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Recently I decided to move from AWS to Azure for the hosting of my “Sandbox” sites. With the move, I plan to add serve up live interactive data content highlighting different “data” projects of personal and professional interest.
Much of what I’ve worked on is contained on “corporate” portals and intranets. The move to Azure from AWS for “server based” content will allow more flexibility and access to Power BI, SharePoint and Microsoft Teams.
I had a chance to take a look today at Tableau Public. I’ve used it in the past but to be honest Tableau is my third favorite visualization tool (behind Qlik and Power BI). I was impressed to see they used an example mimicking the famous TED talk by Hans Rosling. If you haven’t seen this and you’re interested in data and analytics – its a must watch! 🙂
This is a difficult time for many of us. My thoughts are first with all of the people suffering from the disease and it’s impact. Also with the heroic first responders, the men and women who are risking their own lives to save others. There are a number of interesting site I’ve been following to get more info. The site below does a great job of explaining the growth of the virus and how to tell if we are flatting the curve.
Yesterday I attended a free workshop put on by Snowflake. The session entitled “Zero to Snowflake in 90 Minutes” provided information on Snowflake’s Architecture, Performance and Scalability as well as a “hands-on” demo. Snowflake touts itself as “The Data Warehouse Built for the Cloud” and is gaining enterprise customers at a dizzying pace.
The “demo” used data from Citi Bike – New York City’s bike share system. Citi Bike is the nations largest bike sharing service. The data can be downloaded from: https://www.citibikenyc.com/system-data
The workshop provides an introduction to how to setup and use Snowflake. The outline is below and the lab takes 90~ minutes:
Lab Overview Module 1: Prepare Your Lab Environment Module 2: The Snowflake User Interface & Lab “Story” Module 3: Preparing to Load Data Module 4: Loading Data Module 5: Analytical Queries, Results Cache, Cloning Module 6: Working With Semi-Structured Data, Views, JOIN Module 7: Using Time Travel Module 8: Roles Based Access Controls and Account Admin Module 9: Data Sharing
I found the workshop very interesting and for two reasons. First, it covered all the basics of using a cloud based database. Users loaded data from a S3 bucket, parsing both csv and json files. Queried the database and managed schema’s and security. The second reason why enjoyed the session is because Qlik’s Elif Tutuk used this dataset for a Qlik Sense Demo app.
I found a copy of the old Qlik Demo app and set it up on a Qlik Sense instance.
I created a ODBC connection (using a DSN) and was able to update the data from Snowflake. The combination of Qlik Sense and Snowflake is compelling. I liked the Snowflake demo especially when I could match it up with the visualizations from Qlik Sense.