Revolution Data Platforms
What we do
What sets us apart
In the field of cloud analytics and AI, the landscape is continuously
evolving. Best practices are still being written, and techniques are in a constant state of flux. This is where RDP distinguishes itself:
Pioneering Experience
Proven Track Record
Customized Solutions
Our Services
Data-driven, customer centric digital services
Data Governance
- Data Quality Management
- Data Security and Privacy
- Data Policies and Standards
- Data Management
- Data Lifecycle Management
- Compliance and Auditing
- Master Data and Reference Data Management
- Change Management
Analytics & Engineering
- Data Architecture and Integration
- Data Collection and Ingestion
- Data Storage and Database Management
- Data Processing and ETL
- Infrastructure and Architecture
- Predictive Analytics
- Data Visualization
- Realtime Data Analytics
- Framework for Cloud Adoption
- Architectural Cloud Solutions
- Migrating to the Cloud
- Ensuring Cloud Security
- Optimizing Cloud Costs
- Disaster Recovery Solutions in Cloud
- Infrastructure as a Code
- Data Mind (chat with your data)
- Code generation and explanation
- Forecasting & classical machine learning
- Governance and Strategy for AI
- AI-based Optimization and Planning
- MLOPS/LLMOps
- Driving Hyperautomation
Automation &. Other Services
- Data Analytics & AI landing zone
- Cloud Managed Services
- Cloud Adoption Strategies
- CI/CD Pipelines
- IoT Platforms
- Real Time Analytics
The team behind RDP
About Us
DataMind – Your Very Own LLM In A Box.
Introducing DataMind from Revolution Data Platforms, your key to unlocking the power of unstructured data. Transform documents, emails, and texts into actionable insights and create a centralized, searchable hub for your information. Identify trends, analyze customer sentiments, and gain competitive advantage with ease. DataMind integrates generative AI to automate content creation and reporting, enhancing user interaction through intuitive design. Connect seamlessly to various data sources and streamline your operations, turning unstructured data into a strategic asset for innovation and growth.
Discover The Power Of Code Interpreter
Experience DataMinds’ ground-breaking optimization of generative AI transforming your plain English questions into actionable insights without the need for coding. This tool not only automates the translation of inquiries into Python or SQL queries but also executes and analyzes them to deliver precise, actionable results. DataMind is custom-trained AI for various industries, the CODE INTERPRETER offers effortless data exploration, increased efficiency, and expert-level insights, empowering you to make data-driven decisions quickly and effectively, regardless of your technical background. Revolutionize your approach to data with DataMind, a tool designed to streamline complexity and enhance productivity.
Revolutionize With Auto Structure
DataMinds’ AUTO STRUCTURE abilities is an advanced solution designed to automate the Extract, Transform, and Load (ETL) process for unstructured data such as PDFs and documents. Our cutting-edge generative AI technology intelligently scans, mines, and transforms data, creating clean, structured tables without manual effort. DataMinds’ AUTO STRUCTURE seamlessly integrates this data into your existing systems, ready for deep analysis and actionable insights. By reducing manual processing time by up to 90%, enhancing data accuracy, and cutting operational costs, AUTO STRUCTURE empowers your business to make faster, smarter decisions based on reliable data, ultimately maximizing your return on investment. Embrace AUTO STRUCTURE and transform your data management into a strategic advantage.
Are You AI Ready?
In today’s fast-paced world, Artificial Intelligence isn’t just a trend—it’s the future of business. But the question is, are you and your business prepared to harness its full potential? Whether you’re just getting started or looking to refine your strategy, our insights will help you stay ahead of the curve. Get ready to transform your business with AI—have your free readiness test – today!
Our Products
Customer-centric, data-driven digital products
Databricks
- Databricks Machine Learning
- Databricks Workspace
- Unified Analytics Platform
- Databricks SQL
- Governance and Security
Microsoft
- Power Apps
- Power Automate
- Power BI
- Microsoft Fabric
- Dynamics 365
Azure
- Azure SQL Database
- Azure Stream Analytics
- Azure Databricks
- Azure Data Factory
- Azure Synapse Analytics
Our Partners
Collaborating to drive innovation and deliver
transformative solutions.
Blog
Think further with our expert insights
16 April 2024
TL;DR: This article explores building a robust data lakehouse using the medallion architecture, which organizes data into three layers—Bronze for raw data ingestion, Silver for data transformation, and Gold for optimized data aggregation. Best practices
16 April 2024
Notebooks in Synapse Azure Synapse Analytics’ most appealing feature at first glance is the Synapse Studio. One unified UX across data stores, notebooks and pipelines. Notebook experience is appreciated the most among folks who read
16 April 2024
TLDR; In the case that you want to route all the outbound traffic from Databricks clusters to Azure Firewall, you need to create a UDR (User Defined Route) and add it to the subnet where
16 April 2024
TLDR IP Access list is one of the ways to netowrk-isolate Azure Databricks. It is a list of IP addresses that are allowed to access Azure Databricks. You can use this list to control access
16 April 2024
Credit Thank you to Olivier Martin for your valuable insights and contributions to this post. Oliver Martin is a Microsoft Cloud Solution Architect for data analytics & AI. TLDR When creating a linked service to
16 April 2024
TLDR; The documented minimum permissions required for using the synapsesql connector for spark to read or write data from Synapse SQL Pools is giving high privileges to spark users even though the required operation is