Month: January 2019
SQL Social: Australia’s Premier Data Networking Event!
When: 2019/02/06 From 5:45pm – 8:00pm
Where: The Governors Lounge, The Royal Melbourne Hotel, 629 Bourke Street Melbourne, VIC, Australia
Food & Drinks will be provided.
SQL Social brings together Database & BI professionals, industry experts and those with an appetite for learning more about data & information management, in a relaxed atmosphere to network, share ideas, impart knowledge, and have a great time whilst doing so.
We will provide you with plenty of food and drinks for the evening, all thanks to our fantastic sponsors (see below).
This is not your usual SQL Server User Group event. At SQL Social our aim is to give YOU the opportunity to meet with MVPs, well-known speakers, experienced professionals & industry experts and ask them about the data-related topics that matter to you. It is an opportunity to meet new people, make new friendships and find out what is going on in the data industry in Melbourne.
As we have mentioned at previous events, we want to encourage you to take your first steps as a new speaker. As an incentive, every speaker will receive a free 1 month PluralSight subscription as a thank you. We only need a short 10 minute or so session on any SQL Server related topic – from an interesting query technique to an overview of the functionality of a component. Contact us if you’d like to have a go.
This Month’s Speaker and Topic
Martin Catherall (Readify) – A look at Azure CosmosDB
Martin has over 15 years of experience working with data- driven applications built on SQL Server and the Microsoft Data Platform technology.
He has substantial experience as a developer, database administrator and consultant.
Martin founded the Christchurch SQL Server User Group and ran several SQL Saturdays in that city before relocating to Melbourne in early 2016.
He currently volunteers as a Regional Mentor for PASS and maintains strong involvement in the Australian and New Zealand Data Platform communities.
Azure Cosmos DB is Microsoft’s Globally Distributed, Multi-Model database service. Transparently scaling across multiple Azure regions, Cosmos DB provides for many API’s including MongoDB, Cassandra, Gremlin and SQL. It offers multiple consistency models and guarantees up-time or 5 9’s.
In this session we’ll take a look at this technology and learn how it might be useful – either now or in the future.
Once again we are fortunate to have wonderful sponsors on board who will ensure that we are suitably fed and watered. A big thank you to Lobsterpot Solutions and Pluralsight for their ongoing support of this great community event!
LobsterPot Solutions™ is an Australian company with staff in Adelaide and Melbourne, offering consultancy and training services around Australia. LobsterPot Solutions specialises in SQL Server, including performance tuning, Business Intelligence, and more.
LobsterPot Solutions is a company of firsts. When the Microsoft Partner Network went live, we were the first company in Australia to become a Gold Competency Partner, the first in the world to gain the Gold Competency in Business Intelligence. Since then we have become the first to have an APS / PDW trainer on staff, and have been involved in training other trainers in the region.
At Quest, our purpose is to solve complex problems with simple solutions. We accomplish this with a philosophy focused on great products, great service and an overall goal of being simple to do business with. Our vision is to deliver technology that eliminates the need to choose between efficiency and effectiveness, which means you and your organization can spend less time on IT administration and more time on business innovation.
Pluralsight is the global leader in high-quality online training for hardcore developers. The revolutionary Pluralsight training library provides developers with instant access to a rich collection of online training courses delivered by industry authorities. See what you can learn at pluralsight.com and join the @pluralsight community on Twitter.
See you there!
This entry was posted in SQL Server Social.