2014 09-22 mobile monday geuer-pollmann - print
DESCRIPTION
Presentation MobileMonday in DUS 22.09.2014 Dr. Christian Geuer-Pollmann - MicrosoftTRANSCRIPT
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Microsoft Azureand BI
Dr Christian Geuer-Pollmann
@chgeuer / chgeuer@microsoft
http://aka.ms/chgeuer
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whiteboard
clown
cloud
architect
code
monkey
that’s me
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Microsoft
Azure
Relational
Storage
Big
Data
The BI
landscape
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microsoft azure
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azure globally
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dublin, ireland
53°19'28.7"N 6°27'17.2"W
a.k.a. azure region „Europe North“
how the satellite sees it
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how a helicopter sees it
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how a cab driver sees it
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ping power pipe
(many)
containers
what‘s in it
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azure ‘cloud services’ (PaaS)
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cloud service instance
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Cloud Services
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virtual machines
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Openness
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web sites (SaaS)
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ftp, git, …
http, https
web sites
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web sites
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mixing through VNETs
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mixing PaaSand IaaSwith VNETs
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SQL on Azure
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A Server Is Not A Machine
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Azure SQL Database
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The Basics
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Server Provisioning
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SQL Server on IaaS
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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
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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
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Big Data
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Traditional E-Commerce Data Flow
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New E-Commerce Big Data Flow
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MapReduce
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So How Does It Work?
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So How Does It Work?
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Hadoop
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Traditional RDBMS vs. MapReduce
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The Hadoop Ecosystem
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Connect Excel to Hadoop with Power Query
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Connect Excel to Hadoop with the Microsoft Hive ODBC Driver
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Detailed Offerings
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Hadoop on WindowsInsights to all users by activating new types of data
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Microsoft Big Data Solution
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Machine Learning
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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
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48
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BI on Azure
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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