SQLSaturday 850

Budapest, Hungary

PASS SQLSaturday is a free training event for professionals who use the Microsoft data platform. These community events offer content across data management, cloud and hybrid architecture, analytics, business intelligence, AI, and more. This event will be held on Apr 20 2019 at Gábor Dénes Főiskola, Mérnök utca 39, Budapest, 1119, Hungary

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SQLSaturday is a training event for SQL Server professionals and those wanting to learn about SQL Server. Admittance to this event is free, all costs are covered by donations and sponsorship. Please register soon as seating is limited, and let friends and colleagues know about the event.


Our Gold sponsor Session Title and schedule

How to accurately size your cloud database environment. 

Schedule: 11:45-1300

Session Abstract

One of the challenges of cloud deployments is choosing the correct sizing for your cloud database environment. Organisations commonly make the mistake of mimicking the on-premise server specs in the cloud, diluting the considerable cost-saving advantages that could be gained. But when it comes to sizing an environment users can struggle to know what resources are required to ensure there is no impact on performance when migrating to the cloud.
In this session we will discuss benchmarking database performance and using benchmarking to accurately compare the different DBaaS and IaaS offerings across cloud providers, using your own production workload.


Denis is a Database Management Consultant with Quest, a world leader in information management solutions. Denis has acquired a wide-range of experience and knowledge working as a data analyst, developer and database administrator.

Meet with Denis in the large auditorium during lunch time and the booth during breaks between regular sessions!

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What is a PASS SQLSaturday?

PASS SQLSaturdays are local events organized by PASS community members around the world. PASS is a not-for-profit association for data professionals who leverage the Microsoft Data Platform, offering interactive learning built by community and guided by trusted data experts.

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