Data Platform Modernisation
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Traditional data platforms lack the speed, flexibility, and scalability to deliver fast insights. They are constrained by physical infrastructure limitations, siloed operations, and the inability to evolve.
A modern data platform is characterized by a fast, fault-tolerant infrastructure, a high degree of collaboration, and the ability to process a high volume and variety of data. It can facilitate self-service business intelligence and predictive analytics. As a result, a modern data platform embodies the power to optimize data availability, scalability, and usability.
The process of transferring from a data architecture with outdated or siloed legacy databases to a modern platform which can fulfill the current and future (+/- 5 years) data needs is called Data Platform Modernization. It is often cloud native, integrates data from multiple systems, and is cost efficient to setup and maintain.
Explore our data platform modernisation services
Sparkle has developed his own pragmatic reference architecture based on years of experience, standards and industry best practices. Our reference architecture serves a starting point to develop a customer specific data architecture. By putting architecture at the start of every project and the heart of every organization, we make success predictable.
Do contact us to discuss how to overcome your data platform challenges.
Challenges our data experts solve
More insights about data platform modernisation
Attend our newest webinar with experts Christof Steyaert & Karel Smits to learn about Microsoft Fabric’s potential impact on your data business.
By implementing a modern data platform VAR reduced manual work, obtained better insights, phased out legacy software and discovered possibilities to monetize data.