Jan 18, 2019

Learn How to Use Database Visualization Tools

Database visualization tools help users process large amounts of raw information and express it in ways that are clear and valuable for decision-makers. Businesses compile large amounts of information, often more than can be processed and used effectively. Using software to analyse data saves time and effort, while interactive data visualization tools provide a way to present information sets in ways that are easy to apply in business settings. As the person who uses these data visualization platforms on the job, you provide a service that more and more companies need in-house to increase profits and production.

Free Data Analysis Software

If you want to keep costs down when you're getting started with data visualization apps, there are several types of free visual analytics software to try. This free analytics software can be found by searching for 'free big data analytics tools' or open-source tools for mining information. Visual data analysis tools like KNIME and RapidMiner analyze huge amounts of raw information and process it into a dataset you can use in business. These programs are available in formats that work on your Windows PC or a Mac.

Online Data Analysis Tools

Interactive data visualization software and real-time visualizations tools provide a source of web based analysis that's especially useful for fast-paced companies. These online data analytics tools are especially useful if you want to get started in the field before you delve into the technicalities of SQL data visualization tools. Online data analysis software, such as DataPine dashboard visualization tools, and cloud data visualization tools, such as Oracle, let you produce detailed reports without knowing SQL programming. SQL is, however, worth learning when you're ready to advance your analytics career, even if you can produce solid results without it.

Data Analysis and Reporting Tools

When you use analytic tools to compile information for your business, it keeps your organization from getting bogged down by piles of data that isn't useful. Some examples of data analysis tools you may want to try include data mapping software, data analyzer software, and database visualization software. For comparison, Tableau is a data analysis tool that's known for handling huge amounts of data and its ease of integrating with other advanced data visualization products. Qlikview is similar to Tableau in that it's a data visualization program that's designed to tackle huge tasks. Qlikview can, however, have a wider learning curve because it's more customizable than Tableau. For smaller datasets, Datawrapper is an intuitive beginner data visualization program that works with Excel and OpenOffice CSV files.

What are database analytics tools? They're part of a database analysis software package. When you learn how to use these powerful statistics-based applications, you can sift through large amounts of data and then open graphic visualization software to create charts and graphs that add emphasis to your work. When you learn how to use these tools for data analysis and report writing through courses in the Udacity Catalog, you set the stage for a lucrative and satisfying career as a data analyst. Visit Udacity today to learn about predictive analytics for business and how it can enhance your career prospects.