171x Filetype PPTX File size 2.29 MB Source: tejasvi.gov.in
Tejas features Simple drag & drop interface for designing dashboards Integration with external data sources Flat files, DB, API API-based integration of dashboards, pages and visuals with existing applications Fine-grained, privileged access to pages and data within pages Self-service analytics capabilities Modification of dashboards/pages without shutting down the system Tejas features Integration with Bharat Maps (State & district level maps) Integration with GIMS In-memory database to enhance performance Designed on open source technologies No-code, Low-code platform Microservice-based, scale-out architecture Available in SaaS model on NIC cloud as well as in on-prem mode Connect to Data Create Project Connect to Data Prepare Datasets Create Project source (DB, API) Prepare Datasets source (DB, API) Create interactions Process Create pages by Create interactions Process Create Visuals Create pages by among visuals & Create Visuals embedding visuals among visuals & embedding visuals Pages Flow Pages Flow Create users & Assign privileges Create users & Assign privileges Publish dashboard user groups to users Publish dashboard user groups to users Database Connection Tejas offers three different ways in which datasets can be created from database For people who can write SQL queries Advanced Query Wizard For people who can’t write their own queries Query Tool Wizard – for retrieving data from a single table Data Joining Wizard – for retrieving data from multiple tables using different types of joins Calculated Calculated Columns Measures Formula to create a new column Formula to create a new measure at runtime Extends the dataset with a new column Does not create a new column Value calculated for each row in the The expression is evaluated at run dataset and stored in the data model time based on the context (values of before it is rendered in the visual the dimensions chosen at runtime) Calculated column data can be seen E.g. creating ratios, percentages etc. as a column in the dataset
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