Microsoft Azureand BI

Dr Christian Geuer-Pollmann

@chgeuer / chgeuer@microsoft

http://aka.ms/chgeuer

whiteboard

clown

cloud

architect

code

monkey

that’s me

Microsoft

Azure

Relational

Storage

Big

Data

The BI

landscape

microsoft azure

azure globally

dublin, ireland

53°19'28.7"N 6°27'17.2"W

a.k.a. azure region „Europe North“

how the satellite sees it

how a helicopter sees it

how a cab driver sees it

ping power pipe

(many)

containers

what‘s in it

azure ‘cloud services’ (PaaS)

cloud service instance

Cloud Services

virtual machines

Openness

web sites (SaaS)

ftp, git, …

http, https

web sites

web sites

mixing through VNETs

mixing PaaSand IaaSwith VNETs

SQL on Azure

A Server Is Not A Machine

Azure SQL Database

The Basics

Server Provisioning

SQL Server on IaaS

IaaS Workloads – all about the app

Line of Business Applications

Custom Applications, CRM, CMS, ERP, Business Intelligence

Application Infrastructure

File Servers, Databases, Identity, Source Control

Developer, Test and Staging Environments

Quickly Provision and Un-provision Entire Environments

Hybrid Applications

Applications that span your data center and the cloud

SQL Server or Windows Azure SQL DB?

• Network transport (Tabular Data Stream)

• SQL dialect (Transact-SQL)

• Data access APIs (ADO.NET, ODBC, JDBC)

• Development tools (SQL Server Data Tools)

• Management tools (SQL Server Management Studio)

SQL Server

(IaaS)

Azure SQL Database

(PaaS)

Development Migrate Existing Apps Develop New Apps

Management Full Control Managed Service

Compatibility Full SQL Server Capabilities Based on SQL Server Technology

Big Data

Traditional E-Commerce Data Flow

New E-Commerce Big Data Flow

MapReduce

So How Does It Work?

So How Does It Work?

Hadoop

Traditional RDBMS vs. MapReduce

The Hadoop Ecosystem

Connect Excel to Hadoop with Power Query

Connect Excel to Hadoop with the Microsoft Hive ODBC Driver

Detailed Offerings

Hadoop on WindowsInsights to all users by activating new types of data

Microsoft Big Data Solution

Machine Learning

Azure Portal

Azure Ops Team

ML Studio

Data Scientist

HDInsight

Azure Storage

Desktop Data

Azure Portal &

ML API service

Azure Ops Team

ML API service Developer

ML Studio

• Access and prepare data

• Create, test and train models

• Collaborate

• One click to stage for

production via the API service

Azure Portal & ML API service

• Create ML Studio workspace

• Assign storage account(s)

• Monitor ML consumption

• See alerts when model is ready

• Deploy models to web service

ML API service and the Developer

• Tested models available as an url that can be called from any end point

48

BI on Azure

BI on Azure

SQL on Azure

SQL Server(on IaaS)

Hadoop

SQL DB (as a Service)

Own Hadoop(on IaaS)

HDInsight(Hadoop as a Service)

APS(PDW)

Machine

Learning

Document

DB

Excel

PowerBI

Intelligent

Systems Service