Pour cette seconde keynote des Journées SQL Server 2015, Galla Pupel et Jean-Pierre Riehl parlent de la communauté Data & BI Microsoft et invitent sur scène différents speakers pour faire un tour des nouveautés BI autour de Azure, SQL Server 2016 et Power BI
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Les journées
SQL Server 2015
Un événement organisé par GUSS
@GUSS_FRANCE
Galla Pupel, Membre du Board GUSS
Jean-Pierre Riehl, Membre du Board GUSS
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Agenda 2016
Janvier : DBA chez Criteo
Février : TechDays
Mars-Avril : Support MS
Avril-Mai : 24 hours of PASS French
Juin : SQLSaturday Paris 2016
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“Microsoft Power BI leads the Agile BI
pack.” – Forrester
“BI leaders can now consider Power
BI ready for broad deployment
without waiting for a change in
corporate policy for Office.” – Gartner
“Microsoft’s new, partner-friendly
approach to Power BI expands the
Microsoft ecosystem, giving BI users
improved functionality and options
for mobile and prebuilt solutions.” –
Gartner
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Sessions connexes
Nouveautés SSIS et SSRS – Grand Bleu – 14h
Ismail Ben Lamine
SSAS Multidim vs. Tabular, 4 ans après – Prairie – 12h
Charles-Henri Sauget
REX déploiement continu OLTP et SSIS – Rubis – 17h
Michel Perfetti et Guillaume Rouchon
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Example Solutions
Fraud detection
Salesforecasting
Warehouse efficiency
Predictive maintenance
Extensibility
Microsoft Azure
Machine Learning Marketplace
New R scripts
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Built-in advanced analytics (CTP3)
In-database analytics
Built-in to SQL Server
Analytic Library
T-SQL Interface
Relational Data
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Data Scientist
Interact directly
with data
Data Developer/DBA
Manage data and
analytics together
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R
RIntegration
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Capability
Extensible In-database analytics, integrated with
R, exposed through T-SQL
Centralize enterprise library for analytic models
Benefits
SQL Server
Analytical Engines
Full R Integration
Fully Extensible
Data Management Layer
Relational Data
T-SQL Interface
Stream Data In-Memory
Analytics Library
Share and Collaborate
Manage and Deploy
R +
Data Scientists
Business
Analysts
Publish algorithms, and
interact directly with Data
Analysis through TSQL, tools,
and vetted algorithms
DBAs
Manage storage and
analytics together
Advanced Analytics (CTP3)
Faster analytics with In-database processing
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Business Scenarios
Recommendations,
customer churn,
forecasting, etc.
Perceptual Intelligence
Face, vision
Speech, text
Personal Digital Assistant
Cortana
Dashboards and
Visualizations
Power BI
Machine Learning
and Analytics
Azure
Machine Learning
Azure
Stream Analytics
DATA
Business
apps
Custom
apps
Sensors
and devices
INTELLIGENCE ACTION
People
Automated
Systems
Big Data Stores
Azure
SQL Data Warehouse
Information
Management
Azure
Data Factory
Azure
Data Catalog
Azure
Event Hub
Azure
Data Lake Store
Azure
HDInsight (Hadoop)
Azure
Data Lake Analytics
Cortana Analytics Suite
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Sessions connexes
Power BI - Embedding
Aurélien Prévot et William Bordes
Power BI, nouveautés, architecture et hybride
Cédric Charlier
Power BI - Dev
Joelle Ruelle et Gilles Pommier
Power BI - Dataviz
Jérémie Loscos et Benoit Mangiapan