Data Forward: AI and Data Management News Data Management Architectures with Ashwin Rajeeva, Co-founder & CTO Acceldata
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Jan 23, 2025 Ashwin Rajeeva, Co-founder and CTO of Acceldata, shares his expertise on next-generation data management architectures. He discusses the shift to modern, cloud-native frameworks and the critical balance between structured and unstructured data management. Ashwin emphasizes the need for enterprises to adopt hybrid strategies while upskilling their workforce to navigate evolving challenges. He also highlights the importance of data observability and reassesses traditional metrics of data quality in the context of AI-generated content.
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Next-Gen Data Architectures
- Next-gen data architectures must handle larger data scales, unstructured data, and the rise of cloud computing.
- Enterprises need hybrid strategies to integrate legacy on-prem systems with modern cloud architectures.
Hybrid Cloud Strategies
- Data management has existed for two decades, and many companies have large amounts of on-prem data.
- Cloud offers flexibility but faces compliance and governance hurdles, necessitating hybrid strategies.
Data Observability
- Data observability helps manage the increasing complexity of data landscapes with multiple data sources and systems.
- It provides a single pane of glass for monitoring data pipelines, quality, reliability, and cost.