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SQLSaturday #482 - Nepal 2016

Start Time (24h) Speaker Track Title
09:15:00 Dinesh Priyankara Business Intelligence Processing unstructured data
09:15:00 Dmitri Korotkevitch Database Administration 5 Ways to Reduce Database Size and Improve Performance
10:30:00 Gogula Aryalingam Business Intelligence Power BI: The shift to business-led self-service analytics
10:30:00 Nagaraj Venkatesan Database Administration Cardinality Estimator - Before 2014 and After
11:30:00 Dmitri Korotkevitch Strategy and Architecture Data Partitioning for Database Architects and Mere Mortals
13:00:00 Gurvesh Singh Pre-Conference Take your IT to the next level
13:45:00 Dmitri Korotkevitch Application Database Development Thinking Outside the In-Memory Box
13:45:00 Anil Maharjan Business Intelligence Using power query to tell your story form your Facebook data.
14:45:00 Gogula Aryalingam Business Intelligence Building a Power BI solution
14:45:00 Satya Prakash Database Administration SQL Server On Windows Cluster
16:15:00 Shree Khanal Database Administration Advanced SQL Server HA and DR Architectures

SessionID: 42610

Processing unstructured data

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Event Date: 26-03-2016 - Session time: 09:15:00 - Track: Business Intelligence

Speaker: Dinesh Priyankara

Title: Processing unstructured data

Abstract:

SessionID: 45889

5 Ways to Reduce Database Size and Improve Performance

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Event Date: 26-03-2016 - Session time: 09:15:00 - Track: Database Administration

Speaker: Dmitri Korotkevitch

Title: 5 Ways to Reduce Database Size and Improve Performance

Abstract:

Hosting and administration of large databases presents many challenges. These databases require powerful hardware to operate, and thoroughly designed maintenance, HA and DR strategies to meet SLAs.

Even though data retention policies are controlled by business requirements, this session will review the following techniques and best practices that can be applied to reduce the size of the data in a database and improve performance of the system.

  1. Reducing internal index fragmentation in the system
  2. Implementing ROW and PAGE Data Compression
  3. Compressing LOB Data on the client and/or with CLR routines
  4. Detecting and removing unused and redundant indexes
  5. Following best practices in Database Design and Deployment, such as enabling Instant File Initialization, disabling Auto-Shrink and choosing correct data types based on business requirements.
  6. Releasing free space from the data files

SessionID: 45731

Power BI: The shift to business-led self-service analytics

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Event Date: 26-03-2016 - Session time: 10:30:00 - Track: Business Intelligence

Speaker: Gogula Aryalingam

Title: Power BI: The shift to business-led self-service analytics

Abstract:

The recent past has shown us how the business intelligence landscape is shifting away from an IT-led paradigm to a business-led paradigm. This paradigm attempts to put the power of data in the hands of users for self-service. Power BI is Microsoft's self-service business intelligence offering, and is now standing out as a leader in self-service business intelligence. Join this session to learn what Power BI is all about and its capabilities. We'll then move over to various usage scenarios and how Power BI helps save the day.

SessionID: 46369

Cardinality Estimator - Before 2014 and After

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Event Date: 26-03-2016 - Session time: 10:30:00 - Track: Database Administration

Speaker: Nagaraj Venkatesan

Title: Cardinality Estimator - Before 2014 and After

Abstract:

Cardinality estimator providing row estimates, plays a pivotal role in obtaining efficient query plans. Cardinality Estimator algorithm which remained unchanged since SQL 7.0, was revamped in SQL Server 2014. The presentation will take a ride through the new cardinality estimator, showcase the need for the significant redesign and demonstrate the new cardinality estimator's efficiency at different scenarios. Presentation will also cover how one can perform regressive testing, checking for any performance degradation on new cardinality estimator and how they can be handled gracefully.

SessionID: 45888

Data Partitioning for Database Architects and Mere Mortals

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Event Date: 26-03-2016 - Session time: 11:30:00 - Track: Strategy and Architecture

Speaker: Dmitri Korotkevitch

Title: Data Partitioning for Database Architects and Mere Mortals

Abstract:

Data partitioning is a valuable technique that simplifies database administration tasks and helps meet availability and performance SLAs. In this session, Dmitri will cover several techniques and architectural approaches you can use to partition data in the different versions and editions of SQL Server. You will learn about partitioned tables, partitioned views and stretch databases introduced in SQL Server 2016. Finally, Dmitri will discuss the practical questions, such as how to move data between filegroups and disk arrays keeping tables online and how to address some of performance issues caused by data partitioning.

SessionID: 45935

Take your IT to the next level

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Event Date: 26-03-2016 - Session time: 13:00:00 - Track: Pre-Conference

Speaker: Gurvesh Singh

Title: Take your IT to the next level

Abstract:

Cloud and Cloud Computing

SessionID: 45890

Thinking Outside the In-Memory Box

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Event Date: 26-03-2016 - Session time: 13:45:00 - Track: Application Database Development

Speaker: Dmitri Korotkevitch

Title: Thinking Outside the In-Memory Box

Abstract:

Even though in-memory OLTP can significantly improve performance of OLTP systems, it comes with an extensive set of limitations that often make refactoring of existing systems cost-ineffective and prevents widespread adoption of the technology. However, in-memory OLTP can be beneficial in other common use cases besides replacing on-disk with memory-optimized tables.

This session discusses several of these use-cases:

Finally, this session shows several techniques that help address in-memory OLTP limitations, such as 8,060 byte maximum row size and missing unique and FK constraints

SessionID: 45926

Using power query to tell your story form your Facebook data.

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Event Date: 26-03-2016 - Session time: 13:45:00 - Track: Business Intelligence

Speaker: Anil Maharjan

Title: Using power query to tell your story form your Facebook data.

Abstract:

The session is mainly for the one who is trying to extract the story behind their Facebook data by using Power Query. By using Power Query you can extract your Facebook data easily and do analysis your own story by using your own Facebook data.

Talking about Power Query: Microsoft Power Query for Excel is an Excel add-in that enhances the self- service Business Intelligence experience in Excel by simplifying data discovery, access and collaboration. Power Query can connect data across a wide variety of sources, where Facebook is one of the data source. This session helps you to learn about the Power Query, Power View, and Power BI and mainly helps you to do self-service BI by using your own Facebook data with the help of Power Query, Power View and MS-Excel 2013.

SessionID: 44431

Building a Power BI solution

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Event Date: 26-03-2016 - Session time: 14:45:00 - Track: Business Intelligence

Speaker: Gogula Aryalingam

Title: Building a Power BI solution

Abstract:

With Power BI one can perform business intelligence without having to invest in the big bucks that is usually involved with it. With Power BI one does not have to be a "techie" to BI. This session would first focus on theory on the various use cases of Power BI. It would then move over to demos and hands-on of how to build a Power BI solution: query and build a data model from a variety of data sources; report and collaborate on the data; and more...

SessionID: 48525

SQL Server On Windows Cluster

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Event Date: 26-03-2016 - Session time: 14:45:00 - Track: Database Administration

Speaker: Satya Prakash

Title: SQL Server On Windows Cluster

Abstract:

Generally SQL DBAs found very good in managing SQL server standalone instances but for managing SQL server on cluster requires altogether new skills. The difference stats right from installation planning and then implementing and finally troubleshooting. This session will be focused on following topics:

What is Windows cluster and how it work. How SQL server works on Windows clusters. How to install, configure, perform maintenance and troubleshoot SQL server on Windows Cluster.

SessionID: 46597

Advanced SQL Server HA and DR Architectures

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Event Date: 26-03-2016 - Session time: 16:15:00 - Track: Database Administration

Speaker: Shree Khanal

Title: Advanced SQL Server HA and DR Architectures

Abstract:

advanced HA and DR architectures for SQL Server that also enable you to scale-out certain workloads. This will include design patterns and configuration best practices for Availability Groups (AG) and Failover Cluster Instances (FCI) across different sites as well AG replicas between FCIs.