Tableau might be a bit more popular than Exact Audio Copy. We know about 8 links to it since March 2021 and only 6 links to Exact Audio Copy. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Mac or PC? X Lossless Decoder and Exact Audio Copy both have native metadata support. Source: about 1 year ago
Are you sure you want to do this. Put them on a Network Attached Storage NAS. It may sound daunting buts its easy if you have a computer and free software like EAC. It finds all the data like song titles and artwork. https://exactaudiocopy.de/. If only 50 CDs you can use a thumb drive. Source: over 1 year ago
Until now I've downloaded all my music from streaming services but I want to rip the few CDs that I have at home. I've searched online for a good way to rip them with as little quality loss as possible and I've found this dBpoweramp and Exact Audio Copy to be the gold standard but I can't quite decide on what's best or even if there's an even better option. I should also note that I'm quite technical and not... Source: over 1 year ago
If you're interested in helping out, I suggest using Exact Audio Copy and configuring it according to this guide here, though I totally understand if you don't want to do this. Source: almost 2 years ago
If that sounds like something you're OK with doing, I suggest using https://exactaudiocopy.de and configuring it accordingly to https://docs.google.com/document/d/1b1JJsuZj2TdiXs--XDvuKdhFUdKCdB_1qrmOMGkyveg/. Source: almost 2 years ago
Hey everyone, I'm interested in taking the Tableau Certified Data Analyst Exam Readiness course through tableau.com to prepare and get Tableau certified. I had some questions about the course, such as are the videos pre recorded or in person, do you have access to the material once the 90 days expire, and I was also wondering if anyone had input/advice for this course. Thanks! Source: 11 months ago
Could anyone recommend what media I should approach to publish my work (internet or print). I could try the Tableau forum in tableau.com but it's not very active + Tableau may be unappreciative as my work overlaps with their (pricey) data management solution. Plus it needs to be some high visibility / reputable media to count for my career development. Any recommendations welcome thanks!!! Source: over 1 year ago
Tableau public: tableau.com. Big player but your data will be made public and not really user-friendly data model. Source: over 2 years ago
For example, we have a project to compare Tableau, Power BI, and InetSoft. The need for strong pagination-based email delivery eliminated Tableau. AWS's Linux instance is the targeted platform which makes Power BI less than ideal. Source: over 2 years ago
I just started learning Tableau because our dept is transitioning into Tableau from Power BI. Since I already have years of experience with Power BI I just went over their tutorials from tableau.com and got onboarded pretty quick. I'm still learning it but I'm at least able to build out reports and get things done. Its not too difficult to pickup one BI tool when you have experience with another. Source: over 2 years ago
fre:ac - fre:ac is a audio converter and CD extractor designed for Microsoft Windows, Mac OS and Linux, distributed under the GNU General Public License.
Microsoft Power BI - BI visualization and reporting for desktop, web or mobile
dBpoweramp - dBpoweramp contains a multitude of audio tools in one: CD Ripper, Music Converter, ID Tag Editor...
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Asunder - Asunder is a graphical Audio CD ripper and encoder for Linux. You can use it to save tracks from an Audio CD as any of WAV, MP3, OGG, FLAC, Opus, WavPack, Musepack, AAC, and Monkey's Audio files. Asunder is translatable!
Sisense - The BI & Dashboard Software to handle multiple, large data sets.