332x 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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