Azure Cognitive Services – The Rise of the Machines
Meetings

Azure Cognitive Services – The Rise of the Machines

With advances in computing power, advanced machine learning algorithms and globally consumable data sources the real world use cases for Cognitive Services within our everyday lives has begun to grow significantly. This fun and demo heavy session first introduces the full suite of Azure Cognitive Services API’s and discusses the approach to solution design, API […]

March 2016 QLD SQL Server User Group
Meetings

Mar 2016 – Martin Catherall – March 2016 QLD SQL Server User Group

March 2016 QLD SQL Server User Group – Martin Catherall A Lap around Columnstore Columnstore indexing was first introduced in SQL Server 2012, however it was not widely adopted. SQL Server 2014 added additional functionality to columnstore which resulted in a marginally higher uptake. The initial versions required some creative thinking to get all of […]

Maintain SQL Server Performance Baseline
Meetings

Feb 2016 – Allen White – February 2016 QLD SQL Server User Group

February 2016 QLD SQL Server User Group – Allen White Maintain SQL Server Performance Baseline w/PowerShell Maintaining a solid set of information about our servers and their performance is critical when issues arise, and often help us see a problem before it occurs. Building a baseline of performance metrics allows us to know when something […]

Meetings

Dec 2015 – Amit Arora – December 2015 QLD SQL Server User Group

December 2015 QLD SQL Server User Group – Amit Arora Introducing Temporal Databases in SQL Server 2016 More and more organizations are storing archives of data to help them make important business decisions. Traditionally, organizations had to rely on expensive, and tedious methods to go back in time and make sense of growth, negative growth, […]

Meetings, SQL Server

Apr 2015 – Konstantin Khomyakov – April QLD SQL Server User Group

April QLD SQL Server User Group – Konstantin Khomyakov Data Quality Services Deep Dive Data Quality Services (DQS) is one of the main mechanisms for data normalization, removing duplicate content and filling knowledge base. It allows you to perform various operations to obtain quality data. The main feature is the creation of the knowledge base, […]