How to Guides
- Retrieving data through webhooks
- How to find business days excluding holidays between two dates?
- Introducing Projects
- How to combine two tables by time series without coding?
- How to use Concatenate Values to solve common data problems?
- How to connect Power BI with PostgreSQL?
- How to convert a shipping column to a row item?
- Export to elastic search and analyze in Kibana
- Troubleshooting Joins
📄️ Retrieving data through webhooks
Webhooks are an easy way to push data into Mammoth. A lot of popular
📄️ How to find business days excluding holidays between two dates?
Recently, while working with one of our clients we came across an interesting data problem. Take a look at the download following dataset
📄️ Introducing Projects
With Projects, you can now securely collaborate with your team. Easily invite other users from the workspace to your project, manage their roles & permissions, and more.
📄️ How to combine two tables by time series without coding?
Here’s a scenario that happens to be typical in the manufacturing world - Dataset A (download ERP data) contains a date range, and Dataset B (download Sensor data) contains rows that fall within the date range of Dataset A.
📄️ How to use Concatenate Values to solve common data problems?
In Data Analytics, you are often working to find insights like - the top 10 revenue-generators, top performers in an organization, most popular electives in a college department, varieties available for a product, and so on.
📄️ How to connect Power BI with PostgreSQL?
Microsoft’s Power BI is a popular data analysis and visualization tool.
📄️ How to convert a shipping column to a row item?
We often come across sales data that record shipping as a separate column. See this download dataset for example:
📄️ Export to elastic search and analyze in Kibana
Mammoth allows you to prepare your data for getting insights. To enable you to get insights mammoth also allows you to export your data to Elasticsearch where you can visualize it using Kibana.
📄️ Troubleshooting Joins
When working with disparate Datasets, rarely does it happen that you find all the information you need at one place and also neatly structured.