VarSigma’s Post

My Data modeling 101 webinar is available online: 1. Define the scope 2. Identify entities 3. Determine attributes 4. Establish relationships 5. Create the model 6. Test the model And repeat... https://lnkd.in/e-v9z-Y3

The most common question in the Data Visualisation and EDA processes is: "Which chart should we use for a specific task?" Here is the simplest version as a Cheat Sheet, hope it will help! 😊

completed the workshop on data structures from scholarhat.

Great discussion on data warehousing, data modeling, and MDMs. Some of the points that stuck with me - The importance of the source system engineers and the business to understand how the data is used in the org through collaboration and communication and not through emails so it can downstream to analytics. - An MDM whether built in house or purchased will not provide any value without the right amount of data stewardship time and effort put into it and without the connection to transactional data. Oh and it was definitely too short Joe Reis 🤓

In case you missed it, here's the first group discussion with the Practical Data Modeling group. If this seems cool, join us for the next discussion. Sign up for the group in the video link below. Watch here: https://lnkd.in/gAZAcnhG

I have completed the "Data Wrangling and Data Visualization in re-short" course offered by EDUONIX.

Mastering Data Modeling: Unveiling the Power of Structured Information | A Comprehensive Guide #Data_Modeling

The one and only Roelant Vos stopped by at the Data Modeling Meetup Munich to give us an update on the latest data engine thinking. Here’s the recording! #dm3 #datamodeling #dataautomation #dataenginethinking

Mastering Fundamental Data Structures: A Researcher's Guide to Efficient Algorithms https://a.co/d/9m2rBL7