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hey welcome to sequel talk today were going to talk about a little bit of data engineering data science you know how they say with data science you spend a lot of time acquiring the data cleaning it parsing it kind of making it work and so that was my experience with a recent project I was helping someone with we had to grab some Twitter data and all we had was the tweet ID so we used Python utility called torque and then we hydrated those tweets pulled them into a file format thats called JSON lines its a little bit different than JSON itself so we had to do some manipulating of that and then we pulled it into power bi so let me show you how we did that might help others out there doing some analytics on their data thanks for watching okay so were gonna rehydrate or hydrate tweets based on tweet IDs were gonna pull that into power bi so we can do some reporting analytics on it so heres some websites that I used of course youll need your Twitter app Ill show you that screenshot