![]() ![]() Open source software can help fill in the gaps that your company will inevitably find in its data and analytics journey. Tableau is an amazing tool that can help solve a lot of your reporting needs, but expecting it to do everything, I think is unrealistic. A one-size-fits-all solution to reporting simply doesn’t exist and won’t do the trick in our complex business environment. The field of business intelligence is complex companies have varying data sources, business processes, and reporting needs. And this enables the large community of open source contributors to extend Tableau while allowing Tableau customers to best integrate the tools and technologies they choose to use. Rather than trying to develop similar tools, Tableau has opened up critical parts of its ecosystem to them. The tools themselves are impressive, and more importantly, they come with a large network of experts and enthusiasts that know how to leverage them. ![]() ![]() Tableau recognizes the importance of these open source tools in the data space. Licenses like Apache, MIT, and BSD 3-clause cover a large swath of these tools and place very little restriction on how they are used. Not only are these tools open source, but they are liberally licensed for commercial use. R and Python have also grown in usage at universities, where analytics courses teach the next batch of analysts and data users how to solve problems that even five years ago were unthinkable by most. Tensorflow and PyTorch help to greatly simplify the practice of training and deploying machine learning algorithms. Open source software dominates the machine learning (ML) and artificial intelligence (AI) landscape. However, improved hardware and machine learning algorithms are demonstrating that data users need tools that both show them things while also enhancing and supporting their learning. Visualization is, and I expect will always be, important to understand and help democratize data. There are currently strong offerings in both closed and open source software, and with Tableau, you get the best of both options as developers. Tableau recognizes that the way we use data today and the field of analytics is much different now than even a decade ago. Tableau is an innovator in the field of data visualization with its ease of use, stunning visualizations, vibrant community, and more contributing to success. Reference Materials Toggle sub-navigation.Teams and Organizations Toggle sub-navigation.Plans and Pricing Toggle sub-navigation. ![]()
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |