Enterprise Dashboard

Enterprise Data Platform

Government-grade platform for massive data ingestion, multi-database joins, API integration, scheduling, and machine learning – all in the browser.

Multi-Database Support

Azure, AWS, GCP, Snowflake, Databricks, and more

API Ingestion

Massive API ingestion with scheduling

Advanced ML

Complete machine learning pipeline

Scheduling

Automated data pipelines and ingestion

Upload Data

File Upload
Data Preview
Transformations
Import History

Drag & Drop Files Here

Supports CSV, Excel, JSON, Parquet, and more

Uploaded Files

sample_data.csv

1.2 MB • Uploaded 5 minutes ago

Data Preview

ID Date Category Value 1 Value 2 Target
1 2023-01-01 A 0.4967 12.345 0
2 2023-01-02 B -0.1383 9.876 1
3 2023-01-03 C 0.6477 14.567 0
4 2023-01-04 A 1.5230 8.912 1
5 2023-01-05 D -0.2342 11.234 0
Showing 5 of 1,000 rows

Data Transformations

Database Connections

Cloud Databases
Big Data Platforms
SQL Databases
NoSQL Databases
Data Warehouses

Azure SQL Database

Managed SQL Database on Azure

AWS RDS

Amazon Relational Database Service

Google Cloud SQL

Fully-managed MySQL & PostgreSQL

Snowflake

Cloud Data Warehouse

Databricks

Unified Data Analytics

Azure Synapse

Analytics Service

PostgreSQL

Advanced Open Source Database

MySQL

Popular Open Source Database

SQL Server

Microsoft SQL Server

MongoDB

Document Database

Redis

In-memory Data Store

Elasticsearch

Search & Analytics Engine

Amazon Redshift

Cloud Data Warehouse

Google BigQuery

Serverless Data Warehouse

ClickHouse

Column-oriented DBMS

Microsoft Dataverse

Connection
Tables & Entities
Queries
Sync Settings

Dataverse Connection

Dataverse Tables

Accounts

Customer and prospect accounts

Contacts

People associated with accounts

Opportunities

Potential sales opportunities

Cases

Customer support cases

Data Joins

Join Builder
Join History
Templates

Data Join Builder

Left Table

Join Type

Right Table

Join Preview

Customer ID Customer Name Order ID Order Date Amount
C001 John Smith O1001 2023-10-01 $1,250.00
C002 Jane Doe O1002 2023-10-02 $890.50
C003 Bob Johnson O1003 2023-10-03 $2,150.75

Massive API Ingestion

API Endpoints
Configuration
Monitoring
History
GET https://api.example.com/data

API Ingestion Configuration

Scheduler

Scheduled Jobs
Triggers
Scheduler Logs
Alerts

Daily Data Sync

Active

Sync data from API to PostgreSQL daily at 2:00 AM

Daily at 02:00

Weekly Report

Paused

Generate weekly analytics report every Monday

Weekly on Monday

Schedule Triggers

Use cron syntax or select presets below

Python Notebook

Notebook
Output
Code Snippets

Python Notebook Editor

Cell 1: Import Libraries
Cell 2: Load Data
Cell 3: Data Analysis

Notebook Output

✅ Libraries imported successfully Data loaded: name age salary department 0 Alice 25 50000 Sales 1 Bob 30 60000 IT 2 Charlie 35 70000 HR 3 David 40 80000 Finance 4 Eva 45 90000 Marketing Basic Statistics: age salary count 5.000000 5.000000 mean 35.000000 70000.000000 std 7.905694 15811.388301 min 25.000000 50000.000000 25% 30.000000 60000.000000 50% 35.000000 70000.000000 75% 40.000000 80000.000000 max 45.000000 90000.000000 Department Statistics: age salary mean mean sum count department Finance 40.0 80000.00000 80000 1 HR 35.0 70000.00000 70000 1 IT 30.0 60000.00000 60000 1 Marketing 45.0 90000.00000 90000 1 Sales 25.0 50000.00000 50000 1

Advanced Machine Learning

ML Models
Feature Engineering
Training
Hyperparameter Tuning
Evaluation
AutoML
Deployment
ML Monitoring

Feature Engineering

Hyperparameter Tuning

Hyperparameter Grid

Random Forest

Automated Machine Learning (AutoML)

Model Deployment

Model Monitoring

95.2%
Current Accuracy
0.8%
Data Drift
45ms
Avg Latency
12.5K
Requests Today

Data Pipelines

Pipeline Builder
Templates
Monitoring
History

Data Pipeline Builder

Source

PostgreSQL

Transform

Clean & Process

ML Model

Predictions

Destination

Dashboard

Pipeline Components

File Input
Filter
Aggregate
Python Script
Database Output

Pipeline Configuration

Visualization

Chart Builder
Dashboard
Gallery
Settings

Chart Builder

Sales by Category

Chart preview will appear here

Sample Data

Category Sales Profit Region
Electronics $125,000 $25,000 North
Clothing $89,500 $17,900 South
Home Goods $67,300 $13,460 East
Books $45,200 $9,040 West

System Monitoring

System Health
API Performance
Database Metrics
Alerts
45%
CPU Usage
62%
Memory Usage
78%
Disk Usage
24
Active Sessions

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Analytics

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