Nr: 482
SQLSaturday #482 - Nepal 2016
SessionID: 42610
Processing unstructured data
Event Date: 26-03-2016 - Session time: 09:15:00 - Track: Business Intelligence
Speaker: Dinesh Priyankara
Title: Processing unstructured data
Abstract:
SessionID: 45889
Event Date: 26-03-2016 - Session time: 09:15:00 - Track: Database Administration
Speaker: Dmitri Korotkevitch
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.
- Reducing internal index fragmentation in the system
- Implementing ROW and PAGE Data Compression
- Compressing LOB Data on the client and/or with CLR routines
- Detecting and removing unused and redundant indexes
- 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.
- Releasing free space from the data files
SessionID: 45731
Power BI: The shift to business-led self-service analytics
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
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
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:
SessionID: 45935
Take your IT to the next level
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
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:
This session discusses several of these use-cases:
- Improving performance of ETL processes and stored procedures with memory-optimized tables
- Using the in-memory OLTP engine as a replacement for the distributed cache and session state server
- Enhancing performance of batch import operations with memory-optimized TVPs
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.
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
Event Date: 26-03-2016 - Session time: 14:45:00 - Track: Business Intelligence
Speaker: Gogula Aryalingam
Title: Building a Power BI solution
Abstract:
SessionID: 48525
SQL Server On Windows Cluster
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
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.