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SQLSaturday #451 - Istanbul 2015

Start Time (24h) Speaker Track Title
10:00:00 Kevin Boles Jupiter 2 SQL Server Partitioning from A to Z
10:00:00 Koray Kocabas Adara Social Media Analytics using Azure Technologies
10:00:00 Levent Oktar Jupiter 1 SQL Server 2016 High Availability and Disaster Recovery Solutions
11:15:00 Yigit Aktan Jupiter 1 Troubleshooting AlwaysOn Availability Groups in SQL Server 2012/2014/2016
11:15:00 Gokan Ozcifci Jupiter 2 Deep dive to SQL Server configuration for SharePoint Server
11:15:00 Abdullah ALTINTAŞ Adara Real-Time Click Stream Analysis with Microsoft Azure Stream Analytics
13:15:00 Ismail Adar Jupiter 2 Execution Plans Detail From Zero to Hero
13:15:00 Erdem Avni SELÇUK Jupiter 2 Querying SQL Server Data with Power BI Desktop
14:30:00 Ismail Adar Jupiter 2 SQL Server Query Design and Optimization Recommendations For Developers
14:30:00 Kevin Boles Jupiter 1 Indexing Deep Dive
14:30:00 Mihail Mateev Adara Think Connected – Modern IoT Solutions with Microsoft Azure
15:45:00 Koray Kocabas Adara New Generation Data Warehouse in Azure
15:45:00 Levent Oktar Jupiter 1 SQL 2016 : Obtaining High Performance with In-Memory Columnstore Indexes

SessionID: 40382

SQL Server Partitioning from A to Z

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Event Date: 12-12-2015 - Session time: 10:00:00 - Track: Jupiter 2

Speaker: Kevin Boles

Title: SQL Server Partitioning from A to Z

Abstract:

We will cover most of the bases in this broad and deep coverage of table/index partitioning in the relational engine. Numerous demonstrations will help gel knowledge you can take back to the office and begin to apply to your environments to reap the many benefits of this fine addition to the product that has been significantly enhanced since SQL 2005.

SessionID: 40679

Social Media Analytics using Azure Technologies

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Event Date: 12-12-2015 - Session time: 10:00:00 - Track: Adara

Speaker: Koray Kocabas

Title: Social Media Analytics using Azure Technologies

Abstract:

Social media are computer-mediated tools that allow people to create, share or exchange information, ideas, and pictures/videos in virtual communities and networks. To sum up Social Media is everything for your customers and Your company need to listen them to understand, make a custom offer or improve loyalty etc. Azure Stream Analytics and HDInsight platforms can solve this problem for you. We'll focus on how to get Twitter data using Stream Analytics and how to make data enrichment and storing using HDInsight and What is the problem about sentiment analytics using Azure Machine Learning.

SessionID: 41672

SQL Server 2016 High Availability and Disaster Recovery Solutions

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Event Date: 12-12-2015 - Session time: 10:00:00 - Track: Jupiter 1

Speaker: Levent Oktar

Title: SQL Server 2016 High Availability and Disaster Recovery Solutions

Abstract:

Today almost all the business applications/databases need High Availability and Disaster Recovery solutions for uninterrupted service continuity. In this session we'll have a look at High Availability and Disaster Recovery (HA/DR) Solutions of SQL Server and what is newly coming with SQL Server 2016.

SessionID: 38192

Troubleshooting AlwaysOn Availability Groups in SQL Server 2012/2014/2016

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Event Date: 12-12-2015 - Session time: 11:15:00 - Track: Jupiter 1

Speaker: Yigit Aktan

Title: Troubleshooting AlwaysOn Availability Groups in SQL Server 2012/2014/2016

Abstract:

In this demo-packed session, you will learn how/what to monitor to have confidence that AlwaysOn Availability Groups are working properly. We will also cover where to look for problems - Harden, REDO, DMVs, xEvent Logs, SQL error logs, cluster logs, etc.

SessionID: 40492

Deep dive to SQL Server configuration for SharePoint Server

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Event Date: 12-12-2015 - Session time: 11:15:00 - Track: Jupiter 2

Speaker: Gokan Ozcifci

Title: Deep dive to SQL Server configuration for SharePoint Server

Abstract:

If you're using SQL Server 2012 or SQL Server 2014 as the database server for SharePoint 2013, you must perform particular set of steps to install SQL Server and then configure it specifically to host your SharePoint 2013 farm. In this session, we’ll walk through the installation process for SQL Server. I'll explain the post-installation configuration changes that are foreseen to SharePoint 2013. We’ll also have a look on how to configure SQL as SharePoint backups – all via PowerShell - for sure! As last point bottlenecks for HA/DR environments will be explained in a few steps.

After this session you will serve admirably the database back end to your SharePoint 2013 farm.

SessionID: 41767

Real-Time Click Stream Analysis with Microsoft Azure Stream Analytics

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Event Date: 12-12-2015 - Session time: 11:15:00 - Track: Adara

Speaker: Abdullah ALTINTAŞ

Title: Real-Time Click Stream Analysis with Microsoft Azure Stream Analytics

Abstract:

With Microsoft Azure Stream Analytics and Event Hubs services, it will be more effective and usable to get IOT data and analyse this data. Content management has a important position in real world, such as websites and other interactive systems. So, with Stream Analytics service, analyse this click stream data is really getting easy. Additionally, it is possible to report this click stream data using PowerBI on Microsoft Azure.

In this session, we will be talking about;

SessionID: 38326

Execution Plans Detail From Zero to Hero

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Event Date: 12-12-2015 - Session time: 13:15:00 - Track: Jupiter 2

Speaker: Ismail Adar

Title: Execution Plans Detail From Zero to Hero

Abstract:

At the end of this session attendees are be able to read and understand the execution plans. This simple thing can enhance our productivity because it will help us to detect and potentially solve performance problems.

SessionID: 41038

Querying SQL Server Data with Power BI Desktop

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Event Date: 12-12-2015 - Session time: 13:15:00 - Track: Jupiter 2

Speaker: Erdem Avni SELÇUK

Title: Querying SQL Server Data with Power BI Desktop

Abstract:

In this session, make queries with SQL Server BI Power Desktop application on SharePoint and will give information about subtleties.

SessionID: 38329

SQL Server Query Design and Optimization Recommendations For Developers

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Event Date: 12-12-2015 - Session time: 14:30:00 - Track: Jupiter 2

Speaker: Ismail Adar

Title: SQL Server Query Design and Optimization Recommendations For Developers

Abstract:

Query Optimization is one of the most interesting and most challenging aspects of working with SQL Server. In this session, we will cover Query Design and Optimization for best performance. Firstly we will gather data for analysis, then we will identify bottlenecks, and finally we will optimize specific queries. All this will be done with small changes on our queries.

SessionID: 40383

Indexing Deep Dive

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Event Date: 12-12-2015 - Session time: 14:30:00 - Track: Jupiter 1

Speaker: Kevin Boles

Title: Indexing Deep Dive

Abstract:

SessionID: 41454

Think Connected – Modern IoT Solutions with Microsoft Azure

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Event Date: 12-12-2015 - Session time: 14:30:00 - Track: Adara

Speaker: Mihail Mateev

Title: Think Connected – Modern IoT Solutions with Microsoft Azure

Abstract:

This talk is about the main business cases and main architectural challenges, related to the actual and new IoT systems and particularly predictive services, based on Microsoft Azure.

SessionID: 40680

New Generation Data Warehouse in Azure

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Event Date: 12-12-2015 - Session time: 15:45:00 - Track: Adara

Speaker: Koray Kocabas

Title: New Generation Data Warehouse in Azure

Abstract:

A few weeks ago Microsoft's Azure SQL Data Warehouse launched in limited public preview. Data is growing exponentially and companies have problems like storing, scaling, or analyzing etc. We will talk about new generation data warehouse that is an elastic data warehouse-as-a-service in Azure Platforms and compare similar technologies.

SessionID: 41673

SQL 2016 : Obtaining High Performance with In-Memory Columnstore Indexes

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Event Date: 12-12-2015 - Session time: 15:45:00 - Track: Jupiter 1

Speaker: Levent Oktar

Title: SQL 2016 : Obtaining High Performance with In-Memory Columnstore Indexes

Abstract:

Columnstore indexes uses column-based data storage and query processing to achieve up to 10x query performance gains in your data warehouse over traditional row-oriented storage. It also makes you gain up to 10x data compression over the uncompressed data size. Beginning with SQL Server 2016 columnstore indexes enable operational analytics, the ability to run performant real-time analytics on a transactional workload. In this session we'll see how columnstore indexes work and how we can get most benefits from them in practice.