Day 1, Wednesday, technically started on Tuesday with a newbies speed networking event in which we had to rotate through a crowd of 10 other people – introducing ourselves and asking questions about our professional lives. This was awkward to begin with but, as the evening wore on, introducing ourselves to strangers became a lot easier and more normal. We then moved on to the Welcome Reception and then a #SQLKaraoke event. Great opportunities to meet new people from different areas of the world and parts of the community.
Wednesday morning proper, began with a keynote from Joseph Sirosh. This keynote from Joseph essentially set the tone and theme for a large part of the conference sessions – Azure, Big Data and the Cortana Intelligence Suite.
The first session I attended was on Design Patterns for Azure SQL Database (for which a separate blog will be forthcoming).
The next session I attended was about incorporating Azure Data Lake Analytics into a BI environment (again, another blog is in the pipeline).
My final session of the day was Going Under the Hood with Azure Data Lake. This was the most insightful session of the day, which has subsequently sparked my brain into Data Lake mode (expect many blogs on this), and went through how Azure Data Lake works as well as how the U-SQL language works and resources are allocated.
Tonight – more networking.
So far, the community has been so welcoming and I’m very much looking forward to tomorrow where I’ll be learning about Big Data solutions and best practices. I’m also looking forward to sharing all my experiences and learning’s with my colleagues and wider SQL Community.
How Artificial Intelligence and Data Add Value to Businesses
Knowledge is power. And the data that you collect in the course of your business
May
Databricks Vs Synapse Spark Pools – What, When and Where?
Databricks or Synapse seems to be the question on everyone’s lips, whether its people asking
1 Comment
May
Power BI to Power AI – Part 2
This post is the second part of a blog series on the AI features of
Apr
Geospatial Sample architecture overview
The first blog ‘Part 1 – Introduction to Geospatial data’ gave an overview into geospatial
Apr
Data Lakehouses for Dummies
When we are thinking about data platforms, there are many different services and architectures that
Apr
Enable Smart Facility Management with Azure Digital Twins
Before I started writing this blog, I went to Google and searched for the keywords
Apr
Migrating On-Prem SSIS workload to Azure
Goal of this blog There can be scenario where organization wants to migrate there existing
Mar
Send B2B data with Azure Logic Apps and Enterprise Integration Pack
After creating an integration account that has partners and agreements, we are ready to create
Mar