![]() For example, by combining all of the pdf's from Jan-Dec 2017 (using Acrobat) I can now search within the entire year. In situations such as these I can copy all the pdf attachments to a seperate windows folder, concatenate them and then conduct a general search. There are many occasions when we need to find information on a client but are not sure what month (ie:which note) it would be in. These are stored in EN by month (every note represents the scanned pdf's for the month). For example, my business generates thousands of pdf files a year which represent bills, invoices etc on various clients. In terms of data mining my needs are not that great. By the way, I also routinely back up all my attachments from the "Add to Evernote" folders on my various computers. I have experimented with various methods of backing up EN above and beyond simply backing up the exb and other export formats and have not been entirely satisfied with any one of them. ![]() Any problem with EN would be simply catastrophic. I use scanners at both home and work and have literally scanned every possible piece of information into EN. At this point, my entire personal and business life is on Evernote. I think my main reason for looking at alternative ways to store EN information is for reasons of safety. If you need something more, or different, your due diligence task for the day is "find the best way to." If that means starting in Evernote based on its current features, then that's fine. Use a copy of your database to play though, you really really REALLY don't want to mess with the active file.īut structured data analysis requires that you have some general idea how you're going to process raw information, and collect it in such a way as to support your processing of it. Worst case, you can view information in the database in the database in Windows - it's a standard SQL format. There's also and for sorting and sharing data, not to mention the recent Slack integration for collaboration. There are other alternatives to extract data, including to PDF - (currently catching up with Evernote's latest versions) to other formats - like maps: or - a 'heat map' of various activity and tags. I guess it would be possible to design a template to capture information for specific purposes, but outputting 100 notes into PDF or any other format isn't going to be a productive way to analyse it. Not sure what kind of 'big data' analysis you're looking for here, but broadly Evernote isn't the tool you're looking for if your main wish is to collate data and then manipulate it outside the app. On the other hand, one can easily visualize that there may be other useful ways that one can export data from Evernote and then aggregate and search within Google Drive. I should mention that I rarely need to have this type of functionality but it's nice to know that there is an alternative if I ever need one. Therefore, I can migrate thousands of files from Evernote folders into Google Drive folders and then conduct specific searches for key terms directly in the Google drive folder (thus bypassing Evernote entirely). ![]() I combine this a google drive extension called "Search within folder" which allows you to search for key terms within an entire folder. HQ Cloud, on the other hand, can migrate your entire set of files into whatever folders you specify in Google Drive. This could be OK but it doesn't allow much data aggregation, manipulation, searching etc. ![]() For example, if you had a note in Evernote which included a text sentence eg: "here is a nice article", and then a pdf version of the article.Evernote html export would export it in a way in which if you clicked on the exported note it would open up an html browser which allow you to see the text and the pdf file. ![]() The nice thing about doing this is that the data comes out on Google Drive in an alternative format than exporting directly from Evernote. This involves using a service called HQ Cloud which (for a fee) allows you to migrate your data from the Evernote Cloud into another cloud eg: Google Drive. I have discovered an alternative method which may be helpful to some people. The data is usually enex, exb or html files which is not how the rest of us want to see our data. There are many threads here regarding the limitations of Evernote export data. ![]()
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