The Race to Unified Analytics: Next-Gen Data Platforms and Architectures

Presented by

Stephen Darlington, Principal Consultant, GridGain

About this talk

Despite ongoing investment in cloud platforms and analytics tools, many companies are still struggling with truly unlocking the business value of all their data. While the ways that users want and need to work with data continue to evolve, the increasing complexity of data and analytics systems and proliferation of data silos often pose significant hurdles. This is especially true when data is managed across a patchwork of legacy systems and new technologies adopted tactically without full consideration of broader data management imperatives and future needs. Ultimately, organizations want to empower their users with fast, easy access to actionable, reliable information and insights. To examine next-generation platforms and architectures, along with key issues such as integration, governance and security, join GridGain's Stephen Darlington and DBTA for this on-demand webinar.

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GridGain is a unified real-time data platform that enables a simplified and optimized data architecture for enterprises that require extreme speed, massive scale, and high availability from their data ecosystem. GridGain’s distributed memory-first architecture and colocated compute deliver data processing and analytics at millisecond latencies, with configurable disk-based persistence for added durability. Horizontally scalable clusters can be deployed both on-premises and natively in public or private clouds, empowering companies to handle even the most demanding workloads in multi, hybrid, and inter-cloud environments. GridGain is trusted by companies like Citi, Barclays, American Airlines, AutoZone, and UPS to accelerate their existing applications, speed operational analytics and fraud detection, train machine learning models for AI, and provide fast-access data hubs. To learn more, please visit