Build Schedule

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Sessions Found: 7
Positionnement des technologies de l'analyse prédictive sous la plateforme de Microsoft: Azure ML, Revolution Analytics (R), HDInsight Spark, SQL Server 2016. Discussion des avantages et differentiation de Azure ML par rapport aux plateformes SAS, IBM SPSS, et IBM Watson Analytics.
Introduction à l'approche requise pour l'analyse prédictive et presentation d'une démonstration de Azure ML.
Integration des données dans Excel, Power BI et applications .NET.
Speaker:

Session Type:
Regular Session (60 minutes)

Track:
Azure ML

Level: Intermedia

Session Code:

Date: November 21

Time: 9:45 AM - 10:45 AM

Room: 2

Discussion d'un scénario précis: création d'un modèle de données pour prédire quels passagers ont survécu au naufrage du Titanic.
Exploration des données dans Excel et Power BI
Discussion des concepts statistiques : sélection des variables (co-dépendance)
Performance de divers algorithmes, et explications de leurs comportements
Comparaison de performance : faux positifs et faux négatifs, ROC, Recall, Lift
Optimisation des paramètres d’un algorithme
Opérationnalisation du modèle
Speaker:

Session Type:
Regular Session (60 minutes)

Track:
Azure ML

Level: Advanced

Session Code:

Date: November 21

Time: 11:00 AM - 12:00 PM

Room: 2

The Query Store feature maintains a history of query execution plans with their performance data, allowing you to quickly identify queries that are performing slower recently, allowing administrators or developers to force the use of an older, better plan if required. The Query Store is configured at the individual database level and not on the instance level.
This session will discuss the query store and what you can do on an ad-hoc basis or regularly.
Speaker:

Session Type:
Regular Session (60 minutes)

Track:
Enterprise Database Administration & Deployment

Level: Advanced

Session Code:

Date: November 21

Time: 2:30 PM - 3:30 PM

Room: 2

The Azure SQL Data Warehouse is the industry’s first elastic scale, relational SQL data warehouse. Azure SQL DW offers elastic performance and scale to 1+ PB, market leading price/performance, and true SQL experience across structured and unstructured data.
This session will discuss and inform you about  What is Azure SQL Data Warehouse? How and why you could use it?

-Pay for what you need, when you need it
-Query across both relational and non-relational data
-Grow, shrink, or pause compute resources
-Massively parallel processing and columnstore indexes for breakthrough performance
-Works seamlessly with Power BI, Machine Learning, HDInsight, and Data Factory
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (60 minutes)

Track:
Application & Database Development and Administration

Level: Intermedia

Session Code:

Date: November 21

Time: 11:00 AM - 12:00 PM

Room: 1

Data access can be easy to set up in your applications with wizards and ORMs, but sometimes your queries are just not as fast as you think they should be – especially on those tables that are getting bigger and bigger. In this session, we will take a peek under the hood and see how SQL server answers the questions you ask of it. This is an introductory session, but it will be jam-packed with demos and useful tips that you will be able to use to make your applications more responsive.
Speaker:

Accompanying Materials:

Session Type:
Regular Session (60 minutes)

Track:
Application & Database Development and Administration

Level: Beginner

Session Code:

Date: November 21

Time: 9:45 AM - 10:45 AM

Room: 1

What is a modern DBA? Well that depend on what you are doing in your day to day job. The modern DBA is the guy that uses the right tools for the job.  SQL Server come with many tools (SSMS SSIS, SSRS) but these tools are not always the right tools for the job. This session will show you tip and trick and different tools for different job. Some of these tools tip and trick may become very useful in your day to day job. 
Speaker:

Session Type:
Regular Session (60 minutes)

Track:
Application & Database Development and Administration

Level: Intermedia

Session Code:

Date: November 21

Time: 1:00 PM - 2:00 PM

Room: 1

Cette conférence a comme objectif de démontrer comment créer des visualisations pertinentes dans Excel à l'aide de Power View et comment utiliser Sharepoint ou Power BI pour permettre aux membres d'une même équipe de créer des visualisations  sur des modèles de données partagés et de consulter les visualisations des autres membres de leur équipe. Depuis le 24 juillet dernier, Power BI (tout comme Power BI Desktop) utilise un engin de visualisation qui n'est plus Power View (et qui ne requière plus Silverlight) et cette conférence propose également d'illustrer les principales différences entre les deux engins de visualisation.

Speaker:

Session Type:
Regular Session (60 minutes)

Track:
BI Information Delivery

Level: Intermedia

Session Code:

Date: November 21

Time: 1:00 PM - 2:00 PM

Room: 2

Sessions Found: 7
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