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What is Jumbl?

Jumbl is an innovative job referral platform designed to simplify the job application process by connecting job seekers to over 178 reputable companies across various industries. The platform eliminates the need for cold messaging or awkward conversations by offering real referrals, making it easier for candidates to get noticed by employers. Jumbl’s AI-powered profile screening ensures that job seekers are matched with high-quality referrals that significantly improve their chances of securing interviews. Users can easily track their referral status, explore potential employers, and stay updated on their application progress—all from a convenient mobile app or web browser. With over 12,000 job seekers already on the platform, Jumbl has proven to be a game-changer in the job search process, helping users increase their interview chances by up to five times. Jumbl’s app is available for both iOS and Android, making it accessible for job seekers on the go. Whether you're looking for a career change or aiming to break into a top company, Jumbl provides a smarter and more efficient way to land your dream job. Thousands of job seekers have already trusted Jumbl to streamline their job search process, with hundreds of successful referrals and growing numbers of users finding their perfect fit.

What is Dimodelo?

Focus on crafting meaningful and influential reports and analytics instead of getting overwhelmed by the intricacies of data warehouse coding. It's essential to prevent your data warehouse from devolving into a disorganized collection of numerous challenging pipelines, notebooks, stored procedures, tables, and views. Dimodelo DW Studio significantly reduces the effort required for the design, construction, deployment, and management of a data warehouse. It supports the creation and implementation of a data warehouse tailored for Azure Synapse Analytics. By establishing a best practice architecture that integrates Azure Data Lake, Polybase, and Azure Synapse Analytics, Dimodelo Data Warehouse Studio guarantees the provision of a high-performing and modern cloud data warehouse. Additionally, the use of parallel bulk loads and in-memory tables further enhances the efficiency of Dimodelo Data Warehouse Studio, allowing teams to prioritize extracting valuable insights over handling maintenance tasks. This shift not only streamlines operations but also empowers organizations to make data-driven decisions with greater agility.

Media

Media

Integrations Supported

Azure Data Lake
Azure DevOps
Azure SQL Database
Azure Synapse Analytics
Framer
Microsoft Azure
Microsoft Power BI
SQL Server

Integrations Supported

Azure Data Lake
Azure DevOps
Azure SQL Database
Azure Synapse Analytics
Framer
Microsoft Azure
Microsoft Power BI
SQL Server

API Availability

Has API

API Availability

Has API

Pricing Information

₹500/Job Referral
Free Version
Free Trial Offered?

Pricing Information

$899 per month
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Kounselo Education

Date Founded

2024

Company Location

India

Company Website

jumbl.in

Company Facts

Organization Name

Dimodelo

Company Location

Australia

Company Website

www.dimodelo.com

Categories and Features

Categories and Features

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

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