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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.

What is Appsilon?

Appsilon is a leader in advanced data analytics, machine learning, and managed service solutions designed specifically for Fortune 500 companies, NGOs, and non-profit entities. Our expertise lies in the development of highly sophisticated R Shiny applications, which allows us to rapidly build and enhance enterprise-level Shiny dashboards. We utilize custom machine learning frameworks that enable us to create prototypes in diverse fields like Computer Vision, natural language processing, and fraud detection in a timeframe as short as one week. Committed to making a significant impact, we actively participate in our AI For Good Initiative, which focuses on lending our skills to projects that aim to save lives and safeguard wildlife globally. Our recent initiatives include using computer vision to fight poaching in Africa, performing satellite imagery analysis to assess the impact of natural disasters, and developing tools to evaluate COVID-19 risks. Additionally, Appsilon champions the open-source movement, promoting collaboration and innovation within the tech community. By nurturing an environment centered on open-source principles, we believe we can catalyze further advancements that will ultimately benefit society at large, creating a better future for everyone.

Media

Media

Integrations Supported

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

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

$899 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

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

Dimodelo

Company Location

Australia

Company Website

www.dimodelo.com

Company Facts

Organization Name

Appsilon

Date Founded

2013

Company Location

Poland

Company Website

appsilon.com

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

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

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