This document summarizes a Power BI webinar presented by Hariharan Rajendran. The webinar covered introductions to Power BI and its capabilities, data connectivity options like Import and DirectQuery, and the M and DAX query languages. It also provided overviews of additional Power BI features for data transformation, modeling, and visualization.

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Chennai Power BI Webinar – June 2017CPBIG Webinar
A Deep Dive into Power BI – Level 1
Hariharan Rajendran

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About Speaker
Hariharan
Lead Consultant, Your SQL Man (I) Pvt Ltd
 Solution Expert in MSBI
 SAP HANA & Business Objects
 Active Speaker in DAGEOP DATA DAY
& CSSUG
Blog
http://dataap.org/author/hariharanr/
Twitter
@imhariharanr
Linked In
hariharan-r-12635640
Email
hari@yoursqlman.com

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Topics
 Introduction to Microsoft Power BI
 Languages
 Data Connectivity
 Additional Features

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Introduction
 Business Intelligence Tool
 Power BI Cloud Services
 Power BI Desktop
 Power BI Mobile App
Type SQL Server Stack Power BI
Data Load (ETL) SSIS Power BI Query
Editor
Data Modeling SSAS Power BI Query
Editor
Measures SSAS Power BI / DAX
Reporting SSRS Power BI
Share and
Collaboration
SharePoint PowerBI.com

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Languages
M Language DAX Language

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Languages – M (Power Query)
 Scripting Language for Power
Query
 Data Transformation Engine
 Data Mashup and
Transformations
 Step by Step Language Structure

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Native Query – Query Folding
 Query engine pushes work to the data source
whenever possible
 Improved Performance
 Depends on source system
 Limited transformations
 Some of the data sources
 Relational Sources (SQL
Server, Oracle, etc..)
 OData Sources
 Active Directory & Exchange
 HDFS

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Languages – DAX
 Data Analysis eXpression Language
 SQL Server Analysis Services Tabular, Power Pivot in Excel
and Power BI
 Functional Language
 Analytical Engine
 It is very similar to Excel Functions

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M VS DAX
 Which language is better?
 M – Any data preparation & data transformation before
loading into model.
 DAX - Analytical Questions

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Data Connectivity
Import DirectQuery Live Connection
General
 ETL
 Data Download
 Select Specific Tables
 No data Download
 Queries triggered from report visuals
 Explore source objects from report
surface
 No data download
 Queries triggered from Report
visuals
Supported Data Sources All sources
 SQL Server
 Azure SQL Database
 Azure SQL Data Warehouse
 SAP HANA
 Oracle
 Teradata
SQL Server Analysis Services (Tabular &
Multidimensional)
Max number of Data Sources
per Report Unlimited One One
Data Transformations All Transformations Partial None
Mashup Capabilities
 Merge (Joins)
 Append (Union)
 Parametrized Queries
 Merge (Joins)
 Append (Union) None
Modelling Capabilities
 Relationships
 Calculated Columns
 Measures
 Hierarchies
 Calculated Column
 Measures
 Change Column Types None

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Additional Information
 Manipulate Data
 Date Table
 Synonyms

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Demo

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Q & A& A

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Thank You