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Meetings
 

PASS Nepal Chapter Monthly Event 24 February 2021

 

SQL Server 2017: Graph Database Inside -Out

Relational databases has been around since decades. It uses a highly structured schema to store information in tabular form and are optimized to find answers about the data. One of the challenges where relational databases struggle with is to find answers on data relationships.

Graph databases uses graph theory to store information in a collection of nodes and edges. Graph databases are optimized to find answers about the relationships. With graph data processing available in SQL Server 2017 we will get the best of both relational and graph databases in a single product.

In this session the audience will learn about what is graph databases, why graph databases, and how to use the new graph data processing extension of SQL Server 2017.

Presenter: Shree Khanal

Shree Khanal is a Database Architect, Speaker and Trainer having 12+ years of professional experience on database solution development and optimization. Mr. Khanal is a Data Platform MVP & Microsoft Certified Database Professional since 2000 to till date. Starting with SQL Server 7, he has been working with all the version of SQL Server up to 2016 in production environment. In context of OLAP cube development, he started working on it from SQL Server 2000 to latest SSAS 2016. He has worked number of years providing SQL BI solutions to various enterprise clients most of them from BI sector. He founded and has been leading the Himalayan SQL Server User Group (www.sqlpassnepal.org) based in Kathmandu, Nepal since 2010.

Location:
 Location:

Program Details:

Date:      24th February, 2018

Time:     3:00 P.M

Venue: Mercantile Communications Pvt. Ltd. (Durbar Marg, Kathmandu, Nepal)

Register:

Or mail to [email protected]

Event start: 2/24/2018 3:00:00 PM

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