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Why IBM DB2 is easier to administer than Oracle

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Case study: How smart data fabric architecture unlocks value

By: InterSystems

Type: Case Study

Broadridge Financial Solutions is a global fintech leader that provides investor communications and technology solutions to banks, broker-dealers, hedge funds, and other financial corporations. 

With growing volumes of data incoming from a wide variety of sources, they needed a better data management and distribution architecture that could support future data loads and fast, on-demand access to real-time data.

This case study details how the InterSystems IRIS® data platform helped Broadridge develop a 360-degree scalable data architecture to aggregate data from multiple sources and meet their other objectives, including reduced infrastructure costs. 

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    The Growing Importance of Graph Databases for AI

    By: Amazon Web Services

    Type: ESG White Paper

    Graph databases, like Amazon Neptune, play a critical role in building powerful generative AI (GenAI) solutions. Graphs are known for their efficient handling of complex and interconnected data and are particularly well suited to the demands of GenAI applications, which require rapid processing of relationships and patterns within large data sets.

    They further facilitate advanced data modeling, real-time data processing, and scalability—features essential for the dynamic and context-rich tasks handled by GenAI. With technologies like GraphRAG, graphs enable the development of more nuanced and context-aware GenAI applications by enabling the sophisticated management of semantic relationships within data.

    This capability is crucial for applications such as personalized recommendation engines, sophisticated content generation, knowledge graphs, and dynamic interaction systems, all of which rely on deep contextual understanding to function effectively.

    This white paper aims to guide customers on how they improve the quality of GenAI applications using graphs to significantly enhance the capabilities of GenAI applications, ultimately driving competitive advantages and innovation.

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    Choosing the right database for your workload

    By: Aerospike

    Type: Webcast

    Several years ago, it was easy – there was only one choice for your Database: RDBMS. Today, there are dozens of options for your application data layers and it is not that easy anymore, with so many options, from relational and non-relational databases for high-performance transactional applications, an in-memory data store for caching and real-time workloads, graph, document and more.

    This session will help you choose the right database for your application and make sure you have the right tool for the job.

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