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Sessions Found: 29
 HDInsight
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (70 minutes)

Track:
Big Data

Level: Beginner

Session Code:

Date: October 03

Time: 2:10 PM - 3:20 PM

Room: Hands On IoT

The traditional data warehouse has been the key of our business analytics architecture for many years. In a world ruled by the data culture concept, new challenges are emerging: data growth; unstructured data; hidden patterns and cloud-born data.
Which is the best architecture in order to get over these new challenges? 
Join this session and learn how to enable the Modern Data Warehouse in your organization using Cubes, HDInsight, AzureML, Stream Analytics and DocumentDB. All through a continuous example using a retail shop scenario.
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (70 minutes)

Track:
Big Data

Level: Intermedia

Session Code:

Date: October 03

Time: 3:50 PM - 5:00 PM

Room: Auditorium-1

Database testing can be challenging, for a number of reasons that will be touched on in this session. 

We will discuss the motivations for unit testing, as well as some of the particular challenges involved in testing database code and integrating this testing into the software development process.

Over the years, a number of tools and approaches have been developed to address these difficulties, and we will draw comparisons between some of these in order to highlight the questions you need to consider in choosing a testing approach for your own projects.
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (70 minutes)

Track:
SQL

Level: Intermedia

Session Code:

Date: October 03

Time: 2:10 PM - 3:20 PM

Room: Auditorium-2

Azure Machine Learning
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (70 minutes)

Track:
Big Data

Level: Intermedia

Session Code:

Date: October 03

Time: 5:10 PM - 6:20 PM

Room: Hands On IoT

Azure Stream Analytics + Azure Event Hubs
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (70 minutes)

Track:
Big Data

Level: Beginner

Session Code:

Date: October 03

Time: 12:00 PM - 1:10 PM

Room: Hands On IoT

Operational Analytics & In-Memory Analytics are the 2 new amazing options that Microsoft is offering in the upcoming SQL Server 2016. 
Build up Columnstore Analytics over your existing OLTP Clustered Table with a new updatable Nonclustered Columnstore Index, or use the In-Memory Updatable Nonclustered Columnstore Index over the InMemory OLTP Tables.
Discover what features of manageability and monitoring are being added to the SQL Server 2016.
This session will be delivering an overview of what is new and how it is going to change the landscape of OLTP & OLAP.
Speaker:

Accompanying Materials:

Session Type:
Extended Session (90 minutes)

Track:
BI

Level: Intermedia

Session Code:

Date: October 03

Time: 10:40 AM - 12:10 PM

Room: Auditorium-Magno

	It's been more than two years after the release of the AlwaysOn Availability Groups and every day we see more and more architects implementing this technology. Either on new projects or as a new solution on existing systems, at the design stage everything looks feasible and possible, but sometimes small details may cause a headache during the implementation phase. In this session, we will go through common cases, and others not so common, when implementing Availability Groups in a production environment. Dive with me into these AG cases so when one of these situations pops during your professional life you will already be armed with the knowledge to resolve it!
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (70 minutes)

Track:
SQL

Level: Beginner

Session Code:

Date: October 03

Time: 5:10 PM - 6:20 PM

Room: Auditorium-2

So between your management and Microsoft, it’s been decided that you are moving your SQL Server workloads to the cloud. Whether it’s Microsoft Azure SQL Database or running SQL Server in a VM, there are unique performance tuning challenges that are different in a cloud environment. Just like when you moved your SQL Servers from physical to virtual environments, you will learn new techniques for tuning workloads. In this session you will learn about:

•	Optimizing TempDB in an Azure VM
•	Reducing latency between application VMs and database VMs
•	Right sizing Azure VMs for performance and cost
•	Striping I/O across devices in Azure VMs
•	Performance Tuning in Azure DB

You will learn about techniques that will not just improve your system performance, but save you company money, which can be easily quantified just in time for your performance review. 
Speaker:

Session Type:
Regular Session (70 minutes)

Track:
SQL

Level: Beginner

Session Code:

Date: October 03

Time: 10:40 AM - 11:50 AM

Room: Auditorium-2

How to create simple mobile dashboards with DataZen. 
Speaker:

Session Type:
Regular Session (70 minutes)

Track:
Other

Level: Beginner

Session Code:

Date: October 03

Time: 5:10 PM - 6:20 PM

Room: Auditorium-1

This session will present an overview of existing Big Data Services in the Microsoft Azure cloud. We will discuss important features available from HDInsight 3.2 onwards such as “Cluster scaling” (Hadoop online scaling) and “Hive on Tez” (interactive queries), as well as use cases for this platform.
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (70 minutes)

Track:
Big Data

Level: Beginner

Session Code:

Date: October 03

Time: 2:10 PM - 3:20 PM

Room: Auditorium-1

Lately Microsoft has been announcing a series of new features in this huge product that is SQL Server, in this session i will talk about the new developments that were made for security purposes, such as Dynamic Data Masking; Row-level security and Always Encrypted.
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (70 minutes)

Track:
Other

Level: Beginner

Session Code:

Date: October 03

Time: 12:00 PM - 1:10 PM

Room: Auditorium-Magno

After its debut, in SQL Server 2014, the in-memory OLTP technology, also known as Hekaton, brought a new option to improve that very critical database, something that we were always waiting for. However, some limitations were disencouraging its implementation. Your problems are over! Join this session and discover what SQL Server 2016 is bringing to us, in order to make "The Faster" more "Simpler".
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (70 minutes)

Track:
SQL Server 2016

Level: Intermedia

Session Code:

Date: October 03

Time: 2:10 PM - 3:20 PM

Room: Auditorium-Magno

Azure DocumentDB is a new highly-scalable NoSQL database platform on Microsoft Azure, designed as a fully managed cloud service for modern web and mobile applications. Like other NoSQL platforms, DocumentDB supports schema-free designs, and scales across replicas with fast write performance and eventual consistency. But DocumentDB also offers several unique features that make it a compelling candidate for NoSQL scenarios, which you will learn about in this session. The platform is based on HTTP/REST, embraces JSON as a standard document format, and is supported by a wide range of SDKs for .NET, JavaScript, Java, Python, and Node.js. Without defining any index paths, new documents are queryable within milliseconds, using SQL grammar or LINQ. Learn these and other capabilities, including server-side JavaScript-based stored procedures, user-defined functions, triggers, tunable consistency, and more.
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (70 minutes)

Track:
Other

Level: Intermedia

Session Code:

Date: October 03

Time: 12:00 PM - 1:10 PM

Room: Auditorium-3

R is a language for data munging and stats that is growing in popularity.  Many Microsoft BI professionals are curious about R but few have used it on a real project yet.  This talk aims to introduce you to the capabilities of R by comparing the implementation of a typical BI task both in Power BI and in R.  We’ll load some data from a SQL database, explore the data and ask some basic questions, draw some insightful conclusions and then communicate these to a broader audience.  
The purpose of this session is to show R strengths and weaknesses to help you decide if R is a useful language that is worth investing time and effort to learn and master.
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (70 minutes)

Track:
Other

Level: Beginner

Session Code:

Date: October 03

Time: 9:00 AM - 10:10 AM

Room: Auditorium-3

Let them hack with Tessel.io’s
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (70 minutes)

Track:
Big Data

Level: Beginner

Session Code:

Date: October 03

Time: 10:40 AM - 11:50 AM

Room: Hands On IoT

Microsoft's SQL-over-Hadoop solution that was once only available in Analytics Platform System (APS) appliances will now be available in the next version of SQL Server. You'll be able to easily combine unstructured data stored in your Hadoop cluster with relational data using familiar T-SQL instructions. No expert Hadoop knowledge required, just the desire to unleash the power of your data, in any form or size!
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (70 minutes)

Track:
Big Data

Level: Beginner

Session Code:

Date: October 03

Time: 5:10 PM - 6:20 PM

Room: Auditorium-Magno

Are you a developer? Want to learn what PowerBI has for you? Then come to my session where you will learn how to enhance your applications with PowerBI experiences...
Speaker:

Session Type:
Regular Session (70 minutes)

Track:
SQL

Level: Intermedia

Session Code:

Date: October 03

Time: 2:10 PM - 3:20 PM

Room: Auditorium-3

Have you ever thought to take your PowerShell scripts to the next level? And if by doing so they become more robust and reusable?
In this session we will convert a simple PowerShell script in an advanced function and we will explore what we gain with this transformation.

Among others we will see how: 
 - Create / import modules from functions; 
 - Take advantage of: 
    - Input by pipeline; 
    - Common parameters to cmdlets as "Verbose", "-ErrorAction" and "-WarningAction"; 
    - Risk mitigation parameters as "-WhatIf" and "-Confirm"; 
    - Help

We will also see in action a set of functions that are designed to automate and save time on real cases of everyday life of a DBA.
Speaker:

Session Type:
Regular Session (70 minutes)

Track:
Other

Level: Intermedia

Session Code:

Date: October 03

Time: 9:00 AM - 10:10 AM

Room: Auditorium-2

Query Store is a new feature that will be released with SQL Server 2016 that will allow to store history of execution plans of each query with his performance counters. It will allow more easily to fix some performance problems about query plan changes. Join me in this session, to take a look and talk about this new great feature that will change the way we can fix and troubleshoot performance tuning problems
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (70 minutes)

Track:
SQL Server 2016

Level: Intermedia

Session Code:

Date: October 03

Time: 9:00 AM - 10:10 AM

Room: Auditorium-Magno

Spark on HDInsight
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (70 minutes)

Track:
Big Data

Level: Beginner

Session Code:

Date: October 03

Time: 3:50 PM - 5:00 PM

Room: Hands On IoT

Sessions Found: 29
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