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data integration simply put combines data types and formats into a single location often known as a data warehouse the ultimate goal of data integration is to gain useful and valuable information to help solve problems and gain new insights while organizations spend a lot of time and money collecting data data is only as valuable as it is used the challenge is data silos data is often stored across departments in formats that need to be transformed and this data is often siloed this impacts business decision-makers as they don't have access to the whole picture now that you know what data integration is let's take a look at some ways on how it can address these challenges data integration tools such as FME allow decision-makers to access all of the data they need it also eliminates the manual effort of performing complex repetitive tasks and lastly it eliminates the need for writing and maintaining point-to-point scripts now let's learn a little bit more about data integration through the use of fruit thanks sim now I'm going to show you what you can do with data integration using these fruits we're going to be using FME which is the software produced at safe to connect and transform data as well as automate the workflows people who need the data can then access it while using the best fit for purpose applications where when and how it's needed so in FME we have things called transformers which manipulate our data and transform it we're gonna take this Apple and we're going to peel off unwanted things so this would be our transformer now that we've removed all the peels we are left with just the data that we want so we can take the data we filtered out and remove that now I notice that there's some bruises on the other side and we don't really want that so we can use another transformer to handle that and I'll use lists now that our data has been tiled down we can remove pieces that we don't want such as this booth and it's gone now we're going to do the same with the rest the fruits so our end goal is to create a smoothie so we're gonna put these all into a blender so we're gonna be running our transformation with seeker caching on so you're gonna see everything happening as it runs now that your data's been transformed and in our form is a smoothie you can share it what's the people you need to get it to or into the databases you need to get it into in this translation we've created the same smoothie for everybody but taking our source data in the same translation FME can create different smoothies for each person and this is our example of data integration using fruits to create a smoothie back to you thin I hope that was helpful for understanding what data integrationists be sure to reach out...