightilla vaativien SQL-aiheiden kouluttajana ja pystyy monipuolisen kokemuksensa ansiosta tarjoamaan osallistujille käytännön ratkaisumalleja ja näkemyksiä.
Vesa on Microsoft Certified Master -tasoinen osaaja eli hänellä on poikkeuksellinen syväosaaminen kouluttamistaan aiheista ja mm. SQL Server 2008 ja Microsoft Certified Solution Master: Data Platform sertifioinnit.

Kenelle

Kurssi on ensisijaisesti suunnattu tietokanta- ja BI ammattilaisille sekä kokeneille analyytikoille.

Esitietovaatimukset

SQL Server DW- ja BI-teknologioiden perustuntemus

Kurssin sisältö

Module 1: Introduction to Self-Service Business Intelligence

  • Extending Enterprise BI
  • Microsoft Self-Service BI and Big Data Technologies

Lab : Exploring an Enterprise BI Solution

  • Viewing Reports
  • Analyzing Data in a Data Model
  • Analyzing Data from Multiple Sources
After completing this module, you will be able to:
  • Describe ways in which an enterprise BI solution can be extended.
  • Identify Microsoft technologies for self-service BI and Big Data analysis.

Module 2: Self-Service Reporting

  • Introduction to Self-Service Reporting
  • Shared Data Sources and Datasets
  • Report Parts

Lab : Implementing Self-Service Reporting

  • Using Report Builder
  • Simplifying Data Access for Business Users
  • Using Report Parts
After completing this module, you will be able to:
  • Support self-service reporting with Report Builder.
  • Create shared data sources and datasets for self-service reporting scenarios.
  • Use report parts as reusable report elements.

Module 3: Self-Service Data Modeling with PowerPivot

  • Creating Data Models in Excel with PowerPivot
  • Using DAX in a PowerPivot Data Model

Lab : Self-Service Data Modeling with PowerPivot

  • Creating a Data Model with PowerPivot
  • Enhancing a Data Model
  • Extending a Data Model
After completing this module, you will be able to:
  • Use PowerPivot to create tabular data models in Excel.
  • Enhance data models with custom DAX expressions.

Module 4: Importing Data with Power Query

  • Introduction to Power Query
  • Using Power Query to Import Data

Lab : Using Power Query

  • Importing data with Power Query
  • Merging Queries
  • Adding a Query to a Data Model
After completing this module, you will be able to:
  • Enable Power Query and use it to search for data online
  • Use Power Query to import data from multiple data sources into an Excel data model

Module 5: Visualizing Data with Power View in Microsoft Excel

  • Introduction to Power View
  • Creating Dynamic Data Visualizations

Lab : Visualizing Data with Power View

  • Using Power View
After completing this module, you will be able to:
  • Describe the features of Power View
  • Use Power View to create interactive data visualizations in Excel

Module 6: Visualizing Geographic Data with Power Map

  • Introduction to Power Map
  • Using Power Map

Lab : Visualizing Geographic Data with Power Map

  • Creating a Power Map Tour
  • Visualizing Data Over Time
After completing this module, you will be able to:
  • Describe the features and usage scenarios of Power Map
  • Use Power Map to create visualizations of geographic data

Module 7: Collaborative BI with Microsoft SharePoint Server

  • Managing PowerPivot Services in SharePoint Server
  • Using Power View in SharePoint Server

Lab : Using SharePoint Server for BI Collaboration

  • Sharing a PowerPivot Workbook
  • Managing PowerPivot Data Refresh
  • Using Power View in SharePoint Server
After completing this module, you will be able to:
  • Share a PowerPivot workbooks in SharePoint Server
  • Manage PowerPivot services in SharePoint Server
  • Use Power View to create interactive data visualizations in SharePoint Server

Module 8: The Windows Azure Marketplace Data Market

  • Introduction to the Windows Azure Marketplace
  • Using Windows Azure Marketplace Data in Microsoft Excel

Lab : Using the Windows Azure Marketplace

  • Finding Data in the Windows Azure Marketplace
  • Using Windows Azure Marketplace Data in Excel
After completing this module, you will be able to:
  • Find data in the Windows Azure Marketplace
  • Import Windows Azure Marketplace data into Microsoft Excel

Module 9: Cloud Collaboration with Power BI for Microsoft Office 365

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

Lab : Using Power BI

  • Provisioning Power BI
  • Viewing Reports and Querying Data in Power BI
  • Sharing Queries
  • Cloud-Enabling a Data Source
After completing this module, you will be able to:
  • Browse reports in a Power BI site
  • Use Q&A to query data in a Power BI site
  • Share Power Query queries with other organizational users
  • Publish on-premises data sources to the cloud

Module 10: Introduction to Big Data and Windows Azure HDInsight

  • 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

  • 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

  • Automating Big Data Processing Tasks
  • Integrating Windows Azure HDInsight with Enterprise Data

Lab : Creating a Big Data Solution

  • Using HCatalog to Abstract Storage Locations
  • Using Oozie to Coordinate a Workflow
  • Using Sqoop to Export Data
After completing this module, you will be able to:
  • Design and implement an automated Big Data processing solution
  • Integrate Windows Azure HDInsight with Self-Service BI Solutions
+ Lue koko esittely

Designing Self-Service Business Intelligence and Big Data Solutions

Kieli:
Suomi
Kesto:
2 Päivää
Paikka:
Onsight Helsinki Oy, Vilhonkatu 5 A (2. krs)
Ota yhteyttä

Koulutusohjelmalla / kurssilla ei ole aktiivisia aloituspäivämääriä, jos olet kiinnostunut kurssista ota yhteyttä.

Ota yhteyttä

Ottakaa yhteyttä:

 

  • Kenttä on validointitarkoituksiin ja tulee jättää koskemattomaksi.

Saattaisit olla kiinnostunut myös näistä

Datan hallinta

Data Management Fundamentals and DAMA Certification Preparation

Lue lisää
Ketterä kehitys

SQL perusteet

Lue lisää
Ketterä kehitys

Datatyön projektipäällikön koulutusohjelma

Lue lisää
+