Many organizations have to address challenges that arise from inherent limitations in legacy data architecture. The processes and data management associated with traditional architecture leads to a delay in response time, low data processing throughput, and limits on the extraction of insights. Modernizing a data architecture means adapting or developing a data solution that is scalable, agile, high-speed, and sustainable. With our data modernization offerings, CloudMoyo helps enterprises make a smooth data transition from legacy architecture to a modern platform and help them to optimize, transform, and digitize it.
What can you do with a modern data architecture?
Transformation to a modern data architecture leads to zero latency in data and provides intelligent insights to aid the business decision-making process.
Migration of a database while ensuring data quality
Data architecture design
Planning for the design of new data processing and a storage system
Creating a data model by applying standard techniques
Transition of data from traditional architecture to a cloud platform
Ready to modernize your data platform?
CloudMoyo helps progressive enterprises to implement a modern data architecture solution that can digest high-speed data in real-time, giving predictive correlations and patterns. Our expertise includes enterprise data management, modern cloud data warehousing, data lake solutions, big data solutions, and data bricks.
No limits for data storage for all data types
Store data of any size, shape, and speed with Azure Data Lake
Real-time data processing
Leverage Azure Stream Analytics for processing real-time data streams
CloudMoyo offers a comprehensive kit of workshops that includes:
"Azure SQL Data Warehouse is a fundamental part of our IT ecosystem. Cloud-based data solutions like Azure along with a technology partner like CloudMoyo are going to be crucial for data-intensive companies like ours"
- Director, Business Intelligence at a Fortune 500 company