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Sessions Found: 18
Machine Learning is a subfield of computer science concerned with systems that learn from data. In this session, learn how a Microsoft Azure Machine Learning solution comes to life: From the creation of a workspace, to the preparation of data, to experimentation with machine learning algorithms, and then finally to the integration and integration of predictive insights.

This session has been specifically designed to describe machine learning fundamentals, and to help enable and inspire existing developers taking their first steps to leverage cloud-based predictive models delivered with Azure Machine Learning. It is guaranteed to thrill you with potential, and excite you with the relative ease in which it can be accomplished.
Speaker:

Session Type:
Regular Session (60 minutes)

Track:
Cloud & Dev

Level: Intermedia

Session Code:

Date: November 28

Time: 2:00 PM - 3:00 PM

Room: Room 6 Cloud & Dev

Two almost contemporary events have recently marked the Microsoft's BI offer: the release of Power BI under GA license and the acquisition of Datazen.
Join these new products with the long-lasting Reporting Services (SSRS), means that now developers have a wide range of tools available for reporting, dashboarding, data analysis, both for desktop and mobile devices. So the question is: which one to choose? What are the key factor for supporting the correct decision?
This session we'll focus on Mobile BI reporting; we will provide a clear and understandable overview of each product, highlighting strengths and weaknesses. 
You'll be able to see how it can be done Mobile BI with Reporting Services, even tough it isn't a immediate feature, as is for Power BI and Datazen. 
Based on some real examples we will set out a comparison matrix to find the best way to meet your needs with the right reporting tool. 
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (60 minutes)

Track:
Analytics & Reporting

Level: Intermedia

Session Code:

Date: November 28

Time: 11:00 AM - 12:00 PM

Room: Room 7 - Analytics & Reporting

Two almost contemporary events have recently marked the Microsoft's BI offer: the release of Power BI under GA license and the acquisition of Datazen.
Join these new products with the long-lasting Reporting Services (SSRS), means that now developers have a wide range of tools available for reporting, dashboarding, data analysis, both for desktop and mobile devices. So the question is: which one to choose? What are the key factor for supporting the correct decision?
This session we'll focus on Mobile BI reporting; we will provide a clear and understandable overview of each product, highlighting strengths and weaknesses. 
You'll be able to see how it can be done Mobile BI with Reporting Services, even tough it isn't a immediate feature, as is for Power BI and Datazen. 
Based on some real examples we will set out a comparison matrix to find the best way to meet your needs with the right reporting tool. 
Speaker:

Accompanying Materials:

Session Type:
Regular Session (60 minutes)

Track:
Analytics & Reporting

Level: Intermedia

Session Code:

Date: November 28

Time: 9:30 AM - 10:30 AM

Room: Room 7 - Analytics & Reporting

Introducing Microsofts Onpremise Mobile BI solution, Datazen, a leader in mobile business intelligence and data visualization on Windows, iOS and Android devices serving for the on-premise mobile BI. Furthermore i will go through the latest release and present new functionality. 

I want to show you how simply and easy it is to gets started and display insights that you can use to improve your business. This session will contain a demo of the UI, creation of dashboards, KPIs and a walk-through of the current architecture and security of the software.
Speaker:

Session Type:
Regular Session (60 minutes)

Track:
Analytics & Reporting

Level: Beginner

Session Code:

Date: November 28

Time: 2:00 PM - 3:00 PM

Room: Room 7 - Analytics & Reporting

What is NoSQL? What is DocumentDB? How could this technology change the way we manage data?
We’ll discover together how DocumentDB works, how we could use this new exciting product and which are its pros and cons compared to relational databases as SQL server.
This session covers how configure a new DocumentDB instance in Azure, how to save and query data and the basic guidelines about organizing complex data as JSON documents.
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (60 minutes)

Track:
Cloud & Dev

Level: Beginner

Session Code:

Date: November 28

Time: 4:30 PM - 5:30 PM

Room: Room 6 Cloud & Dev

L'utilizzo di un Object-Relational Mapper nelle applicazioni non è sempre ben visto dai DBA, per il fatto che il codice SQL generato dal framework, insieme agli altri "automatismi", non sempre incontrano i loro favori. 
In questa sessione parleremo di quali accorgimenti prendere per far sì che il nostro O/RM vada d'accordo con il nostro DBA, ma soprattutto con il nostro Database.
Speaker:

Session Type:
Regular Session (60 minutes)

Track:
Cloud & Dev

Level: Intermedia

Session Code:

Date: November 28

Time: 12:00 PM - 1:00 PM

Room: Room 6 Cloud & Dev

This is an evergreen session, it follows Azure SQL Database evolution and each time is different: it looks at how to implement, maintain and evolve/update solutions developed on Azure SQL Database, through the use of the tools like SQL Sever Management Studio and Visual Studio. Through examples and case studies, will be presented the versatility, power and reliability of the database as a service in the cloud.
Speaker:

Session Type:
Regular Session (60 minutes)

Track:
Cloud & Dev

Level: Intermedia

Session Code:

Date: November 28

Time: 3:00 PM - 4:00 PM

Room: Room 6 Cloud & Dev

Do you have many to many relationship between your dimensions? For example, a person having many accounts at the same bank and accounts being held by more than one person? Or do you have one to many, a patient having mutliple diagnosis? How do you analyze this data? Many to many in SSAS can help you.

In this session, you will learn step by step on how to implement many to many in SSAS. In addition, you will learn the benefits of using many to many, by looking at the real life example of the implementation with healthcare data.

After this session, you will have better understanding of many to many in SSAS, plus you will be able to solve some of common business problems that arise daily.
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (60 minutes)

Track:
Analytics & Reporting

Level: Beginner

Session Code:

Date: November 28

Time: 4:30 PM - 5:30 PM

Room: Room 7 - Analytics & Reporting

In this session you will learn how Microsoft Power BI can deliver data insights with Software as a Service (SaaS), and specifically what can be achieved by the developer. You will learn that the new generation of Power BI enables developers to configure real-time dashboard scenarios.

Demonstrations will illustrate how to configure real-time dashboards by pushing data directly to Power BI by using the Power BI REST API, and also by processing data and events by using Azure Stream Analytics.

This session will be of interest to architects, developers and IT implementers looking to understand and evaluate the Power BI capabilities.
Speaker:

Session Type:
Regular Session (60 minutes)

Track:
Cloud & Dev

Level: Intermedia

Session Code:

Date: November 28

Time: 9:30 AM - 10:30 AM

Room: Room 6 Cloud & Dev

Microsoft Power Query for Excel is a new set of experiences to empower business analysts and end users to discover, acquire, and transform data of any shape and size.
Speaker:

Session Type:
Regular Session (60 minutes)

Track:
Analytics & Reporting

Level: Intermedia

Session Code:

Date: November 28

Time: 3:00 PM - 4:00 PM

Room: Room 7 - Analytics & Reporting

SQL Server 2016 porterà tantissime novità, tra cui, per quanto riguarda la programmabilità, il supporto al formato JSON. vedremo com'è possibile serializzare i risultati delle nostre query tramite la clausola FOR JSON, inclusa negli ultimi rilasci della piattaforma.
Speaker:

Session Type:
Regular Session (60 minutes)

Track:
SQL Server 2016

Level: Intermedia

Session Code:

Date: November 28

Time: 11:00 AM - 12:00 PM

Room: Room 8 - SQL Server 2016

Query Store è la nuova funzionalità di SQLServer 2016 che permette la storicizzazione nel tempo delle prestazioni delle query, oltre i riavvii della macchina.  Consente l'archiviazione delle prestazioni  del piano di esecuzione e di ogni singola esecuzione delle query, permettendone l'analisi a posteriori.
Questo meccanismo permette di effettuare analisi sofisticate delle query e delle loro prestazioni. E’ possibile correlare il cambiamento delle performances a quello del piano di esecuzione o ad altri eventi, seguire nel tempo le prestazioni di determinate porzioni del codice, individuare regressioni oppure identificare le query che hanno degradato nelle ultime esecuzioni.
E possibile inoltre seguire nel tempo l’evoluzione di un piano di esecuzione in funzione di cambiamenti, quali cambio delle statistiche, modifiche dello schema o presenza di indici.
La sessione entra nel dettaglio della funzionalità e ne illustra l’utilizzo in un’ottica di ottimizzazione e troubleshooting.
Speaker:

Session Type:
Regular Session (60 minutes)

Track:
SQL Server 2016

Level: Intermedia

Session Code:

Date: November 28

Time: 3:00 PM - 4:00 PM

Room: Room 8 - SQL Server 2016

Una delle nuove (tante) funzionalità di SQL Server 2016 è il supporto integrato per tabelle di dati temporali. Con una tabella temporale può essere reperito il valore di ciascun record in qualsiasi momento nel tempo. Questo può essere utile per "viaggiare nel tempo", per fare audit, recuperare il vecchio valore di un campo in seguito a una modifica accidentale.
Speaker:

Session Type:
Regular Session (60 minutes)

Track:
SQL Server 2016

Level: Beginner

Session Code:

Date: November 28

Time: 4:30 PM - 5:30 PM

Room: Room 8 - SQL Server 2016

SQL Server 2016 delivers breakthrough mission critical performance, deeper insights across any data on many devices and enables the power of hyperscale cloud to unlock new hybrid scenarios. 
A quick look to Queries Store, enhanced security, temporal database and many more....
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (60 minutes)

Track:
SQL Server 2016

Level: Beginner

Session Code:

Date: November 28

Time: 9:30 AM - 10:30 AM

Room: Room 8 - SQL Server 2016

In-Memory OLTP è una tecnologia che ha subito in questa nuova versione significativi miglioramenti, tesi soprattutto a garantire la scalabilità su databases di maggiori dimensioni e un throughput più elevato, al fine di supportare carichi di lavoro sempre più elevati. Sono stati inoltre eliminati vincoli e limitazioni relative a tabelle e stored procedures per rendere più agevole la migrazione alla nuova piattaforma e trarne i relativi vantaggi. In questa sessione esploreremo le nuove features e quelle migliorate (altering Memory-optimized Tables and Natively Compiled Stored Procedures, Scalar UDF, supporto alle subqueries nelle Natively Complied Stored Procedures ecc.).
Speaker:

Session Type:
Regular Session (60 minutes)

Track:
SQL Server 2016

Level: Intermedia

Session Code:

Date: November 28

Time: 2:00 PM - 3:00 PM

Room: Room 8 - SQL Server 2016

Reporting Services offre la possibilità di illustrare dati in maniera visuale attraverso più di 50 grafici, che coprono la maggior parte dei Business Requirements di uno sviluppatore. Tuttavia, la richiesta di report sempre più intuitivi e graficamente innovativi ha creato l'esigenza di reportistiche più strutturate con grafici sempre più particolari .

In questa sessione verranno presentate prima delle linee guida generali per creare dei grafici classici più accattivanti e in linea con le nuove dinamiche del mercato BI; in secondo luogo verranno realizzati dei veri e propri grafici non nativi ma rimanendo sempre all'interno di Reporting Services.
Speaker:

Session Type:
Regular Session (60 minutes)

Track:
Analytics & Reporting

Level: Beginner

Session Code:

Date: November 28

Time: 12:00 PM - 1:00 PM

Room: Room 7 - Analytics & Reporting

Modern business is fast and needs to take decisions immediatly. It cannot wait that a traditional BI task that snapshots data at some time. Social data, Internet of Things, Just in Time don't undestand "snapshot" and needs working on streaming, live data. Microsoft offers two solutions, one on premise with SQL Server (Stream Insight), one on the Cloud with Azure (Stream Analytics). Let's see how they work.
Speaker:

Session Type:
Regular Session (60 minutes)

Track:
Cloud & Dev

Level: Intermedia

Session Code:

Date: November 28

Time: 11:00 AM - 12:00 PM

Room: Room 6 Cloud & Dev

Una query, durante la sua esecuzione, può essere sospesa decine o addirittura centinaia di volte. Una query rimane in esecuzione fino a quando, ad esempio, non richiede di accedere ad una risorsa esterna o fino a quando il thread che la gestisce non eccede il quantum di utilizzo della CPU. In SQL Server 2016 ci sono 815 buoni motivi per cui una query può attendere. In questa sessione, sulla base delle statistiche pubblicate dalla DMV sys.dm_os_wait_stats, verranno descritti e analizzati i wait type più frequenti in un carico di lavoro OLTP.
Speaker:

Session Type:
Regular Session (60 minutes)

Track:
SQL Server 2016

Level: Intermedia

Session Code:

Date: November 28

Time: 12:00 PM - 1:00 PM

Room: Room 8 - SQL Server 2016

Sessions Found: 18
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