Google Data Studio Part 2

I have been working with Google Data Studio for some of my visualisations. Now I say only some because I still have the issue with not being able to get it to connect to PostgreSQL and the Snowflake connector is a paid product. To address this I am looking at other products and am hopeful about Retool but will see what functionality is left once the free trail runs out. I am hoping that I am only using the free stuff.

Building my dashboard in Google Data studio has been pretty easy, there are some things I don't like or can't work out how to do but I am more of a technical data person than a visualisation person, at least for the last 5-6 years that has been the case.

Honestly the best thing to do it stick a data source in Google Data Studio and have a play. You basically pick a theme and drag and drop your dimensions and measures in and watch it build the graphs on the fly. Below are some graphics of the meu options, inserting a graph and manipulating it.

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AWS training cloud academy free course

One of the things I like about this course are the instructors are really clear but also that it provides free labs that allow you to actually sign into AWS and perform some actions to actually create and do things without worrying that you are going to incur a cost. Today I complete one of the hands on labs. This was to create a lambda function, in this case it was a very basic python script that was searching a website for a keyword. I then placed this into a schedule and used cloudwatch to create a dashboard that monitored the running of this function. Overall it was a very simple use case but it was also a very simple process to setup. I don't have much to add to this other than it is well worth signing up to cloud academy for the free training if nothing else, I am tempted, once i have done some more training, to give the paid for option a go to get the full sandboxes.

AI News

Here’s a concise roundup of the latest AI news from the past couple of days: AI Technology: Friend or Foe? Researchers and experts continue to debate the impact of artificial intelligence. Is it a boon or a threat? The discussion ranges from AI ethics to its potential in various fields. Read more here . 5 Ways Artificial Intelligence Will Change the World by 2050 Futurists predict that AI will revolutionize our lives in the coming decades. From healthcare to transportation, AI is set to transform industries. Explore the possibilities here . How AI Will Transform Businesses in 2023 Business leaders are embracing AI to enhance efficiency, decision-making, and customer experiences. Stay updated on the latest AI trends in the corporate world here . China’s High-Level AI Modules China is pushing the boundaries of AI with modular next-generation systems. These high-level AI technologies promise breakthroughs in fields like robotics, healthcare, and smart cities. Learn more here . The Future ...

Data Cleansing View in Snowflake

For part of one of my free ETLs I am using Zapps to transfer e-mails from Google Sheets and then Keboola to transfer the sheets into my Snowflake database. I am familiar with string searches and cleansing in Oracle and using python but have not had the chance to do this in Snowflake. I wanted to give it a go as a proof of concept if nothing else. There were some difference in functions between Oracle and Snowflake, no INSTR and using POSITION instead and some difference in working with dates / timestamps but overall it was very similar. The code below is what I ended up using: I think want to use this to create some overview graphics to allow me to track the success or failure of my ETLs. Assuming the aspects of Retool remain free you can see how much ETL is going on this link . In case things aren't working, here is a table of the output I am producing.

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