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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So I was looking at trying to get a cloud based database that was always on. I wanted to build some visuals over whatever data I ended up building and have the DB accessible from a cloud server seemed like the easy way. I wanted to keep it free because I hate spending when I don't need to, so that others could use it for free and because I was sure there must be options out there. In the end my life was made much easier by spending £10 but you can go with the same free option on this site. https://www.freemysqlhosting.net/ Although not super fast or super sized it gives you a free and easily accessible database. So far I have easily connected using phpAdmin, BeeKeeper Studio, Python, Google Data Studio and Keboola. I have had no issues at all unlike several other solutions I have tried including Heroku. To setup the DB you just set your location and hit start, you will then be e-mailed the connection details and then use your favourite MySQL IDE and you are in. Above is a snapsh

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Whilst a lot of the information I am post on here is about how to actually build a free cloud data platform for yourself there is also some good training out there. Whilst you will need to pay to get access a lot of places want to entice you in with certain bits for free. In the data engineering space a popular option for training is places with hands on labs. With the rise of these cloud platforms training providers are able to spin up mini instances with lots of restrictions and allow you to do hands on training without fear of using something outside of the free tier. As I said most of this training is not free, I did a trial month at Whizlabs and got myself a certification on Snowflake and AWS with hands on experience using their sandbox areas. Honestly despite finishing that course I don't feel like I learnt a huge amount, the labs were too regimented and the trainers were not overly engaging. If money were no object I would give A Cloud Guru a go but I am looking for free ma

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