Introduction:
Tableau Software, a global leader in data visualization and analytics, today announced new capabilities for analytics that will help organizations better understand and act on their data. The new capabilities include the ability to combine data from multiple sources, support for more data types, and enhanced performance. With these new capabilities, Tableau is making it easier for organizations to get the most out of their data and make better decisions.
The new capabilities include:
Tableau Desktop:
Tableau Desktop is a powerful data visualization tool that allows users to easily create stunning visualizations and reports. Tableau Desktop is easy to use and provides a great way to interact with data. Tableau Desktop is a great tool for data analysis and reporting.
Tableau Prep:
Tableau Prep is a data preparation tool from Tableau that helps users clean, shape, and transform their data. With Tableau Prep, users can connect to multiple data sources, join them together, and then clean and shape their data all in one place. Tableau Training also includes a variety of built-in transformations that make it easy to prepare data for analysis.
Tableau Server:
Tableau Server is a business intelligence platform that helps organizations see and understand data. With Tableau Server, organizations can share data views and workbooks with colleagues, partners, and customers. Tableau Server provides a web-based interface for users to interact with data and create visualizations. Tableau Server is scalable and can be deployed on-premises or in the cloud.
Tableau Online:
- Tableau Online is a cloud-based data visualization and analytics platform that enables users to easily connect to data sources, create visualizations and share them with others.
- Tableau Online provides users with the ability to collaborate on projects in real time, making it an ideal platform for team-based work.
- Tableau Online offers a variety of features that make it a powerful tool for data analysis, including the ability to create custom dashboards and perform ad-hoc analysis.
Tableau Public:
Tableau Public is a free online visualization tool that allows users to create and share data visualizations. Tableau is a powerful tool that can be used to analyze and understand data, and it is also easy to use. Tableau Public is a great resource for anyone who wants to learn more about data visualization or who wants to share their own data visualizations with the world.
Improved performance with larger data sets
As the data sets that Tableau Desktop users are working with continue to grow, so does the need for faster performance. With larger data sets, it is even more important to have a performant tool like Tableau.
Tableau 10.5 delivers better performance when working with large data sets. This is due to several factors, including improved vectorization, multi-threading, and query optimization. Plus, with the new Hyper API, users can now take advantage of Hyperloglog C++ algorithms for even faster performance.
More options for data preparation
As Tableau continues to grow in popularity, so do the options for data preparation. While many users are still relying on traditional methods like Excel or Access, there are now a number of specialized data preparation tools available.
One of the most popular options is Alteryx, which offers a drag-and-drop interface for preparing and blending data from multiple sources. Another option is Trifacta, which uses machine learning to automatically suggest ways to clean and transform data.
These tools can save users a lot of time and effort in preparing data for analysis, and they're likely to become even more popular as Tableau grows in popularity.
Enhanced support for R and Python
Tableau has long been a leader in data visualization, but with the addition of enhanced support for R and Python, the software is becoming an even more powerful tool for data analysis. With the ability to seamlessly integrate with these popular programming languages, Tableau is making it easier than ever for users to get the most out of their data.
R and Python are two of the most popular programming languages for data analysis, and Tableau’s support for both is only getting stronger. With the ability to natively connect to R and Python libraries, Tableau users can now take advantage of the vast array of statistical and machine learning functions that these languages have to offer.
Enhanced support for R and Python is just one more way that Tableau is making it easier for users to get the most out of their data.
New options for deployment and pricing
As Tableau continues to grow in popularity, organizations are looking for more flexible deployment options. Tableau Online and Tableau Server are two popular options, but each have their own benefits and drawbacks.
Tableau Online is a cloud-based solution that is perfect for small organizations or those just getting started with data visualization. It is a subscription-based service that includes all updates and support. However, it does have some limitations in terms of scalability and customization.
Tableau Server is a more robust solution that can be deployed on-premise or in the cloud. It offers greater flexibility in terms of scalability and customization, but requires a larger upfront investment. For organizations with complex data needs, Tableau Server may be the better option.
Both Tableau Online and Tableau Server offer different pricing options based on the number of users and features required.
Conclusion:
In conclusion, the new capabilities provide users with more options for analyzing data and deploying Tableau software. This gives them the ability to make better decisions and improve their productivity. As a result, Tableau is able to offer a more comprehensive solution to its customers.
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