PivotBillions Overview
Intuitive Spreadsheet-like Interface
An intuitive spreadsheet-like interface makes it easy to get up and running immediately, with no coding, no SQL, and no steep learning curve. Fast sorting, filtering and pivoting of data from millions to billions of rows can be done in mere seconds. Transform, calculate, and analyze derived data on the fly in real-time.
Drag and Drop Functionality
Pivot tables make analysis easy with drag and drop functionality. Add data dimensions to rows and columns, set value dimensions and execute to view the resulting aggregations.
Insightful Visualizations
Although tables are very informative, they can be limited in communicating the valuable insights in the data. Pivot Billions includes a variety of visualization options to get better insights from your data, including bar charts, heat maps, scatter charts, etc.
Step 1: Upload Data
Pivot Billions Explorer lets you upload the data you want to analyze into an AWS S3 repository. Amazon S3 is used to provide scalability, redundancy, security and reliability.
Step 2: Categorize Data
Organize you data into user-defined categories. Categories lets Pivot Billions know which columns from which data sets should be added for analysis.
Step 3: Filter, Sort and Pivot
Data in your defined categories become Pivot Billion tables. You can then select a data table and interact with it similar to a spreadsheet. Quickly sort and filter data columns. Add functions to create new data columns from existing columns. Generate pivot table by selecting the dimensions from the data tables.
